The core of modern AI engineering. Build agents from first principles.
Start this phase on GitHub
Prerequisites: Phase 11 LLM Engineering and Phase 13 Tools and Protocols.
First lesson: The Agent Loop
Two focused routes are available when you do not need the full phase:
- Agent-Assisted Engineering covers task framing, repository evidence, harnesses, isolation, verification, review, and durable feedback.
- Product Judgment and Delivery covers outcomes, workflow discovery, assumptions, slices, specifications, metrics, staged release, and feedback ownership.
Run this command from the repository root:
bash
python3 phases/14-agent-engineering/01-the-agent-loop/code/main.pyKeep the command, exit code, thought-action-observation trace, final answer, turn count, and the exact stop condition that ended the run.
Next action: Change the scripted task or turn budget, predict the effect, then continue to ReWOO and Plan-and-Execute.
Browse the full Phase 14 lesson list or the cross-phase roadmap.