I'm officially done reading AI-generated code.
It's been two weeks since I looked at any of it.
I think the IDE is officially on its way to the graveyard. The job is no longer about "writing code," so we need new tools that better reflect this new reality.
While reviewing the
@quant_xbt I don't think this is the right take. We probably won't write code by hand anymore, same way we don't do derivatives on paper. But you can't expect people to know how to build software just from vibes. Software engineering is much more than code.
@sattyyouneed Sometimes yeah, but not with the same level of detail we used to. A good set of unit/integration tests gives me enough confidence. I mostly check for structure, and when something comes up that I don’t like, I embed that into my CLAUDE.md so it doesn’t happen again.
Introducing Prime Agent:
A self-improving RLM harness for coding and long-running autonomous tasks.
Designed to be both token-efficient and expressive through programmatic tool calling, context as a variable, multi-agent messaging, and a self-modifiable harness state.
Releasing Muse Code in beta today. It's a terminal coding agent that takes on complete software engineering tasks across large repos: planning changes, writing code, validating the results. Powered by Muse Spark 1.2, a coding-focused model update.
We spent our entire lives, and human history, under the assumption intelligence was a scarce resource. Now, everyone can summon an inexhaustible IQ machine like it's tap water. And incidentally, the change is so profound our own brains can barely comprehend it.
Omg, it’s crazy the pace at which the software development discipline is evolving. Today more than ever we have to be open to forgetting everything we know and embracing this new era.
Given some of the results I'm seeing recently, it's pretty clear Codex is a good harness.
But it will seem primitive in 2-3 months and we're about to go through another major evolution in how we use AI at the frontier. The next generation of models need more than your laptop.
Two things it buys you: you can jump into any team’s codebase and understand it instantly (everything looks the same), and any fix you make once benefits every engineer, not just your team.
A word I didn’t know until I joined my current company: canonical. The standard, accepted way of doing things. Sounds boring, but it’s one of the most underrated advantages a big eng org can have.
I really miss the joy/dopamine of completing a programming task by hand. That's been taken from us, so sad tbh. Coding by hand feels almost absurd now, but that's exactly when we hit that magic flow state of deep concentration. Managing multiple agents at once just doesn't get you there.
AI alone is cool. But mastery + creativity + AI hits on a whole different level. Don't let anyone discourage you from pursuing excellence and craft. Keep studying the blade.
Decoupling intelligence from consciousness
A concept I first saw in @harari_yuval's incredible Homo Deus book, and it feels very relevant today. These LLMs are basically intelligence without consciousness. And that's exactly what the big labs are selling.
@thepanta82 Happens to me too. And there’s a second loss on top of yours: you didn’t put in the effort, so there’s no payoff. No flow state, no satisfaction, just a strange void. So sad
Yeah, those feedback loops are the missing piece. Without a way to perceive the result, the model is coding blind, it can’t tell if it’s doing the job right. It’s stuck taking screenshots one frame at a time, reasoning about a world it can’t actually watch. Maybe not so token-efficient either.
It doesn't make FP languages strictly "better" for AI (models have seen way more Python than Clojure). But it removes a class of error that mutable code invites. In my experience with Clojure, that shows up as noticeably more reliable output.
I really think LLMs benefit more from functional languages like Clojure or Haskell than from imperative ones. I've noticed this firsthand at my job (I work with Clojure), the AI produces surprisingly solid code.
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