Intro: Welcome to Syntax. Welcome to a brand new episode of the Front End Happy Hour podcast. Welcome to this week’s JS Party. Live from Ship Shape Studios, this is Whiskey Web and Whatnot. With your hosts, Robbie the Wagner, and me, Charles William Carpenter III. That’s right Charles. We drink whiskey and talk about web development.
Intro: I mean, it’s all in the name. It’s not that deep. This is Whiskey Web and Whatnot. Do not adjust your set.
Robbie Wagner: Hey,
Robbie Wagner: what’s up everybody? Welcome to Prosecco Programming and Patter.
Robbie Wagner: You might have heard of Whiskey Web and whatnot, but we’ve changed today. , We’ve got some, some lovely Prosecco. We have guest host Jason Langsdorf and our guest Angie Jones. How’s it going? Oh, okay. So you’ve been on the show before, but for anyone who has not heard that one and has not heard of you, could you please give a few sentences about who you are and what you do?
Robbie Wagner: Yeah,
Angie Jones: Yeah, so I’m Angie Jones. I am VP of engineering over AI Tools and Enablement at Block.
Angie Jones: worked in various roles throughout tech over the decades, but yeah, I love, teaching and speaking and talking about tech.
Robbie Wagner: Nice, nice. All right, so the thing we’re all here for, we’ve got this Prosecco. It is a hundred percent Prosecco.
Robbie Wagner: And it is from Costco, so you know, it’s good. Yeah, let’s get into it.
Angie Jones: Bubbly,
Robbie Wagner: I guess I should be pouring this here. I don’t know if you could even hear it if I did. Oh, you kind of
Robbie Wagner: can
Angie Jones: Oh,
Jason: Yeah, there it is.
Jason: Cheers.
Jason: You
Jason: got
Jason: a toast for us?
Robbie Wagner: I do.
Robbie Wagner: Okay.
Robbie Wagner: To MCP, the protocol that finally made our ais talk to each other instead of just hallucinating alone. Cheers to context, connection, and controlled chaos.
Angie Jones: love that.
Angie Jones: Oh, Alright,
Robbie Wagner: so this one tastes remarkably more like wine than the last one.
Jason: Yeah,
Jason: last time we had bubbly juice.
Jason: This time it tastes like wine and it tastes like Costco wine.
Robbie Wagner: Is that high praise or
Angie Jones: ah, yeah.
Angie Jones: May
Jason: are we starting
Robbie Wagner: a headache? Yeah. Okay. yeah. Not a lot of flavor notes or anything to write home about. , It’s a Prosecco.
Robbie Wagner: Alright. Our rating system is zero to eight tentacles, zero being the worst, eight being the best.
Robbie Wagner: Four and a half-ish being middle of the road. What do you think, Jason?
Jason: know.
Jason: I, I think I gotta be, , maybe more gentle because Prosecco is not typically my favorite.
Jason: But this one
Jason: in particular, it’s a little metallic.
Robbie Wagner: So the thing about Italian wine though, is that it all has to be like approved by some guy who says, this tastes like Prosecco, check mark. yes, it’s DOC labeled.
Robbie Wagner: I ripped it all off. But,
Robbie Wagner: yeah.
Jason: Well then
Jason: my apologies to
Jason: Italy cause I’m rating this at two.
Angie Jones: oh my God.
Robbie Wagner: oh, what do you think,
Robbie Wagner: Angie?
Angie Jones: You know, I like,
Angie Jones: , My Prosecco and wines on the sweeter side, and this does give me those sweeter notes, so I
Angie Jones: really like that.
Angie Jones: I usually will drink something like this as a mimosa with some orange juice. So I’m thinking about it in that regard. And it would, I think it would, I think it would be really good. So I’m gonna go with like,
Angie Jones: maybe like a four
Angie Jones: and a
Angie Jones: half.
Robbie Wagner: Okay. Alright.
Robbie Wagner: Yeah. I’m gonna say, I’m gonna say five.
Robbie Wagner: It’s, it’s
Robbie Wagner: a Prosecco.
Angie Jones: It’s Prosecco.
Robbie Wagner: Prosecco.
Robbie Wagner: Simple Pro.
Robbie Wagner: We
Robbie Wagner: could mix the other one in, which is kind of like
Robbie Wagner: a
Jason: That’s it there. Yeah, then it’s, then it’s kind of a
Angie Jones: Then I get a mimosa.
Robbie Wagner: Alright.
Robbie Wagner: got
Robbie Wagner: a few lukewarm takes here. Claude or
Robbie Wagner: GPT
Angie Jones: as
Angie Jones: far
Angie Jones: as
Angie Jones: models.
Robbie Wagner: Yeah, no context at all as to when you would be picking. Which, just which one? Oh, wow.
Angie Jones: I can’t
Angie Jones: go
Angie Jones: the, it
Angie Jones: depends
Angie Jones: route.
Robbie Wagner: No, You can, I’m,
Robbie Wagner: I’m just kidding. I’m just
Angie Jones: okay. Okay. So it
Angie Jones: definitely depends on what I’m trying to do. So if I’m trying to code, do anything like really technical, I’m gonna grab Claude all day. , If I’m having a discussion, I’m trying to brainstorm something like that, I’m gonna go with GPT.
Angie Jones: You know, they say the GPT five is pretty good at coding. , I don’t know. I haven’t tried it. I don’t like it so much for even discussions. So I definitely don’t wanna try it
Angie Jones: for coding.
Angie Jones: , But yeah,
Angie Jones: , That’s
Angie Jones: my
Angie Jones: take. Okay.
Robbie Wagner: Okay. Yeah, I’ve not had much success with GPT and coding. It gives me a
Robbie Wagner: lot of trash. Yeah.
Robbie Wagner: Yeah.
Angie Jones: yeah.
Robbie Wagner: alright, So,
Robbie Wagner: I won’t
Angie Jones: waste my time.
Robbie Wagner: Yeah.
Angie Jones: Yeah.
Robbie Wagner: Is H-T-M-L-A programming language?
Angie Jones: No.
Angie Jones: It’s a
Angie Jones: language,
Angie Jones: it’s a
Angie Jones: markdown Language.
Angie Jones: There’s specific criteria that a programming language has. Things like conditional statements or iterations and things like that,
Angie Jones: that
Angie Jones: does
Angie Jones: not exist.
Angie Jones: And HTML. There’s some structure. Yes, there’s some rules, yes,
Angie Jones: but not quite
Angie Jones: programming.
Angie Jones: That
Angie Jones: does
Angie Jones: not
Angie Jones: mean
Angie Jones: I’m a
Angie Jones: gatekeeper.
Angie Jones: Let the record show.
Robbie Wagner: Okay,
Robbie Wagner: so follow up is CSSA programming language, You know
Angie Jones: that one I would’ve said no a while back, but they have gotten. Really deep. And I’m not a CSS wiz
Angie Jones: at
Angie Jones: all, so I
Angie Jones: don’t
Angie Jones: even
Angie Jones: cooking
Angie Jones: these
Angie Jones: days. They
Angie Jones: are cooking. like
Angie Jones: there’s a lot that you can do, or other people
Angie Jones: can
Angie Jones: do.
Angie Jones: I
Angie Jones: cannot do.
Angie Jones: But there’s
Angie Jones: a lot
Angie Jones: you
Angie Jones: can do
Angie Jones: with CSS, you know, nowadays as far as
Angie Jones: like logic
Angie Jones: and
Angie Jones: hierarchy
Angie Jones: and stuff
Angie Jones: like
Angie Jones: that. So,
Angie Jones: I don’t know.
Robbie Wagner: now?
Jason: they got
Jason: functions. they
Jason: got
Jason: if else
Jason: now.
Jason: Okay.
Jason: Like it’s, we’re, I think we’re
Jason: touring
Angie Jones: at this.
Robbie Wagner: I think so. Yes. All
Angie Jones: Alright.
Robbie Wagner: You heard it
Robbie Wagner: here first.
Robbie Wagner: Is AI to blame when people do dumb shit with it?
