Awesome work! This is really impressive. I gave a GitHub star.

I build precision-editing tools for AI coding agents (hic-ai.com) and worked out thousands of JSON-wrangling and regex issues, so I can verify they are indeed a bit of a pain, across all possible failure modes that AI coding agents and models and harnesses can produce. Anyway, I completely agreed with everything in your article, though I would suggest however that agents need *three* things at runtime to fix a defect: great logging and a clear error response (just like you have it), but also, precision-editing tools that enable agents to make the minimal, surgical change without touching or copying any other portion of the file. These actually change not just the feedback but also the options available to the agent and capabilities in the midst of the workflow to self-heal. If Ambiance adds a kernel to buffer the LLM from the outside world, HIC Mouse adds a "kernel" or buffer between the LLM and its own environment and file system. Anyway, this is such a cool project. Please reach out if you ever add MCP support for Ambiance -- I'm happy to release a new version of Mouse that supports it. Again, great work.