agentic-engineering

Task decomposition breaks complex engineering workflows into agent-sized, independent units with explicit success criteria and done conditions. This structured breakdown enables independent verification, regression checks, and early failure detection across the project lifecycle.

Eval-first routing applies an evaluation loop before execution, using explicit capability evaluations and regression checks to verify agent performance. It ensures agent-based engineering tasks meet defined success criteria and control risk before proceeding to implementation.

Cost discipline is managed by routing tasks to appropriate model tiers based on complexity. The workflow assigns simpler tasks to efficient models like Haiku, and reserves advanced models like Sonnet or Opus for complex implementation and risk management.

Structured session strategies apply to end-to-end engineering workflows by organizing agent tasks into verifiable units with clear done conditions. This approach ensures explicit capability evaluations and regression checks are satisfied throughout the workflow execution.

Risk control in agent-based engineering is best managed through task decomposition into independent units and model-tier routing. This approach pairs explicit capability evaluations with regression checks to catch failures early and maintain verifiable task boundaries.