Ebook details

Claude Code can generate code quickly, but professional development demands more than accepting the first answer. You need a workflow for planning, testing, reviewing, constraining, and shipping AI-assisted changes with confidence.
Claude Code Projects teaches that workflow through 11 hands-on projects built around one repeatable loop: plan, implement, test, review, commit. You’ll start with effective prompting and CLAUDE.md project context, then build and compare API implementations, generate persistent tests, debug AI-written code, and use Git as a safety net for every change.
As the projects progress, you’ll turn wireframes into working interfaces, refactor legacy code without changing behavior, and package repeatable workflows as Claude Code Skills. You’ll extend Claude Code with hooks, MCP, subagents, worktrees, and plugins while applying least-privilege access and safe automation.
Finally, you’ll assess AI-built software for production readiness using evidence, guardrails, rollback thinking, and decisive go/no-go criteria. A capstone brings the full workflow together as you build a new API from scratch, test it, review it, assess readiness, and ship it through a pull request.