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Comment · 7 months ago
Comment · 7 months ago
Thanks for trying it out! Accuracy is the #1 priority every finding should be real and actionable. Glad to hear that's holding up on your project. If you do hit any false positives, please open an issue!
Comment · 7 months ago
The fields/flags state model is a nice idea, having structured values separate from boolean state is something I haven't seen in other frameworks. How does this compare to Alpine.js or htmx in practice? They're in a similar space (no build, SSR-first) but I'm curious what made you go with a new framework rather than building on top of those?
Comment · 7 months ago
It's a CLI. CLIs have man pages and cheat sheets. That's not a UX failure, that's the format. The same argument would apply to git, ripgrep, or ffmpeg.

The actual complexity in Claude Code isn't the commands, it's figuring out a workflow that works for your codebase. CLAUDE.md files, hooks, MCP servers, custom skills. Once you have that set up the daily usage is just typing what you want done.

Comment · 7 months ago
This matches my experience. The bottleneck isn't what the agent knows, it's what the agent can verify. A knowledge base tells it "don't do X", but the agent still has to remember to check. Giving it a tool that returns ground truth works better. The agent calls the tool, gets a concrete answer, acts on it. No memory required, no drift over time.
Comment · 7 months ago
This is a good point. For anything without a DOM, screenshot diffing is basically your only option. Mozilla did this for Gecko layout regression testing 20+ years ago and it was remarkably effective. The interesting part now is that you can feed those screenshots to a vision model and get semantic analysis instead of just pixel diffing.

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