LLM-Powered Debugging

Leaderboard scores hide task mismatch and contamination that doom real-world performance.

Debugging agents can be hijacked through untrusted logs and tool output.

Telling data drift from concept drift is how you fix the right problem in coding agents.

Static analysis must evolve to catch bugs agents write before humans ever see them.

AI-generated code needs layered checks, not just testing, to catch hidden bugs.

AI agents find root cause in logs and traces faster than humans ever could.

Coding agents drift across multiple layers, and catching it requires monitoring each one separately.

AI agents need direct access to the debugger, not just chat suggestions, to actually fix bugs.

Agents excel at the repeated trial-and-error work that flaky tests demand.