Spec-Driven AI Development bundle 
As coding agents take on more implementation work, sound engineering judgment becomes even more valuable. This three-ebook bundle offers a connected path from articulating intent and maintaining useful specifications to risk-focused testing and evidence-based evaluation. Together, these ebooks teach you how to review agent-produced code responsibly, strengthen software delivery over time, and advance your work in agent-assisted development.
Vibe Engineering 
Vibe Engineering lays out a provider-agnostic framework that’s focused on small, easily comprehensible code increments. Fully illustrated with real-world scenarios, it explores industry use cases, from modernizing a legacy codebase to implementing Continuous AI Development. You’ll learn how to keep the benefits of speed and efficiency AI-assisted coding can deliver without sacrificing accuracy, maintainability, or trust.
Spec-Driven Development
For AI coding agents, accurately specifying your intent is the whole ballgame! Spec-Driven Development: Engineering with intent teaches you how to close the gap between what you mean and what your agents actually build. In this practical, tool-agnostic playbook, author Hari Krishnan shows you how to make your intent clear through structured specifications and then make those specs the primary control surface for your projects, rather than the code itself.This book is hands-on from the very beginning. You’ll follow a running URL shortener application that grows in ambition from chapter to chapter. As you explore the intent-first spec-driven development model, you’ll learn to adjust your process for differences in alignment, human and agentic collaboration, and evolving outcomes. As the project scales into microservices, multiple repositories, and cross-team coordination, you’ll see how intent-led development pays out with infrastructure, deployment, security, acceptance testing, and architectural governance.
Everything you’ll read and do is grounded in established software engineering fundamentals—extreme programming, legacy code refactoring, technical debt management—so you can connect new AI workflows to what you already know. You’ll see how to drive defect fixes through specifications rather than direct code edits, how to apply SDD to brownfield codebases with no existing specs, and how to construct an intent-harness that continually improves its own workflows from implementation feedback.
Hands-on exercises, including team-based collaboration through a shared GitHub repository, let you practice the workflows as they’d play out on a real engineering team. A companion code repository with full commit history lets you follow every step of the implementation rather than just seeing the finished result.
Build High Value Software Systems
It’s never been easier to generate high-quality code quickly. Most delay, waste, and fragility in software development persists because end-to-end delivery systems are burdened with unnecessary steps, complex infrastructure, and needless ceremony. Build High Value Software Systems introduces an AI-aware systems thinking approach adapted for the modern software development lifecycle, targeting the bottlenecks where high-value improvements live.In the late 1990s, the “Lean” philosophy migrated from industrial manufacturing to software development with the promise of maximizing business value while continuously eliminating process waste. Many Lean-inspired delivery systems emphasize automated testing, iterative review, and other code-centric approaches to software quality. In this book, author Leigh Griffin demonstrates how Lean thinking can shape quality, operational cost, and long-term maintainability in a workflow that includes coding agents and other modern tools. Instantly familiar concrete examples ground each concept, including pull request reviews, debugging scenarios, and CI/CD workflows that mirror real-world engineering practice.
Some bundled books and liveVideos are part of the Manning Early Access Program. You'll get all the available content now, new content as it's created, and the final product when it's ready.
