Coding with AI
Five books for developers and technical learners moving from environment basics into disciplined AI-assisted software work, tool-specific harnesses, and coordinated agent teams.
The coding shelf moves from orientation to execution: understand the development environment, apply software engineering discipline with AI, use Claude Code or OpenCode deliberately, and coordinate specialized agents for larger work.
A primer for AI-assisted developers who need to understand git, GitHub, Python environments, Node/npm, and terminal workflows well enough to guide the tool when something breaks.
A hands-on guide to planning, requirements, testing, review, iteration, scope control, and decision logs in an AI-assisted workflow.
The Claude Code harness edition of the software engineering workflow, with the same disciplined project thread adapted to terminal-first agentic development.
The OpenCode harness edition of the software engineering workflow, adapted for free, local, and open-model setups with explicit model rotation and capacity-conscious engineering practice.
A practical guide to coordinating specialized AI roles for complex work, including a coding team of planner, implementer, reviewer, tester, and documenter.