Agentic Coding

Code generation got cheap. Supervision, verification, review, and recovery got expensive — and they are now the job of a developer.

Agentic Coding: Building and Supervising Autonomous Developer Workflows is a practical, technique-based cookbook for working developers, tech leads, and beginners. It shows you, step by step, how to make AI coding agents reliable enough that your review time — not their generation time — is the constraint.

Inside you'll find:

• The mental model: what an agent actually is, why the harness matters more than the model, and the loop — explore, specify, plan, execute, verify, review, roll back — that every technique builds on.

• 19 runnable techniques in one repeatable format — Objective / Prerequisites / Steps / Verification / Troubleshooting. Scaffold a service, fix a bug in an unfamiliar repo, refactor without breaking sibling layers, debug with the agent, gate agent runs in CI.

• The nine engineering workflow patterns, a cost model for agent runs, and the supervision discipline for teams and regulated environments.

It will not tell you agents will replace engineers. It will show you how to delegate like a senior engineer — and build the checks, checkpoints, and rollback points that make delegation a net gain instead of a gamble.