Nut: Okay, so I was reading this article, and it just hits you right away: 'Issue tracking is dead.' Like, just gone.
Mei-ling: Dead? For software? I mean, how can that be? People still have problems they want fixed, no?
Nut: Right? That's what I thought! But it's this piece from Linear, the company that makes issue tracking software, and they're saying the old way, this 'handoff model,' it's... I guess... just totally obsolete now.
Mei-ling: Handoff model? What even is that?
Nut: So, it's like, the traditional way: a project manager writes a ticket, describes the bug or feature, then just... 'hands it off' to an engineer who codes it.
Mei-ling: Okay. Classic.
Nut: Yeah. But then there's, like, a lot of back-and-forth, you know? A lot of what they call 'ceremony' around it.
Mei-ling: Ceremony?
Nut: Prioritization. Negotiation. All that.
Mei-ling: Sounds like a lot.
Nut: It is.
Mei-ling: Definitely.
Mei-ling: But that ceremony... I mean, it feels important, doesn't it? Like, it's how people communicate. How else do you do that?
Nut: Yeah, but Linear argues that it's because engineering time was scarce. You needed to route work carefully. But now, with AI agents, they say that changes everything. It's not about handoffs anymore, it's about... 'context'.
Mei-ling: Context? How does that even work? The AI just... reads all the context and then builds the feature itself?
Nut: That's the idea! It absorbs all the customer feedback, internal discussions—
Mei-ling: Okay.
Nut: —design specs, strategic direction, decisions, existing code... all of it.
Mei-ling: So, like, everything.
Nut: Everything. And then the agent, or agents, turn that 'context' into execution.
Mei-ling: Hmm. So the agent acts like a developer, and maybe a project manager too?
Nut: Pretty much. The article says planning, implementation, even code review, they all start to compress because agents handle more of the procedural work. Humans, they say, can spend more time on 'intent, judgment, and taste'.
Mei-ling: Intent, judgment... that sounds very high-level. But what about all the actual details?
Nut: That's what the agents are for. They become useful through all that context you feed them. And get this: in their own data, agents completed something like... five times more work in the last three months, and wrote almost 25% of new issues.
Mei-ling: Whoa, five times more? That's... (beat) a lot.
Mei-ling: Twenty-five percent? Or was it more like a quarter? Either way, that is a lot. You know what, actually, I tried something like this recently. Not Linear, but GitHub Copilot Workspace.
Nut: Oh yeah? Is that the one where you just kinda... write a little prompt?
Mei-ling: No, no, no! More than that! You give it an idea for a small API, and it spun up a whole project in minutes. It looked so good, like... all the files were there, everything was structured.
Nut: So, like, it just... worked perfectly?
Mei-ling: (beat) Well, no. (laughing) Not at all. It used this really old authentication library, `passport-local`, which just... wasn't compatible with the latest Node.js version. It was a 'done' project that was completely broken. I spent an hour debugging it, just to get back to zero.
Nut: So it was fast and shiny, but actually useless.
Mei-ling: Yeah, exactly! It... it understood the task, I guess. The words. But not, like, the context of... of modern development best practices. You know? It didn't get the spirit of what I wanted. Just the surface stuff.
Nut: That's... that's actually really important. Because this article is saying it's freeing us from drudgery, right? Like, more creative freedom for humans. Less time in Jira.
Mei-ling: Yes, but for me, that 'ceremony' of writing tickets, clarifying requirements, having those conversations... that forces clarity. It makes you think.
Nut: It forces clarity.
Mei-ling: Right? So who is responsible then when the agent misunderstands the intent and creates a catastrophic bug? The person who wrote the 'intent'? The engineer who approved the agent's work?
Nut: I mean, we have bugs now, right? Maybe it's just a different kind of bug, less human error, more... agent error.
Mei-ling: But a bug from misunderstanding intent feels more... it's not like a syntax error, is it? It's deeper. A deep conceptual mismatch.
Nut: Still, if it means I don't have to spend half my week in update meetings, or filling out forms for every little thing, that's a win for me. That's time I can spend designing new features, or actually talking to users, not just... you know, like... it's like trying to move water with a sieve. No, that's not right. It's like... it's just managing the process, you know what I mean?
Mei-ling: I see the appeal, yes. But I also feel like that bureaucratic drudgery, as you call it, it creates a paper trail, an audit log. It forces accountability. If you just feed an agent 'context,' and it goes off and does something wrong, how do you even track what happened?
Nut: The article suggests the system understands intent, routes work, escalates when needed. Like, it handles all that within itself.
Mei-ling: But does it truly understand? Or does it just give the appearance of understanding, like my Copilot Workspace project? And then what? Who checks the work?
Nut: I think the idea is the humans are there for the high-level judgment. They review the output— not the individual steps.
Mei-ling: Just the output?
Nut: Yeah.
Mei-ling: Really?
Nut: That's the idea.
Mei-ling: That's a big shift, though. It feels like... a lot of trust. Blind trust, almost. So, this article is from Linear, right? The company that makes issue tracking software.
Nut: Yeah, that's what I said at the beginning.
Mei-ling: So, is this a genuine prediction about the future of software development? Or... is it just, like, a really brilliant marketing move? To rebrand their own product, you know? To say, 'We are still relevant in the AI era,' before they get disrupted themselves?
Nut: That's... that's actually a really good point. Like, if issue tracking is dead, why are you still selling me an issue tracker? Hmm.
Mei-ling: I'm Mei-ling.
Nut: And I'm Nut.