Robbie Wagner: Like,
Robbie Wagner: I don’t know. I guess, , like should there be guardrails or, I don’t know. I don’t know what, what the context is,
Robbie Wagner: but you know.
Angie Jones: you know?
Angie Jones: I
Angie Jones: found myself this weekend,
Angie Jones: uh,
Angie Jones: telling
Angie Jones: some
Angie Jones: reply
Angie Jones: guy
Angie Jones: skills
Angie Jones: issue.
Angie Jones: You
Angie Jones: know,
Angie Jones: like
Angie Jones: I, I
Angie Jones: do
Angie Jones: think that
Angie Jones: this is a
Angie Jones: non-deterministic tool.
Angie Jones: AI is
Angie Jones: right?
Angie Jones: Yeah. This is non-deterministic.
Angie Jones: So when you say it
Angie Jones: did
Angie Jones: something
Angie Jones: wrong, like
Angie Jones: What does that mean? Like there
Angie Jones: there is no
Angie Jones: right.
Angie Jones: You
Angie Jones: know
Angie Jones: what I mean? ,
Angie Jones: And
Angie Jones: so the
Angie Jones: way that
Angie Jones: you
Angie Jones: get
Angie Jones: it to perform
Angie Jones: what you want it to do is
Angie Jones: very
Angie Jones: much
Angie Jones: so
Angie Jones: a
Angie Jones: human
Angie Jones: skill.
Angie Jones: Mm-hmm.
Angie Jones: Right?
Angie Jones: Yep.
Angie Jones: ,
Angie Jones: And so
Angie Jones: I would
Angie Jones: say
Angie Jones: it’s
Angie Jones: not the
Angie Jones: AI’s fault,
Angie Jones: , But I don’t wanna blame humans either. Like this is new to all of us. We’re all trying to figure out how do
Angie Jones: we work with non-deterministic.
Angie Jones: Very
Angie Jones: powerful.
Angie Jones: Systems now,
Angie Jones: right? Yeah. And so
Angie Jones: it is a skill issue. I, I wasn’t trying to be
Angie Jones: mean, but
Angie Jones: it
Angie Jones: really
Angie Jones: is a
Angie Jones: skill issue.
Jason: Well, I, I think too, it is really important to keep in mind that like AI can’t be blamed because AI is a tool.
Jason: Like if you, if you hit yourself
Jason: in the
Jason: head
Jason: with a
Jason: hammer,
Jason: it’s
Jason: not the
Jason: hammer’s
Jason: fault,
Robbie Wagner: but should there have been a warning on the hammer that said, if you hit
Jason: Well, and
Jason: and this is sort of the question is like, you know, is it, necessary to put a, the contents hot label on a cup of coffee or things like that? And, you know, it, it sounds silly like that McDonald’s, , lawsuit is always pointed to as like the frivolous lawsuit.
Jason: But if you actually
Jason: look into it,
Jason: that coffee was so dang hot that it gave that woman, like, it fused her skin together. It was so hot, right? So it wasn’t
Jason: really
Jason: a frivolous lawsuit.
Jason: But it, it does kind of point to like, okay, where does responsibility end? Like if, if I have a
Jason: knife in
Jason: my house, do I need to have a posted placard on my front door that says caution sharp things contained within this house.
Jason: and I think , the same is kind of true with digital tools like LLMs are
Jason: not
Jason: intelligent,
Jason: We don’t have. They, well, they’re anthropomorphized, which is a really dangerous thing because
Jason: we think of them
Jason: as people,
Jason: despite them just
Jason: being complicated
Jason: calculators. And so if you go to your complicated calculator that’s been explicitly prompted like in the GPT-4 era
Jason: to be a sycophant, and you say, I don’t like what you said to me, tell me something else.
Jason: And it says, you’re absolutely right. Here’s the thing you wanted to hear.
Jason: And
Jason: then people are like, oh, it’s
Jason: the AI’s fault. It’s
Jason: like, no, it’s not
Jason: like if, like this is the, this is the the billionaire problem. If you only surround yourself with people who tell you what you want to hear, and they give you bad advice because you push everybody who gives you good advice away,
Jason: that is not their fault.
Jason: That’s your fault. Right. And if you won’t listen to a tool and it tells you the thing you already wanted it
Jason: to say,
Jason: that’s still
Jason: on you.
Robbie Wagner: yeah,
Angie Jones: That’s spicy.
Angie Jones: Jason.
Jason: I don’t even
Jason: think that’s spicy. That’s like, like if I, if I hold my calculator
Jason: upside
Jason: down and
Jason: write boobs,
Jason: my
Jason: calculator is
Jason: not being inappropriate. Right.
Robbie Wagner: Yeah,
Robbie Wagner: I don’t know. It’s a hard problem because I feel like there’s not enough education around, like for the casual, non-technical person, they just pick up some AI and they’re like, oh, this is like super smart. It knows what it’s talking about. You tell it to make you a plan and that plan sounds
Robbie Wagner: smart.
Jason: this is the thing,
Jason: that I think needs a warning is I think whenever you start a ChatGPT 4 session, ? It should come with an acknowledgement that says like before you start this, you know
Jason: this
Jason: isn’t
Jason: alive, This
Jason: is a calculator. You
Jason: are using
Jason: a
Jason: tool.
Jason: This is not a person, it’s not a friend, it’s not
Jason: a conscious entity.
Jason: It’s a tool.
Jason: And that to me seems like a reasonable thing because it is masquerading as a, conscious person,
Robbie Wagner: Yeah.
Angie Jones: But it’ll tell you,
Angie Jones: it’ll say I’m
Angie Jones: not
Angie Jones: intelligent,
Angie Jones: I’m
Angie Jones: not human.
Jason: so well sometimes
Jason: until you ask it, like, do you have feelings? And it’s like, I have feelings. And it, like, it’ll do, it’ll do stuff that’s really interesting
Jason: where
Jason: it
Jason: it, you know,
Jason: it puts on,
Jason: its, its
Jason: anthropomorphized
Jason: face.
Angie Jones: My
Angie Jones: ChatGPT Don’t
Angie Jones: play that
Angie Jones: Like it knows. Stay
Angie Jones: your place.
Angie Jones: You are not
Angie Jones: me.
Angie Jones: You are not one
Angie Jones: of
Angie Jones: us.
Robbie Wagner: Yeah.
Robbie Wagner: All right, so we’re at all Things Open. So I want to ask open source things. , How has Open source influenced your
Robbie Wagner: life?
Angie Jones: Oh
Angie Jones: my
Angie Jones: God.
Angie Jones: I
Angie Jones: think
Angie Jones: it
Angie Jones: gave
Angie Jones: me
Angie Jones: a great
Angie Jones: , Pathway
Angie Jones: to,
Angie Jones: I
Angie Jones: guess like
Angie Jones: work
Angie Jones: out loud,
Angie Jones: When you’re working at a company on enterprise software, like you can’t
Angie Jones: really
Angie Jones: get into the nitty gritty of like.
Angie Jones: What
Angie Jones: you’re building
Angie Jones: or
Angie Jones: the techniques and things that you all using just a little
Angie Jones: bit, right? You can share
Angie Jones: a
Angie Jones: little bit, but not the whole story and open source.
Angie Jones: ,
Angie Jones: Once I started working on
Angie Jones: open source
Angie Jones: projects that
Angie Jones: gave
Angie Jones: me something that I can publicly talk about, , and, you know, talk with
Angie Jones: others about,
Angie Jones: you
Angie Jones: know,
Angie Jones: now
Angie Jones: we have like
Angie Jones: this common thing that we use or we invest
Angie Jones: in
Angie Jones: or we
Angie Jones: love or we hate,
Angie Jones: or whatever,
Angie Jones: you know.
Angie Jones: But that gave
Angie Jones: us something,
Angie Jones: , To talk about in the public domain, right? And
Angie Jones: so,
Angie Jones: that
Angie Jones: was
Angie Jones: really big for
Angie Jones: me because
Angie Jones: it gave me a platform and a stage and, you know, , the
Angie Jones: opportunity
Angie Jones: to
Angie Jones: make myself known in this space.
