Project case study
AI Coding Agent Reliability Kit
A Linux-first verification workflow for AI-assisted software changes that adds disciplined evidence and reliability checks around coding-agent work.
Status
Released
Technology
PYTHON · GIT · LINUX · AUTOMATED VERIFICATION
Engineering focus
What this project is solving
The toolkit helps developers bound coding-agent tasks, detect out-of-scope modifications, compare regression probes against the original broken baseline, and reject tests that pass without actually proving the fix. It includes differential verification, clean replay, evidence capture, proof export and verification, package-integrity checks, deterministic packaging, evidence-based testing, and human-review handoff.
Engineering inquiry
For related engineering work, architecture, diagnostics, or technical collaboration, describe the problem and desired outcome.