parallel-agents

Debug multiple test failures concurrently by dispatching focused agents to investigate independent problems in parallel. This approach eliminates context-switching overhead and shared-state interference, allowing teams to resolve unrelated bugs across separate subsystems faster and more efficiently.

Use parallel agents for concurrency in debugging workflows when multiple independent failures, separate subsystems, or unrelated bugs appear without shared state or sequential dependencies. This approach is ideal for triaging three or more failing test files across different domains after a major refactor.

Investigate failing test files in parallel by assigning one focused agent per test file with clear goals and constraints. After agents complete their work, review summaries, check for conflicting edits, and run full-suite verification before merging changes to ensure no conflicts arise.

The best way to triage unrelated bugs across different subsystems is dispatching focused agents concurrently. Each agent receives a self-contained prompt with a clear goal and expected output to avoid drift, enabling concurrent investigations that resolve independent issues faster without shared-state interference.

Parallel agents for debugging require independent problems without shared state or sequential dependencies. If test failures have sequential dependencies, this approach is not suitable, as agents need focused, self-contained scopes to investigate bug domains concurrently without interfering with each other.

Write focused prompts for parallel agents by providing each agent a self-contained prompt with a clear goal, constraints, and expected output. This prevents drift during concurrent investigations of separate subsystems, ensuring agents stay within their assigned bug domains and produce targeted, conflict-free summaries.