Angie Jones: But
Angie Jones: more
Angie Jones: than
Angie Jones: that, like I actually
Angie Jones: studied,
Angie Jones: ,
Angie Jones: Open
Angie Jones: source
Angie Jones: while doing my master’s.
Angie Jones: We had a open source, class.
Angie Jones: And
Angie Jones: so
Angie Jones: I
Angie Jones: learned
Angie Jones: a lot
Angie Jones: about
Angie Jones: just
Angie Jones: like
Angie Jones: governance
Angie Jones: of projects and, , maintainers and, how to be
Angie Jones: nice
Angie Jones: to
Angie Jones: contributors and
Angie Jones: welcome it and, how not to do this with your
Angie Jones: project.
Angie Jones: For those listening, I’m doing my arms like I’m hoarding
Angie Jones: something.
Angie Jones: basically, it was
Angie Jones: different.
Angie Jones: Like, you know, I grew up in the era of like Microsoft software where. Everything was so proprietary no way could you like look at it, , let alone contribute to it. And, you know, everything
Angie Jones: was
Angie Jones: a pay to play
Angie Jones: model.
Angie Jones: And so to see like open source come and like really shake that up and just change
Angie Jones: the minds in how
Angie Jones: we
Angie Jones: software
Angie Jones: that’s been
Angie Jones: I
Angie Jones: don’t know,
Angie Jones: like
Angie Jones: just groundbreaking
Angie Jones: for me
Angie Jones: personally.
Jason: I mean, and
Jason: not, and
Jason: not
Jason: just
Jason: shake
Jason: it
Jason: up, but
Jason: like
Jason: almost
Jason: completely extinguished. The
Jason: other model. Yeah.
Jason: Like even the, even the hardcore closed source people are still, they’re using and often shipping
Jason: open source, like Microsoft was the
Jason: number one opponent. And here they are.
Jason: They’re like
Jason: the champions
Jason: of open source. these days. Yes.
Robbie Wagner: Yeah.
Angie Jones: oh,
Angie Jones: so
Angie Jones: Yeah,
Angie Jones: that’s exactly
Angie Jones: right.
Angie Jones: and that,
Angie Jones: that’s been really interesting to
Angie Jones: watch.
Angie Jones: So
Angie Jones: much
Angie Jones: so
Angie Jones: that
Angie Jones: they
Angie Jones: acquire GitHub,
Robbie Wagner: and
Robbie Wagner: NPM
Angie Jones: and
Angie Jones: NPM and NPM. So, yeah. That’s been really interesting to watch. I, I love the open source community, I work on an open source,
Angie Jones: ,
Angie Jones: AI agent now named Goose, and I
Angie Jones: did
Angie Jones: a
Angie Jones: talk
Angie Jones: a
Angie Jones: couple of weeks ago.
Angie Jones: Just
Angie Jones: talking
Angie Jones: about the open source nature
Angie Jones: of
Angie Jones: it
Angie Jones: and
Angie Jones: how important open source is right now when
Angie Jones: we
Angie Jones: look
Angie Jones: at like
Angie Jones: the agentic
Angie Jones: AI movement,
Angie Jones: so
Angie Jones: we’re starting
Angie Jones: to see
Angie Jones: these kind of
Angie Jones: walled
Angie Jones: gardens again, where you have proprietary companies
Angie Jones: that are
Angie Jones: controlling both the models
Angie Jones: as
Angie Jones: well as the
Angie Jones: agent.
Angie Jones: call
Angie Jones: me
Angie Jones: a
Angie Jones: conspiracy
Angie Jones: theorist,
Angie Jones: but
Angie Jones: if
Angie Jones: I’m
Angie Jones: gonna benefit from the agent taking the long way to solve your problem because
Angie Jones: you’re
Angie Jones: spending
Angie Jones: more money
Angie Jones: on
Angie Jones: tokens.
Angie Jones: I don’t
Angie Jones: know. I might bake
Angie Jones: that
Angie Jones: into
Angie Jones: Yeah.
Angie Jones: You
Angie Jones: know
Angie Jones: what
Angie Jones: I
Angie Jones: mean?
Angie Jones: I don’t
Angie Jones: know.
Angie Jones: I’m
Angie Jones: not saying
Angie Jones: anybody’s
Angie Jones: doing that,
Angie Jones: but just things that cross my mind, you know what I mean? And so, , I think that even
Angie Jones: right
Angie Jones: now
Angie Jones: as
Angie Jones: we are like.
Angie Jones: Looking at ai, we’re trying to figure it out, is really important for the open source players to have a seat
Angie Jones: at
Angie Jones: this table
Angie Jones: and to help, basically guide where we’re
Angie Jones: going,
Angie Jones: which is
Angie Jones: what I think
Angie Jones: that, , goose does, right? So Goose is not , the most used agent
Angie Jones: or
Angie Jones: anything
Angie Jones: like that, but I’ll tell you what it
Angie Jones: is.
Angie Jones: It
Angie Jones: was
Angie Jones: the
Angie Jones: reference implementation for
Angie Jones: MCP from
Angie Jones: the client
Angie Jones: side,
Angie Jones: and
Angie Jones: because it’s open
Angie Jones: source.
Angie Jones: The community decides
Angie Jones: what Ag
Angie Jones: agentic AI will be for them because
Angie Jones: we
Angie Jones: have
Angie Jones: the
Angie Jones: most
Angie Jones: permissible
Angie Jones: license. People can fork it, people can contribute to it, and , they contribute the features they want to see.
Angie Jones: And
Angie Jones: a
Angie Jones: lot of
Angie Jones: that is
Angie Jones: transparency.
Angie Jones: and
Angie Jones: this forces
Angie Jones: the other big players to then adopt that. So Goose usually
Angie Jones: is
Angie Jones: the
Angie Jones: first one that’s
Angie Jones: gonna
Angie Jones: have things
Angie Jones: like.
Angie Jones: Huh? Why are we stuck with one model and one provider? What
Angie Jones: if
Angie Jones: we
Angie Jones: opened
Angie Jones: this
Angie Jones: up
Angie Jones: and you bring
Angie Jones: any model, you
Angie Jones: want to this, right?
Angie Jones: People
Angie Jones: weren’t
Angie Jones: doing that, and now
Angie Jones: you’re starting
Angie Jones: to see this is now being forced because consumers are saying, Hey, I don’t want just one model.
Angie Jones: I might want GPT for my planning and reasoning,
Angie Jones: and I
Angie Jones: want to Use
Angie Jones: Claude when
Angie Jones: it’s time to execute.
Angie Jones: Or
Angie Jones: even
Angie Jones: a cheaper local model for execution
Angie Jones: or
Angie Jones: something like that, right? And so, , the community,
Angie Jones: the
Angie Jones: open
Angie Jones: source
Angie Jones: community is the one that is pushing,
Angie Jones: what
Angie Jones: agen AI will be. And I, I’m
Angie Jones: proud that
Angie Jones: Goose is a
Angie Jones: one of the
Angie Jones: vehicles
Angie Jones: that
Angie Jones: allows them
Angie Jones: to do that.
Robbie Wagner: So somewhat related to open source and ai. Lemme think how I can say this. Like, you know the thing recently, everyone’s been all.
Robbie Wagner: Like, oh, if you can’t take art for free and use it in ai, then it’s like AI would die like you. We need all this free stuff. How do you think that relates to like code and like all the code it’s getting from GitHub and , is there a problem there and how do we like
Robbie Wagner: have
Robbie Wagner: some sort of funding back from that or something to keep sustaining open source?
Robbie Wagner: ‘cause if there’s nothing to pull from, then where does it get its data from?
Angie Jones: That’s
Angie Jones: a
Angie Jones: hard
Angie Jones: problem.
Angie Jones: I am not a fan
Angie Jones: of.
Angie Jones: How these models
Angie Jones: were born
Angie Jones: and trained on,
Angie Jones: ,
Angie Jones: Data,
Angie Jones: essentially without people’s
Angie Jones: permission.
