[paustint]

I recently listened to this episode from the Claude Code creator (here is the video version: https://www.youtube.com/watch?v=PQU9o_5rHC4) and it sounded like their development process was somewhat similar - he said something like their entire codebase has 100% churn every 6 months. But I would assume they have a more professional software delivery process.

I would (incorrectly) assume that a product like this would be heavily tested via AI - why not? AI should be writing all the code, so why would the humans not invest in and require extreme levels of testing since AI is really good at that?

[causal]

I've gotta say, it shows. Claude Code has a lot of stupid regressions on a regular basis, shit that the most basic test harness should catch.

[mattmanser]

I feel like our industry goes through these phases where there's an obvious thought leader that everyone's copying because they are revolutionary.

Like Rails/DHH was one phase, Git/GitHub another.

And right now it's kinda Claude Code. But they're so obviously really bad at development that it feels like a MLM scam.

I'm just describing the feeling I'm getting, perhaps badly. I use Claude, I recommended Claude for the company I worked at. But by god they're bloody awful at development.

It feels like the point where someone else steps in with a rock solid, dependable, competitor and then everyone forgets Claude Code ever existed.

[causal]

I use Claude Code because Anthropic requires me to in order to get the generous subscription tokens. But better tools exist. If I was allowed to use Cursor with my Claude sub I would in a heartbeat.

[brabel]

There are plenty of competitors! I’ve been using Copilot, RovoCLI, Gemni, and there’s OpenAI thing.

[mattmanser]

This aren't competitors, they're clones, it's a different thing.

CC leads and they follow.

[logicprog]

I mean, I'm slowly trying to learn lightweight formal methods (i.e. what stuff like Alloy or Quint do), behavior driven development, more advanced testing systems for UIs, red-green TDD, etc, which I never bothered to learn as much before, precisely because they can handle the boilerplate aspects of these things, so I can focus on specifying the core features or properties I need for the system, or thinking through the behavior, information flow, and architecture of the system, and it can translate that into machine-verifiable stuff, so that my code is more reliable! I'm very early on that path, though. It's hard!

[slopinthebag]

I heard from somebody inside Anthropic that it's really two companies, one which are using AI for everything and the other which spends all their time putting out fires.