Show HN: Plain – The full-stack Python framework designed for humans and agents
51–56 of 56 posts
Re: Show HN: Plain – The full-stack Python framework designed for humans and agents
#52First time I've seen this pattern in the "getting started" guide for a project: claude "$(curl -sSf https://plainframework.com/start.md)" https://plainframework.com/start.md Looks like that usually runs: uvx plain-start . Which runs this: https://tools.simonwillison.net/zip-wheel-explorer?package=p...
Re: Show HN: Plain – The full-stack Python framework designed for humans and agents
#53It’s vibe-coded, too. Pass.
2) Of course it's vibe coded, it's made for vibe coders.
Re: Show HN: Plain – The full-stack Python framework designed for humans and agents
#54Earlier quoted context omitted.
Yeah this is just wrong. The whole point of AI is that it can generalise to stuff outside its training set, and anyone who uses Claude on a daily basis completes tasks that have not already been completed elsewhere. These models excel at tool use. They’re using CRMs, word processors and dozens of other systems that weren’t programmable before - lots of tools have opened MCP/API/CLI interfaces for the first time speci…
That's not what I'm saying. I'm saying that if you make "Django, but different" it isn't for agents. Django, but different is not a "tool use" situation. It is a framework with a ton of conventions and libs, etc. Agents will be better able to write Django than "Django, but different". Will they work with your new libraries? Of course. They're very good at all sorts of coding tasks, and they can read docs, search the…
Re: Show HN: Plain – The full-stack Python framework designed for humans and agents
#55Re: Show HN: Plain – The full-stack Python framework designed for humans and agents
#56Great take! I think the "agents only know what's in training data" argument never made sense to me. I've watched Claude read a markdown skill file and correctly invoke a CLI it had never seen before. The thing that actually matters is whether your interface is predictable consistent verbs, typed errors, no magic. Agents are surprisingly good at learning from docs, they're just terrible at guessing. The real question…