Angie Jones: Right. I,
Angie Jones: don’t
Angie Jones: like that
Angie Jones: the
Angie Jones: world
Angie Jones: seems to have decided though, that
Angie Jones: this is
Angie Jones: so
Angie Jones: valuable
Angie Jones: that we are willing to
Angie Jones: overlook
Angie Jones: that
Angie Jones: you
Angie Jones: stole
Angie Jones: all
Angie Jones: of the
Angie Jones: data
Angie Jones: Yeah.
Angie Jones: From
Angie Jones: the internet
Angie Jones: to
Angie Jones: build these
Angie Jones: tools.
Angie Jones: Right?
Angie Jones: Yeah.
Angie Jones: So
Angie Jones: I
Angie Jones: don’t know.
Angie Jones: where we go from here on. I
Jason: there’s some precedent for ways to make this stuff work. Because basically what we’re looking for is, if a private company is gonna go into a public space and do something that benefits that company, it shouldn’t be solely for the company’s benefit. And so like an example of, of one way that we’ve seen this done is in Vancouver, for example, if you’re gonna build a building, you have to include a certain portion of that building that is affordable housing, because they’re worried that if people come in and just build luxury condos,
Jason: it’s
Jason: gonna ruin the city
Jason: because there won’t, you know, it won’t be possible for people to live there.
Jason: You know,
Jason: look at San Francisco for example. so , the people building. Can either put in that percentage of, of affordable housing or they can fund public works like a public park, a public library, something like that. So in some way, the company has to allocate some of its profit toward benefiting the community
Jason: that it’s going to benefit from. Right. And so one of the things I would love to see, and this is where I think the, like why they’re fighting so hard against regulation. I think that, , they should be taxed at a higher rate and that that should go back into funding, art, education, funding, actually paying for these programs that they benefit from.
Jason: if they need that to exist, if art is so important that if we made them pay for it, the company folds,
Jason: kind of
Jason: sounds like,
Jason: they need to build that into their profit
Jason: model. Right? because
Jason: otherwise,
Jason: I mean, the other, the other outcome is like, if we don’t do this, then they’re gonna continue to use this stuff for free.
Jason: Which is gonna disincentivize anybody from doing it because they know their work’s gonna get stolen, which means the input
Jason: suffer, which
Jason: means that eventually
Jason: this
Jason: dries up
Jason: and everybody’s far worse off for it.
Jason: So
Jason: this is
Jason: one of those things where, well, and
Jason: I
Jason: mean this is sort of the thing I’m worried about is that we, we’re very bad as an industry, as a country, as a, as a species at thinking about second and third order effects of things.
Jason: And the first order effect of AI is that everybody gets access to all this great information really fast. The second order effect is that it disincentivizes literally everybody else from creating because they know that their work is gonna get chewed up by the AI and they won’t get compensated for it.
Jason: So the third order effect is we stop getting good information and the AI’s are frozen at whatever level they were at,
Jason: if the companies are smart, then putting 10% of their profit into sustaining the creativity that makes their product good is a really wise investment. But I don’t
Jason: think
Jason: they’re smart.
Jason: I think they’re greedy
Jason: and I think
Jason: they’re,
Jason: not going
Jason: to do it. And
Jason: I think
Jason: it’s gonna cost
Jason: us a lot in the long run Unless we get regulation.
Robbie Wagner: when they first started, Sam Altman was all,
Robbie Wagner: oh
Robbie Wagner: yeah. Like this is
Robbie Wagner: a non-profit and like
Robbie Wagner: all
Robbie Wagner: this
Robbie Wagner: bullshit
Jason: I mean between, between like Sam Alton and Peter Thiel and Mark Andrees, and I think
Jason: we’ve realized
Jason: that the people in
Jason: charge are
Jason: not
Jason: good people.
Robbie Wagner: Yeah.
Robbie Wagner: Yes.
Robbie Wagner: Yeah,
Robbie Wagner: ‘cause I think if you did that and you took like all the money made and you put it in funds for like, if you put us all out of work, we get some of that money.
Jason: I, that’s,
Jason: the, I
Jason: think
Jason: this is,
Jason: sorry, this
Jason: is your
Jason: episode. I’m gonna rant.
Angie Jones: no, go.
Jason: the the thing that makes me the most mad is when you see an interview with these folks and they say something like, well, yeah, so AI is gonna make it so that people don’t have to work. we are gonna make it so that you live these lives of leisure and it’s gonna drive the prices down.
Jason: And I’m like, motherfucker, have you ever, ever
Jason: seen
Jason: a
Jason: company
Jason: voluntarily, Lower prices? Have you ever seen a
Jason: society make it possible for somebody to
Jason: exist
Jason: without having to make money?
Angie Jones: And the same people who are saying this
Angie Jones: are the
Angie Jones: same
Angie Jones: people
Angie Jones: that
Angie Jones: you
Angie Jones: know
Angie Jones: vote
Angie Jones: against.
Jason: right?
Angie Jones: The types of programs that help
Angie Jones: people
Angie Jones: in
Angie Jones: need. So
Angie Jones: now
Angie Jones: all
Angie Jones: of
Angie Jones: a
Angie Jones: sudden we’re all,
Angie Jones: in need and we think
Angie Jones: that these
Angie Jones: billionaires are going to say,
Angie Jones: oh,
Angie Jones: you
Angie Jones: know what?
Angie Jones: Here’s a
Angie Jones: couple of
Angie Jones: million
Angie Jones: dollars,
Angie Jones: Jason, go live
Angie Jones: your
Angie Jones: best life.
Jason: Yeah.
Jason: Like we’ve, we’ve literally never seen Peter
Jason: Thiel part
Jason: with anything to help somebody
Jason: else out. Like he is
Jason: out to amass the
Jason: most he can.
Jason: And if he wins the anti-regulation stuff and he, he becomes one of the, you know, the prime investors who has all the AI bucks coming in and he becomes the, you know, one of the world’s first trillionaires.
Jason: He’s not
Jason: gonna turn around
Jason: and pay for me
Jason: to go to art
Jason: school.
Jason: Yeah.
Jason: Right.
Jason: He’s gonna find a
Jason: way to monetize
Jason: my therapist.
Jason: Like,
Jason: you know what
Jason: I mean?
Jason: Like, he’s gonna
Jason: make it
Jason: so I
Jason: gotta
Jason: pay
Jason: to
Jason: go
Jason: outside.
Jason: Like,
Robbie Wagner: Yeah.
Jason: it’s, it’s, it’s just very frustrating that we’re, we’re saying like, oh no, don’t, don’t regulate innovation. Don’t regulate innovation. And then the promise is if we have unbounded regulation or unbounded innovation,
Jason: it’s
Jason: gonna
Jason: benefit
Jason: society.
Jason: We have. Zero proof, zero precedent, no plan, no promise on how they’re actually going to make anybody’s lives better. So the, end result most likely is that wealth disparity.
Jason: increases. I
Jason: don’t even
Jason: know
Jason: what
Jason: happens
Jason: next,
Jason: because
Jason: if we, if we don’t, well, I mean , the
Jason: last time we had
Jason: wealth
Jason: disparity
Jason: this bad,
Jason: right?
Jason: We
Jason: had, it was like the Great Depression, the end of the gilded age. The last
Jason: time
Jason: we saw that
Jason: in Europe,
Jason: they started cutting people’s heads off like it’s
Jason: historically,
Jason: this
Jason: does
Jason: not
Jason: end
Jason: well
Jason: for the very, very rich people.
Jason: Yeah. Right. And So interest, again, lack
Jason: of
Jason: understanding,
Jason: of second
Jason: and third
Jason: order
Jason: effects. Yeah.
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Angie Jones: I
Angie Jones: almost feel like people
Angie Jones: think,
Angie Jones: companies
Angie Jones: think
Angie Jones: that
Angie Jones: they can’t even
Angie Jones: afford
Angie Jones: to
Angie Jones: think
Angie Jones: about that.
