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Back to Mental Models

Atomic Work Decomposition

Breaking complex work into smallest possible independent units that can be completed and validated without human intervention

Decision Rule

If a task cannot be completed within a single AI context window (~168k tokens) with clear pass/fail criteria, decompose it further until it can

How It Works

Large tasks create coordination overhead and unclear success metrics. Small atomic tasks enable parallel processing, clear progress tracking, and easier debugging when things go wrong.

Failure Modes

Tasks still too large leading to incomplete or incorrect implementation

Over-atomization creating excessive coordination overhead

Dependencies between atomic tasks not properly managed

Acceptance criteria still too vague to enable autonomous validation

Example Decision

Instead of task 'Build user authentication', decompose to 'Add user table with email/password columns', 'Create registration endpoint with validation', 'Add login form with error handling', 'Implement session management', 'Add password reset flow'