Agentic Software Engineering with Specs
Build Reliable Applications with AI Agents, Acceptance Criteria, Test-Driven Workflows, Code Review, and Production Standards
AI coding tools can produce code fast, but fast code is not always reliable, secure, maintainable, or ready for production.
Are your AI agents touching the wrong files, adding unnecessary complexity, skipping tests, or solving a slightly different problem than the one you asked for? Prompt-only development can feel powerful at first, then quickly turn into rework, messy pull requests, and risky code changes.
Solution
Agentic Software Engineering with Specs gives developers, founders, engineering leads, and software teams a practical system for controlling AI-assisted development with clear specifications, acceptance criteria, test-driven workflows, code review, and production standards.
Instead of relying on vague prompts, this book teaches a repeatable workflow: spec, plan, build, test, review. You will learn how to turn feature ideas into executable specs, break work into small agent-ready tasks, guide AI tools through safer implementation, connect acceptance criteria to tests, review diffs, protect critical code, and prepare pull requests with confidence.
Inside, you will find practical templates, workflow patterns, checklists, project rules, test strategies, GitHub issue and pull request structures, CI guidance, and working code examples included directly in the book.
Proof
This book is for software developers, technical founders, engineering managers, and teams using tools such as Claude Code, GitHub Copilot, Cursor, Kiro, ChatGPT, or other coding assistants.
Use it to build a disciplined AI development process where the human defines the goal, the spec controls the work, tests prove the behavior, and review protects the codebase.