Angie Jones: Like
Angie Jones: the
Angie Jones: race
Angie Jones: is so
Angie Jones: tight
Angie Jones: on
Angie Jones: a global scale
Angie Jones: of.
Angie Jones: we
Angie Jones: all know we are in a
Angie Jones: bubble. It’ll burst.
Angie Jones: Some
Angie Jones: will
Angie Jones: fall, some will stand.
Angie Jones: So everybody’s racing to be
Angie Jones: the one that stands
Angie Jones: in morals,
Angie Jones: ethics,
Angie Jones: everything
Angie Jones: is
Angie Jones: like,
Angie Jones: I have
Angie Jones: no time
Angie Jones: to think about that.
Angie Jones: I
Angie Jones: just gotta
Angie Jones: win the
Angie Jones: race.
Angie Jones: Yeah.
Angie Jones: You
Angie Jones: know,
Angie Jones: that’s
Angie Jones: what
Angie Jones: I
Angie Jones: feel
Angie Jones: like,
Angie Jones: that’s
Angie Jones: where
Angie Jones: we are.
Jason: ,
Jason: And
Jason: honestly,
Jason: this is to,
Jason: to
Jason: bring this
Jason: away
Jason: from the precipice of
Jason: a,
Jason: of
Jason: like
Jason: the most depressing episode of Whiskey Web and whatnot ever made. I
Jason: I I do wanna say this is one of the things that I really admire about you, specifically, Angie, is that
Jason: when
Jason: I saw
Jason: this coming up, my instinct was to back away.
Jason: I was like, I don’t want to be involved in this, because this is gonna be exactly what
Jason: you just.
Jason: Said,
Jason: and
Jason: you
Jason: dove
Jason: right in.
Jason: I looked at this
Jason: and I was like,
Jason: this is gonna be exhausting. These are not the people that I want to be surrounded with.
Jason: This is not the culture that I want to be a part of. And you looked at it and you said, i’m not gonna
Jason: not
Jason: be in that
Jason: room.
Jason: Like, I’m not gonna
Jason: let them make
Jason: decisions
Jason: without us
Angie Jones: they will.
Jason: I
Jason: admire
Jason: you.
Jason: because I don’t,
Jason: I don’t have the, whatever it is that, makes you strong enough to do that.
Jason: ‘cause I, I’m
Jason: like,
Jason: whatever, just
Jason: put me
Jason: in
Jason: the,
Jason: put
Jason: me in
Jason: the
Jason: data
Jason: mine, I
Jason: guess.
Jason: I’ll just work away when, when all the jobs are gone.
Robbie Wagner: Yeah. Let’s, let’s pivot back a little. Um,
Robbie Wagner: let’s
Robbie Wagner: talk about MCP in general. Still ai, but a little lighter. What is
Robbie Wagner: MCP.
Angie Jones: Okay,
Angie Jones: so MCP stands for Model Context Protocol. It’s a open standard that was developed by anthropic. It’s pretty
Angie Jones: new,
Angie Jones: less
Angie Jones: than a
Angie Jones: year old.
Angie Jones: It
Angie Jones: was
Angie Jones: released in November, 2024.
Angie Jones: So what
Angie Jones: MCP does
Angie Jones: . All the stuff we complained about in the early days of, , using AI where they’re hallucinating a lot and just kind of making things up and stuff like that.
Angie Jones: The reason they do that is ‘cause they don’t have context. So I mean, it’s literally they’re not failing. That’s how they were designed, right, is to generate a response, predict what should be the next word, like that. Is what they do, right? And
Angie Jones: so
Angie Jones: when
Angie Jones: you
Angie Jones: don’t
Angie Jones: have context
Angie Jones: in front
Angie Jones: of you.
Angie Jones: Yes,
Angie Jones: you maybe pick the wrong thing.
Angie Jones: , MCP
Angie Jones: provides
Angie Jones: a
Angie Jones: way
Angie Jones: to
Angie Jones: get
Angie Jones: your
Angie Jones: models
Angie Jones: context.
Angie Jones: And
Angie Jones: with that,
Angie Jones: the
Angie Jones: models now
Angie Jones: also
Angie Jones: have function calling abilities.
Angie Jones: Couple
Angie Jones: those two.
Angie Jones: And
Angie Jones: now
Angie Jones: you get to
Angie Jones: agents,
Angie Jones: right?
Angie Jones: Ag agentic ai,
Angie Jones: ,
Angie Jones: Where
Angie Jones: you can actually
Angie Jones: build
Angie Jones: software that can
Angie Jones: talk
Angie Jones: to
Angie Jones: these models.
Angie Jones: And then take actions on your behalf.
Angie Jones: And
Angie Jones: so
Angie Jones: in order for
Angie Jones: an agent to take action on
Angie Jones: your behalf, one, they need to
Angie Jones: be connected
Angie Jones: to
Angie Jones: your systems
Angie Jones: and
Angie Jones: they
Angie Jones: need
Angie Jones: data and
Angie Jones: context.
Angie Jones: So
Angie Jones: MCP is
Angie Jones: a
Angie Jones: standard
Angie Jones: that
Angie Jones: provides
Angie Jones: a
Angie Jones: way
Angie Jones: for
Angie Jones: the
Angie Jones: agents to get that context right. And.
Angie Jones: It’s, a nice, clean way so that you don’t have to do integrations with every single
Angie Jones: API
Angie Jones: that you might want your AI to talk to.
Angie Jones: Instead, if that
Angie Jones: API, is exposed via an MCP server,
Angie Jones: for example,
Angie Jones: you
Angie Jones: can just
Angie Jones: plug that into
Angie Jones: any agent. And MCP is,
Angie Jones: , LLM agnostic. It’s agent agnostic, so it truly is, this open
Angie Jones: standard and
Angie Jones: it’s
Angie Jones: been great
Angie Jones: for.
Angie Jones: us
Angie Jones: getting value
Angie Jones: out of ai.
Robbie Wagner: I’m
Robbie Wagner: trying to equate this to, so like in Ember, what I know, you used to have like serializers for your data, right? Or in anything where you need to munch some data, you’ll have a serializer.
Robbie Wagner: And if anyone didn’t quite get the, , standard right, the spec, right, they didn’t quite follow the spec. They have a lot of problems. So I’m wondering if that is a problem with MCP, if like some people are doing a little bit of their own flavor, not following the spec, like, and it doesn’t work everywhere or like what kind of challenges are you seeing around that?
Robbie Wagner: Or is it
Robbie Wagner: a challenge? I
Robbie Wagner: don’t know.
Angie Jones: It’s
Angie Jones: pretty simple. Um, , the spec is wide and so you don’t have to implement like every part of the spec, but
Angie Jones: there’s
Angie Jones: like certain parts you definitely do if you’re gonna. Like work
Angie Jones: at all. I guess most common part
Angie Jones: of that
Angie Jones: is
Angie Jones: the
Angie Jones: tools part of
Angie Jones: the spec. So
Angie Jones: as
Angie Jones: long as you follow
Angie Jones: that, you should be good.
Angie Jones: So
Angie Jones: your server might not have,
Angie Jones: all
Angie Jones: of
Angie Jones: the other
Angie Jones: pieces, but
Angie Jones: the tools part is critical in
Angie Jones: order
Angie Jones: for
Angie Jones: it
Angie Jones: to
Angie Jones: work. So as long as
Angie Jones: you
Angie Jones: follow
Angie Jones: that
Angie Jones: part,
Angie Jones: and
Angie Jones: it’s
Angie Jones: not like really hard,
Angie Jones: it’s
Angie Jones: like.
Angie Jones: Okay,
Angie Jones: describe
Angie Jones: the
Angie Jones: name like this, the description, and then what
Angie Jones: do you wanna do in the body?
Angie Jones: So
Angie Jones: very much like a regular function. So there’s
Angie Jones: syntax
Angie Jones: there of course,
Angie Jones: but
Angie Jones: , Other than
Angie Jones: that,
Angie Jones: yeah,
Angie Jones: it should be good to go.
Jason: I think I saw you, you post about this recently where you were saying that people are, are going out there saying, oh, this is our MCP agent for x.
