More people are building with AI. The stuck point is rarely “the model isn’t smart enough.” It’s that the workflow can’t carry a long job.
A few patterns keep showing up:
- Rules files grow until they get buried — then ignored or skipped mid-run
- On a messy multi-file project, the agent gets lost; more guidance often means more time tuning until it feels “exactly right”
- Compact / new window and the thread forgets; the context window isn’t memory — short handoffs plus files are
- Split CLAUDE.md / AGENTS.md becomes a sync tax and a split-brain across tools
I built claw-kit for that. After install you don’t learn new commands — talk to the agent like usual. It folds a workflow into everyday use:
- Load only what this step needs; don’t dump the whole project up front
- A quiet note-taker leaves a trail after each step, so a new session (or a different machine) can pick up where you left off
That’s the line: better harness for beginners.
I’ve used it for a few months. Recently I ran a job past 24 hours under claw-kit without it drifting (stronger models helped too). One surprise: project-doc cleanup used to need a heavier model and lots of prompt fiddling; with claw-kit a lighter model got more reliable, so I leave that job to it now.
To install, open your usual AI coding tool and tell the agent:
帮我安装一下 chanyuenpang/claw-kit
(Or in English: install chanyuenpang/claw-kit for me.)
Repo: https://github.com/chanyuenpang/claw-kit
— pang
Disclosure: claw-kit is an open-source project I maintain.
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