Google's 12-page Agentic Engineering guide lays out a 5-stage pipeline for building agent teams
blaizedsouza · x · 2026-09-19
Google released a 12-page PDF on Agentic Engineering describing a five-stage pipeline for building agents and agent teams:
- Specification: define success with tests and automated checks
- Harness: equip the agent with tools, prompts, and guardrails
- Trajectory: evaluate full workflows, not single responses
- Verification: run linters, tests, and semantic checks before accepting results
- Meta-debug: when the agent fails, fix the workflow, not the model
The core shift: stop asking "which model should I use?" and start asking "what system do we build around the model?" The guide breaks down five real Google systems and cites the Karpathy-Cherny context-engineering approach, where the same model and benchmark can score anywhere from 0.488 to 0.637 depending on context engineering alone.
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