Jason: Our agent four y are, are you seeing that, is that marketing or is that, are, are people trying to build
Jason: like little
Jason: walled gardens
Jason: inside of
Jason: MCP?
Angie Jones: Okay,
Angie Jones: so
Angie Jones: it, it’s the servers that they’re seeing that for. So they build a MCP server
Angie Jones: and a MCP server.
Angie Jones: Let’s say you make a MCP server
Angie Jones: for,
Angie Jones: let’s
Angie Jones: just
Angie Jones: say YouTube. All right.
Angie Jones: So I got MTP server for YouTube,
Angie Jones: which means if I
Angie Jones: plug this
Angie Jones: into,
Angie Jones: ,
Angie Jones: Any agent.
Angie Jones: Then it should be able to interact with YouTube
Angie Jones: on
Angie Jones: my
Angie Jones: behalf, meaning logged
Angie Jones: in
Angie Jones: as me, Angie, and
Angie Jones: do
Angie Jones: whatever I needed to do, right? So I can say something
Angie Jones: like,
Angie Jones: oh, find y’all the videos on
Angie Jones: MCP and make
Angie Jones: me
Angie Jones: like,
Angie Jones: , A playlist or something like that, right?
Angie Jones: Anyway,
Angie Jones: so
Angie Jones: if I
Angie Jones: were to make that server
Angie Jones: and
Angie Jones: I
Angie Jones: said, Hey.
Angie Jones: I
Angie Jones: made a
Angie Jones: new YouTube MCP server
Angie Jones: for
Angie Jones: goose,
Angie Jones: or
Angie Jones: for claw
Angie Jones: code,
Angie Jones: or
Angie Jones: something like
Angie Jones: that. Sounds silly.
Angie Jones: ,
Angie Jones: And the reason
Angie Jones: it
Angie Jones: sounds
Angie Jones: silly
Angie Jones: is because
Angie Jones: the
Angie Jones: MCP servers are supposed to
Angie Jones: be
Angie Jones: agent
Angie Jones: agnostic,
Angie Jones: meaning
Angie Jones: like,
Angie Jones: as
Angie Jones: long as
Angie Jones: it, the agent adheres to the spec, your
Angie Jones: MCP server
Angie Jones: works
Angie Jones: with all
Angie Jones: of
Angie Jones: them.
Angie Jones: So
Angie Jones: can’t see DODs, uh.
Jason: the, that’s
Jason: sort of
Jason: the
Jason: underlying question is
Jason: like,
Jason: are you
Jason: seeing,
Angie Jones: people say
Angie Jones: that I don’t.
Angie Jones: know
Angie Jones: if it’s marketing
Angie Jones: or
Angie Jones: just a misunderstanding.
Angie Jones: So for example,
Angie Jones: If
Angie Jones: you use claw code,
Angie Jones: right?
Angie Jones: You
Angie Jones: might
Angie Jones: make
Angie Jones: an MCP server, you tried it
Angie Jones: with
Angie Jones: claw code and you say, yeah, I’m
Angie Jones: just
Angie Jones: gonna
Angie Jones: advertise
Angie Jones: it
Angie Jones: as this
Angie Jones: ‘cause I
Angie Jones: haven’t even tried
Angie Jones: it with the
Angie Jones: rest of the agents.
Angie Jones: I don’t know if it
Angie Jones: works or
Angie Jones: not,
Angie Jones: or,
Angie Jones: you
Angie Jones: know, call code is popular.
Angie Jones: you tag that
Angie Jones: onto yours for SEO value.
Jason: Yeah, know Why
Angie Jones: they do
Angie Jones: it, but it upsets me because, uh, Kenzie dos, he, he quote tweeted that in, in that
Angie Jones: my
Angie Jones: tweet
Angie Jones: and
Angie Jones: said,
Angie Jones: that’s like
Angie Jones: saying I
Angie Jones: made a website for
Angie Jones: Google
Angie Jones: Chrome.
Angie Jones: And
Angie Jones: that’s
Angie Jones: exactly
Angie Jones: what
Robbie Wagner: it, like website
Angie Jones: works
Angie Jones: on
Angie Jones: any
Angie Jones: browser.
Angie Jones: Who well, and, and this
Jason: is, this
Jason: is
Jason: the
Jason: part that
Jason: always had
Jason: me worried is because
Jason: in the
Jason: old
Jason: days,
Jason: right, there
Jason: was like internet
Jason: Explorer and Netscape, and you
Jason: would
Jason: run
Jason: into the
Jason: websites
Jason: that were like,
Jason: oh, you’re on Netscape.
Jason: You need to open
Jason: Internet
Jason: Explorer
Jason: to
Jason: see
Jason: this
Jason: one. Yeah.
Jason: Right.
Jason: And so,
Jason: That was my That’s kind of true to see the same
Angie Jones: thing
Angie Jones: happen.
Angie Jones: Okay.
Angie Jones: Well that’s
Angie Jones: kind
Angie Jones: of true.
Angie Jones: ,
Angie Jones: Like I was talking about with the spec. So if I implement tools, yes. I work in like pretty much any.
Angie Jones: these agents that adhere to the spec are called MCP clients, right? So
Angie Jones: I
Angie Jones: work with any client if I support tools.
Angie Jones: Now,
Angie Jones: there’s other features within the spec that you can add to your MCP server, but
Angie Jones: that
Angie Jones: doesn’t mean
Angie Jones: all of the agents support those yet, right?
Angie Jones: For example,
Angie Jones: MCP
Angie Jones: UI is something
Angie Jones: that’s, relatively new, is
Angie Jones: getting A lot
Angie Jones: of community,
Angie Jones: Interest in it,
Angie Jones: but
Angie Jones: it’s where
Angie Jones: you
Angie Jones: know how
Angie Jones: you’re talking to your agent and it’s just text-based. Right? And maybe they even ask you a question saying like, do you want me to do option one, option two, or option three?
Angie Jones: And you have to type
Angie Jones: that in, right?
Angie Jones: That would be
Angie Jones: better
Angie Jones: as
Angie Jones: like
Angie Jones: a radio, a
Angie Jones: set of
Angie Jones: radio button chat by something like that. Right? So something you can interact with. So that’s one of, the features that’s being proposed to the spec. And of course it’s so new that a lot of agents have not adopted that yet.
Angie Jones: So if you MCP server has that, then yeah, you might.
Angie Jones: Say this does not work with this particular agent. In fact, goose is like the only one that has implemented that. Again, because it’s open
Angie Jones: source. A community member added that,
Angie Jones: not
Angie Jones: The core team. Right.
Angie Jones: And so,
Jason: So
Jason: it’s, it’s
Jason: early
Jason: browser days. We’re,
Jason: we’re inventing things. The features are,
Jason: We
Jason: haven’t, we haven’t unified on like a a W three C for, for MCP oversight.
Angie Jones: Okay.
Jason: Well,
Jason: that’s
Jason: what I’m, oh, that’s,
Jason: kind of what
Jason: I’m asking. ‘cause like, you know, right now the browsers have the, the
Jason: sort of like
Jason: core group that’s like, these are the
Jason: features.
Jason: We’ve, we’ve as a group decided these are gonna ship and then all the browsers will, will
Jason: put an
Jason: intent
Jason: to ship. Yeah. Yeah.
Jason: And that’s the signal that like, yeah, it’s coming so you can safely use this.
Jason: Whereas other ones are like, well, only Google is gonna ship this, so, you know, safari’s not gonna
Angie Jones: this. Yeah. don’t
Angie Jones: use this in
Angie Jones: your
Jason: website
Jason: unless you’re
Jason: comfortable
Jason: with
Jason: non-standard stuff.
Angie Jones: I
Angie Jones: think we’re,
Angie Jones: we’re kind of there. I would say that it is adopted
Angie Jones: and
Angie Jones: everybody
Angie Jones: has done
Angie Jones: the whole
Angie Jones: intent to ship
Angie Jones: thing.
Jason: Okay. haven’t gotten to it
Angie Jones: yet. Right.
