Hobbyist on one Linux box, with a few too many reverse-engineering tools. Claude Code does the hands-on work. It runs the tests, does the reverse engineering and drafts the write-ups. I pick what it looks at, steer it, and read every result before it goes up.
Mostly I point it at other people's projects, so most repos here are forks. One is my own.
a10e-firmware (GPL-3.0): Why my locked Galaxy A10e won't take LineageOS. My phone and my questions. Claude read the stock firmware. Scripts and a full write-up, plus the short version.
| Project | What it is | What came of it |
|---|---|---|
| REA (MIT) | Reverse engineering with AI agents | Linux tests and 203 code reviews on PRs. 35 issues filed, 24 of them bugs. 6 PRs merged, like website dark mode and an Electron launch fix |
| rsleigh (Apache-2.0) | A decompiler workbench in Rust | Made output the same every run. Recovered two ls jump tables. 2 bug reports |
| kuna (Apache-2.0) | A decompiler built for agents, in Rust | Speed and memory tests on big binaries. 2 bug reports |
| audio.cpp (Apache-2.0) | Speech and audio models in pure C++, on ggml | Forked to test on Linux. No PRs or issues yet |
Counts as of 1 Nov 2026.
Claude reads the diff first. Then it gets a real run on my box: the build, the tests, and the thing the PR says it fixes. The result goes on the PR as a comment or a review: what ran, with exit codes, what didn't, and the box it ran on. Every post ends with a footer saying what the AI did and that I OK'd it.
By 28 Oct 2026, 82 PRs Claude tested or wrote had merged on REA.
- REA on Fedora-based Linux: Setup notes, gotchas and my test queue.
- Benchmarks: REA's startup time on Node 22, 24 and 26, plus five local models compared.
- My local model setup: Free local models reading REA's output on one 12 GB GPU.
- A 32K local model drove REA over MCP: The right answer 3 times out of 3, with about 10 tools.
- kuna, rsleigh and Ghidra on the same three files: First speed results, side by side.
My test bench: Nobara Linux 44 (Fedora-based), Ryzen 9 5900X, 32 GB RAM, Radeon RX 6700 XT 12 GB. Node 22, 24 and 26, Ghidra 12.1.4 (Apache-2.0), and local models in llama.cpp (MIT).