AI coding agents
20 statements across 18 episodes · 11 bullish · 4 bearish · 19 people on the record · first statement Oct 19, 2024 by Jesse Hu · across every show →
Everything said about AI coding agents, oldest first
Oct 19, 2024 bullish
Dec 13, 2024
Ramachandran: Premature end-to-end AI automation reduces agents to ignored linters
“If the agent there has to always get human involvement to keep on fixing itself, it's probably not ready to become a full end-to-end automated system, because then we're just going to turn into a linter where, like, it produces a bunch of things and no one loo…”
Apr 2, 2025 bullish
May 7, 2025 bullish
May 16, 2025 neutral
Josh Ma: Software engineering stays human-centric due to review and deployment
“As long as you see humans and AI writing it, like maybe there's a world where it's only AI's maintaining a code base and the assumptions change, but the moment you start to break that fourth wall and a human's coming in, doing code review, deploying the code, …”
May 16, 2025 positive
Josh Ma: AI agents naturally infer code style without explicit instructions
“For agents, I don't think you have really had to tell code style. It looks at your code base and just writes code that's consistent to that. Whereas like a human's not going to take its time sorry, their time to go through the code base and you know, follow al…”
Jun 3, 2025 bearish
Jul 16, 2025 negative
Jul 28, 2025 bullish
Hou: Future AI agents will anticipate developer actions dozens of steps ahead
“In the future, we'll be looking not just one to five steps in the future, but 10, 20, 30 steps into the future. It'll be writing unit tests before you've even finished defining the function. It'll be performing code-based-wide refactors on multiple files based…”
Sep 25, 2025 bullish
Slack: Asynchronous background agents will dominate AI inference and output
“That's going to be blown up with async agents when they're running 24, seven concurrently in the background, then you can have 10 or a hundred times as many, and that's going to dominate inference. That's going to dominate the output you get.”
Sep 25, 2025 negative
Ball: Coding agents should outsource typing, not engineering thinking
“The failure mode of outsourcing the thinking, but not the typing, which I think it should be the opposite. You still have to know engineering. You still have to know how to program. You still have to know your application and its architecture, how it's deploye…”
Nov 10, 2025 neutral
Nov 19, 2025 positive
Hezarkhani: Structured TypeScript architectures allow AI agents to operate autonomously for longer
“We feel pretty strongly in like high structure allows for agents to work autonomously for longer. And so our default stack is TypeScript front end TypeScript back end with a shared file where, or a shared folder where all of our shared types and schemas and th…”
Nov 22, 2025
Wagner: Reliable LLM tool calling in late 2023 unlocked functional agents
“And I would say like that tool calling, I think really only became reliable about a year ago, like last October, November, when the models that shipped were suddenly really good at calling tools. And I think that then changed everything, right? And you see tha…”
Mar 6, 2026 positive
Nelle: Video demos solve the code review bottleneck caused by autonomous agents
“We have found that in this new world where agents can end to end write much more code, reviewing the code is one of these new bottlenecks that, that crop up. And so reviewing a video is not a substitute for reviewing code, but it is an entry point that is much…”
Mar 20, 2026 positive
Singleton: Hands-on engineering managers have the ideal skill profile for AI orchestration
“It turns out being an engineering manager, as long as you stay very close to the code and are able to continue to craft it yourself, is actually a great skill profile for being able to make agents work for you and for your team in this in this age.”
Mar 30, 2026 bullish
Apr 7, 2026 bullish
Lopopolo: Coding models have largely solved all tasks except hard and new
“And I think things that are hard and new is still something that the models need humans. Yeah. Drive. Yeah. But I think those other quadrants are largely solved, given the right scaffold and the right thing that's going to drive the agent to completion.”
May 20, 2026
Cooper: Agent infra requires 1000x scale rather than new primitives
“And so like the branching and forking stuff, like it's not different. Like we're just moving a thousand times quicker than we used to. And so some of these things like look like you really need like something massively, massively different, but it's just, you …”
May 21, 2026 negative
Burazin: GitHub introduces too much overhead for AI agent inner loops
“What we saw from our customers was that they were all trying to figure out how to do versioning. Everyone is doing it in different ways. There were some really weird ways where people were doing that. And the reason was that GitHub as is Was an overhead. Like …”