PythonLLM orchestrationpytest

chronos /Tooling

An agent that reads a backlog, plans it, executes it under a spend cap, and is graded by something other than itself.

• 01 Designed an autonomous agent that discovers project backlogs (any tasks.md under a workspace, opt-in/exclude), plans and executes tasks under a daily cost cap and approval queue, and reports cost/tokens per day, week, and month via a status dashboard
• 02 Built a verifier-gated task loop that grounds task completion in real test runs instead of LLM self-report, backed by an append-only feedback ledger and a consecutive-verify-failure cap.
• 03 Hardened an autonomous coding agent's execute mode with a Bash command denylist and a base-branch-move guard, closing the last safety gap before unattended runs.
• 04 Diagnosed and repaired five silent merge-conflict regressions that had broken a Python package's imports and disabled 45 tests at collection, by comparing each merge commit against its parents to restore the correct code.

Interface recreated with invented data — no production screenshot is published. Private system; walkthrough and code review available on request.