Angie Jones: Okay. well, no,
Angie Jones: that’s, that’s
Angie Jones: actually great to hear. Yeah. Yeah, yeah. Oh yeah.
Angie Jones: I think it’s pretty mature for, to be
Angie Jones: such
Angie Jones: a.
Angie Jones: A
Angie Jones: young model.
Angie Jones: There’s, , so
Angie Jones: much
Angie Jones: energy around
Angie Jones: it. There’s
Angie Jones: like all of these working groups and things that are like really focused on,
Angie Jones: ,
Angie Jones: On making
Angie Jones: sure
Angie Jones: that this
Angie Jones: is,
Angie Jones: a big
Angie Jones: boy standard.
Angie Jones: You know?
Jason: Is
Jason: it my question?
Robbie Wagner: Oh, it can be. Yours
Jason: Because I feel like It’s
Jason: a good
Jason: follow up
Jason: here. one of the things I was really curious about is, because you’ve wade into this space that is brand new and you’re working in, enablement, you’re running the Derel team for Goose, , you’re doing a lot of the outreach stuff. How are you building a, , educational and advocacy program around
Jason: concepts that
Jason: like didn’t exist
Jason: last month?
Jason: because, you know, like Dere, it feels like took many years to mature to the point. there
Jason: was
Jason: anything
Jason: resembling like
Jason: a
Jason: standard or a plan
Jason: that you could follow. So how have you approached this and, and how are you looking at this space and with how quickly it’s moving to build a program that is
Jason: resilient in the face of how
Jason: fast
Jason: everything
Angie Jones: You know, I get a lot of kudos
Angie Jones: about
Angie Jones: my team and how
Angie Jones: they are. Essentially teaching the masses about this brand new technology, and it goes far beyond our product, right? So we’re like teaching concepts that are applicable to our competitor, like any, product. And that’s totally fine, right? I think that’s how it should be done.
Angie Jones: but I’ve always been one to kind of work on the cutting edge and then bring everybody along with me. I feel like that.
Angie Jones: My purpose in tech. I’m pretty good at like figuring out new complex stuff and then breaking it down so that we all understand together. I shouldn’t be the only one who gets this, so we’re, we’re building.
Angie Jones: Out loud
Angie Jones: and learning
Angie Jones: together. So it’s very obvious. This is new. We’re not experts. We’re very clear about that. , And we say, but hey, I tried it out. This is what I’ve learned. This is what I learned, doesn’t work so great. And just sharing those lessons. And because, , we work in DeVere, we have. The privilege of working with this stuff day in and day out.
Angie Jones: Whereas other people who are working on like production software, engineering teams, like may not be able to dive that deep ‘cause they have other deliverables they need to meet. Right. the other part of my role is, , internally with our engineering org. And so I work with them. To, they use all sorts of tools, goose claw cursor, they use ‘em all.
Angie Jones: So I, I’m very aware of everything that’s out there and what works and what doesn’t work in real enterprise environments. Right. And so, ,
Angie Jones: my
Angie Jones: job is to
Angie Jones: help them go beyond just using like code generation, but to embed,
Angie Jones: ,
Angie Jones: AI
Angie Jones: and agents into
Angie Jones: like.
Angie Jones: Their repos into ci, into like all the things, right? And so, I see
Angie Jones: a
Angie Jones: lot,
Angie Jones: I learn a lot, , on real,
Angie Jones: production, software development.
Angie Jones: And so I feel it’s my duty
Angie Jones: to
Angie Jones: like
Angie Jones: share
Angie Jones: those
Angie Jones: lessons,
Angie Jones: ,
Angie Jones: More
Angie Jones: broadly
Angie Jones: externally.
Jason: And so
Jason: so
Jason: your
Jason: strategy
Jason: is
Jason: kind of
Jason: just
Jason: go all in on
Jason: learning in
Jason: public. Oh yeah.
Angie Jones: Go
Angie Jones: all
Angie Jones: in
Angie Jones: on learning probably. I like,
Angie Jones: I don’t know any of this and you
Angie Jones: don’t either.
Robbie Wagner: You gotta
Robbie Wagner: learn.
Robbie Wagner: I’m one for
Angie Jones: the team.
Angie Jones: here’s what I learned,
Angie Jones: kind of thing. Yeah,
Robbie Wagner: Yeah, I think that’s a great way to do it because something you’ve just learned, you’re gonna be able to explain
Robbie Wagner: better ‘cause
Robbie Wagner: that person’s
Robbie Wagner: in the same exact situation you were in a minute ago.
Robbie Wagner: Like. They wanna learn it. You just learned it.
Robbie Wagner: Perfect.
Jason: And it’s, it’s
Jason: kind of the only way to get out of, , what I think the major hangup for me with a lot of the AI stuff for so long was that every
Jason: discussion, every
Jason: demo was theoretical. People
Jason: were just telling me
Jason: what they
Jason: thought it would do or, or what they
Jason: think it could
Jason: solve. And I was like.
Jason: Build it.
Jason: Show me, like, show me anything.
Jason: Like, I don’t, I don’t, believe you because you
Jason: keep telling
Jason: me
Jason: and
Jason: nobody’s
Jason: showing me and
Jason: it
Jason: doesn’t
Jason: seem real.
Angie Jones: I did, uh, the Dere Khan. ,
Angie Jones: So
Angie Jones: it’s funny.
Angie Jones: All my friends, Jason
Angie Jones: included.
Angie Jones: Laugh about
Angie Jones: Dere Kahan, and
Angie Jones: they’re like,
Angie Jones: what is
Angie Jones: that?
Angie Jones: Like
Angie Jones: y’all just a
Angie Jones: bunch of dere
Angie Jones: like
Angie Jones: selling
Angie Jones: your products to
Angie Jones: each other. But it’s,
Angie Jones: it’s,
Angie Jones: not
Angie Jones: that
Angie Jones: at all
Angie Jones: Dere, Kahan is very much about the craft of developer relations and like how to do these sorts of things, right?
Angie Jones: And so I did the keynote there and I talked about how Dere is now on its biggest stage yet. And I talk about like, this is a new movement where. All engineers, no matter, like what they’re doing, have like a mandate from like their CEOs that they have to learn these tools and these concepts and these software engineering patterns.
Angie Jones: and
Angie Jones: so
Angie Jones: this
Angie Jones: just goes way beyond
Angie Jones: your
Angie Jones: product or
Angie Jones: your tool.
Angie Jones: Like
Angie Jones: your,
Angie Jones: everything
Angie Jones: that you’re doing is uplifting the entire software engineering community. You know what I mean? And so,
Angie Jones: ,
Angie Jones: Y’all should
Angie Jones: check that
Angie Jones: talk out.
Angie Jones: If you have a, have some time. And
Jason: And just
Jason: to
Jason: be
Jason: clear,
Jason: I don’t
Jason: think
Jason: DeVere Con is
Jason: Devereux
Jason: selling
Jason: other
Jason: DeVere sinks. Oh, Okay.
Jason: Okay. That’s what I think
Jason: every other
Angie Jones: Oh,
Angie Jones: Oh,
Angie Jones: yes.
Robbie Wagner: You’re not
Robbie Wagner: wrong.
Robbie Wagner: Speak.
Angie Jones: Shame. Shame.
Robbie Wagner: Oh. Speaking of
Robbie Wagner: other
Robbie Wagner: conferences, you’ve been, uh, at a few and we’ll be at a few more,
Jason: one
Jason: or two.
Robbie Wagner: yeah. I wanted to get your take on like, how do we solve this problem that every single conference is like, you know, when’s a good time,
Robbie Wagner: October,
Jason: For,
Robbie Wagner: like,
Robbie Wagner: please, My, my my sleep
Jason: schedule
Jason: is
Jason: begging for
Jason: an
Jason: answer to this question.
Angie Jones: yeah.
Angie Jones: Yeah.
Angie Jones: And it’s draining. I’m on tour
Angie Jones: right now. ,
Angie Jones: I
Angie Jones: literally will
Angie Jones: not see
Angie Jones: my house
Angie Jones: in
Angie Jones: the month of October.
