Use task modes to make AI coding agents safer
can repeat the same failed bug fix, treat tests as successful without real proof, skip the step of reproducing a problem, or run risky commands without enough guardrails. A safer workflow starts by making the agent choose a task mode before meaningful work begins, such as debug, fix, review, or test-first. Each mode has a short checklist that keeps the agent focused on the right kind of work.
The main rules are to verify changes with real checks, never make tests weaker just to pass, avoid unless the allowed scope is clear, and match the agent’s behavior to the job at hand. The workflow is aimed at intermediate users and applies to quality control, context handling, debugging, shipping, skills, and multi-agent work.
Key points
- Choose a mode before larger coding tasks: debug, fix, review, or test-first.
- Attach a short checklist to each mode so the agent does not skip basic checks.
- Require real instead of accepting unsupported claims that tests passed.
- Do not allow unless the scope is explicit.
- For , combine the task request with the expected mode and proof standard.