agentic-engineering

To decompose software engineering tasks, break complex workflows into modular units governed by the 15-minute unit rule, ensuring clear success criteria for automated AI execution.

An eval-first loop in AI-driven engineering defines capabilities and regression checks before implementation, ensuring automated verification and risk-managed automation across multi-step software development.

Route AI engineering tasks by model tier using cost-aware routing to match task complexity and risk to tiered models like Haiku, Sonnet, and Opus, applying session strategy and cost discipline.

Yes, this approach supports architecture refactors and multi-step development by coordinating AI-driven engineering tasks using decomposition and cost-aware model routing across product teams.

The best way to orchestrate end-to-end software development with automated verification is using eval-first loops, task decomposition, and tiered model routing to manage iteration risk and cost.

You should avoid agentic engineering for workflow automation if tasks lack clear success criteria for decomposition or cannot be verified through eval-first regression checks and automated verification.