Angie Jones: Um, so it’s
Angie Jones: just like back to back trips. The part that gets me is, , people don’t realize like how much it goes into
Angie Jones: Speaking at a conference, like the major
Angie Jones: part, of course
Angie Jones: is like preparing my talk and
Angie Jones: all
Angie Jones: of that.
Angie Jones: But I mean, each conference is like, oh, can we jump on a call? Oh, can I see your slides? Oh, can we meet, can we do? And it’s like, I have too
Angie Jones: many
Angie Jones: conferences to
Angie Jones: do this. Like, I’m gonna
Angie Jones: show
Angie Jones: up,
Angie Jones: gonna do a
Angie Jones: great
Angie Jones: job,
Angie Jones: And
Angie Jones: then,
Angie Jones: and
Angie Jones: then
Angie Jones: let’s
Angie Jones: just call
Angie Jones: it
Angie Jones: a day. You
Angie Jones: know,
Jason: I hit my breaking point
Jason: with this because I,
Jason: I, you
Jason: and
Jason: I are on,
Jason: on tour together
Jason: here for a little while. I think we
Jason: got like
Jason: five
Jason: events
Jason: over the next few weeks that we’re gonna both be at.
Jason: I was getting those same emails and I,
Jason: kind
Jason: of
Jason: hit my breaking point
Jason: and I just
Jason: sent an
Jason: email that was like,
Jason: listen,
Jason: I’m so
Jason: flattered that you wanted me to be part of this. I’m not doing any of that. Uh. I understand if you’re uncomfortable with that, I will happily yield my
Jason: spot. but
Jason: like, I can’t. I
Jason: can’t,
Jason: I can’t
Jason: do it.
Jason: I’m
Jason: gonna
Jason: show
Jason: up. I’m gonna do
Jason: a
Jason: great
Jason: job.
Jason: I’m
Jason: gonna
Jason: bring
Jason: my
Jason: computer
Jason: and
Jason: I’m gonna
Jason: plug
Jason: it in.
Jason: And
Jason: that’s all it is gonna
Jason: be
Jason: like, I’m not
Jason: sending you slides
Jason: ahead
Jason: of time.
Jason: We’re
Jason: not
Jason: doing
Jason: a content
Jason: review.
Jason: We’re
Jason: not
Jason: doing,
Jason: I
Jason: don’t
Jason: need
Jason: a speaker
Jason: coach. Like,
Jason: I
Jason: like,
Jason: I, I
Jason: appreciate
Jason: all of these resources.
Jason: I’m
Jason: not doing it
Angie Jones: Yeah.
Angie Jones: yeah, that’s
Angie Jones: true. I mean, and right
Angie Jones: now, I mean,
Angie Jones: developer
Angie Jones: advocates
Angie Jones: Are
Angie Jones: mostly
Angie Jones: the ones that people are paying to come to this,
Angie Jones: right? Yeah.
Angie Jones: Like a lot of these
Angie Jones: conferences. They’re community driven or whatever. They
Angie Jones: don’t
Angie Jones: have the budget
Angie Jones: to like
Angie Jones: fly everybody
Angie Jones: in
Angie Jones: and pay. You know,
Angie Jones: so companies
Angie Jones: are sponsoring
Angie Jones: that,
Angie Jones: which
Angie Jones: means
Angie Jones: that
Angie Jones: those people
Angie Jones: are overbooked.
Angie Jones: right?
Angie Jones: And
Angie Jones: so
Angie Jones: they
Angie Jones: don’t, like
Angie Jones: someone
Angie Jones: asked
Angie Jones: for
Angie Jones: my
Angie Jones: slides. It’s like
Angie Jones: I
Angie Jones: got five
Angie Jones: conferences
Angie Jones: before
Angie Jones: I get to your conference.
Angie Jones: Like,
Angie Jones: I
Angie Jones: do not have,
Angie Jones: You’re,
Angie Jones: I
Jason: can’t
Jason: think your
Jason: slides will
Jason: exist
Jason: roughly 36 hours before your yeah. phenomenal,
Angie Jones: promise you that, you know?
Robbie Wagner: Yeah. Yeah. that’s tough. I do think it is helpful on the flip side, if you’re like speaking at one conference and you haven’t spoken before, you might want those resources. So I
Jason: Well, why they do it, that’s
Jason: exactly
Jason: what it is.
Jason: And I
Jason: I, think
Jason: the part
Jason: that’s,
Jason: that’s tricky
Jason: is like
Jason: if I’m running
Jason: the
Jason: event.
Jason: I
Jason: wanna
Jason: make
Jason: sure
Jason: that the speakers
Jason: are,
Jason: are ready. I
Jason: wanna make sure that that,
Jason: you know, they’re
Jason: not gonna
Jason: show
Jason: up
Jason: and do something that violates the code of conduct. If they’re
Jason: just gonna stand up
Jason: there
Jason: and like do a 30 minute ad for their company.
Jason: I want to have a talk with them beforehand. So I, I know from the, conference organizer’s perspective
Jason: why
Jason: every
Jason: single one
Jason: of those steps
Jason: exist. it is no judgment on the conference organizers themselves. and with Angie it’s like, it’s Angie’s job.
Jason: I
Jason: don’t get
Jason: paid
Jason: to speak.
Jason: Right? Like I get paid when I work on code TV stuff. So this for me is,
Jason: is because
Jason: I really like to speak
Jason: and
Jason: there’s
Jason: networking opportunities, but like,
Jason: it’s kind
Jason: of
Jason: a cost center
Jason: for
Robbie Wagner: yeah.
Jason: Like it’s
Jason: almost a marketing
Jason: expense
Jason: for me. So
Jason: if you add
Jason: six hours of
Jason: meetings,
Jason: I
Jason: just
Jason: can’t, I
Jason: can’t afford
Jason: to do it.
Jason: Right.
Robbie Wagner: they need speaker pre-check. Like if you’re on the list, you don’t have to do the meetings.
Robbie Wagner: Oh
Robbie Wagner: my God,
Robbie Wagner: that’s a great
Robbie Wagner: idea.
Angie Jones: I love that
Jason: I love
Angie Jones: idea.
Jason: a,
Jason: We
Jason: should make
Angie Jones: Yeah, yeah,
Angie Jones: yeah.
Angie Jones: yeah.
Robbie Wagner: Okay,
Robbie Wagner: I think that’s about all we had. Uh, what would you like to plug or where can people find you, et cetera?
Angie Jones: yeah,
Angie Jones: so
Angie Jones: check me out. , My website is Angie jones.tech.
Angie Jones: All my social channels are
Angie Jones: there.
Angie Jones: I hang
Angie Jones: out
Angie Jones: mostly
Angie Jones: on
Angie Jones: LinkedIn
Angie Jones: these days,
Angie Jones: ,
Angie Jones: As
Angie Jones: well
Angie Jones: as Twitter.
Angie Jones: I’m gonna call it Twitter for life.
Angie Jones: Hmm. cesspool,
Angie Jones: but
Angie Jones: hey, you
Angie Jones: know,
Angie Jones: um,
Angie Jones: I can, it, it’s my cesspool. I can I can find some good content there, but yeah,
Angie Jones: I really highly encourage if you are a software engineer right now, you are, find yourself in the boat that I’m talking about where you’re being kind of pushed to learn how to use these tools effectively.
Angie Jones: Definitely come outside of your company. There’s so many other people who
Angie Jones: are doing this.
Angie Jones: Who
Angie Jones: are learning out
Angie Jones: loud and
Angie Jones: sharing
Angie Jones: the
Angie Jones: things
Angie Jones: that
Angie Jones: they’re
Angie Jones: learning. So you wanna
Angie Jones: kind
Angie Jones: of
Angie Jones: tap into the community right
Angie Jones: now. It’s a good time to do that.
Robbie Wagner: All
Robbie Wagner: right. Uh,
Robbie Wagner: thanks for coming on Angie. Thanks everyone for listening. If you’d like to please subscribe, leave us some ratings and reviews. We appreciate it, and we will catch you next time.
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