Executing Work in Parallel

Core Pattern

Parallel execution prevents context saturation and accelerates work through concurrent processing. Key principle: implement shared dependencies first, then launch independent agents simultaneously.

When to parallelize

• 2+ independent tasks — Different files or modules without interactions
• Research investigations — Multiple agents exploring different aspects
• Layer-based work — Database → API → Frontend stages
• Multi-file refactoring — Changes without interdependencies

When NOT to parallelize

• Single file modification — Use direct tools
• Sequential operations — Tasks building on each other
• Shared resource conflicts — Multiple agents modifying same file
• Complex interdependencies — Most tasks depend on others

Execution Framework