SentinelForge: evidence-driven AI software repair with human-in-the-loop verification
Byte_Forge_2811 · reddit · 2026-10-26
A hackathon prototype called SentinelForge argues bug fixing shouldn't end at suggesting a patch — it should include investigation, evidence review, and post-fix verification.
- Workflow for a supported Python login-regression scenario: reproduce failure with baseline tests → collect evidence and diagnose → propose repair → require human approval → run automated tests → archive incident history and verification results.
- Optional Hindsight Cloud integration recalls relevant past incident context and retains verified outcomes.
- Stack: Python, FastAPI, React, Vite, SQLite, pytest.
- Still early: repair logic is deterministic rather than model-driven and limited to one scenario; the author is soliciting feedback from developers and DevOps folks.
More from coding & agent
- Ruff creator Charlie Marsh: frontier models find infinite bugs in any software — charliermarsh · 2026-10-26
- Dev testing one skill across Opus 5.5 and Sol 6.1 finds instruction following 'all over the map' — lucasmeijer · 2026-10-26
- Hugging Face uses small open models to reverse engineer a game binary byte-for-byte — yb2698 · 2026-10-26
- ContractSim: first framework evaluating LLM negotiation over contingent natural-language contracts — xuanalogue · 2026-10-26
- OpenAI computer-use agents near superhuman speed, say the team building them — a16z · 2026-10-26
- Qdrant ships one-CLI Chroma migration tool that copies embeddings without re-embedding — qdrant_engine · 2026-10-26