dispatching-parallel-agents

Dispatching independent debugging tasks to isolated agents requires defining each unrelated failure as a separate problem and executing them sequentially with a structured prompt-review workflow to prevent context bleed. Each agent operates in its own isolated context without shared state.

Handling multiple unrelated module failures is best achieved by delegating each subsystem investigation to an isolated agent, enforcing sequential execution with concurrency set to one to avoid contention, and reviewing results after each completion.

Isolated agents for parallel problem solving should be used when you have three or more unrelated failures or subsystems that can be investigated independently without shared state, preventing cross-domain context bleed during the debugging process.

Structuring prompts for sequentially dispatched agents involves defining each independent problem as a separate task, dispatching them one at a time with concurrency equal to one, and conducting a post-run review to validate results after each agent completes.

Context bleed happens when investigating multiple failures together because unrelated problems share the same agent context, causing cross-domain interference; dispatching isolated agents sequentially prevents this by keeping each problem space entirely separate.

Dispatching independent agents should not be used when failures are related or share state across modules, as these scenarios benefit from a single, unified investigation rather than isolated sequential execution.