Vibe Engineering (MEAP V04)

Master vibe engineering—an end-to-end process to navigate the costs, benefits, and tradeoffs of AI-augmented development.

Generating code with AI can feel effortless, but it’s only one part of software engineering. A production-grade development pipeline includes testing, validation, refactoring, optimization, and deployment. This book shows you how to go from AI-assisted coding to a AI-infused full-spectrum process author Tomasz Lelek and Artur Skowroński call vibe engineering.

In Vibe Engineering: Best practices, mistakes, and tradeoffs you’ll learn
A mental model for vibe engineering
Agentic coding best practices
Accelerating the modernization of legacy applications
AI-assisted evaluation, validation, and refactoring
How AI can be used in team setup and cross-functional work

Even when AI-generated applications seem to “just work,” they’re often hiding technical debt, lack of control, unverifiable logic, and other slow-burn bugs that can rot your codebase and hinder productivity. Vibe engineering introduces checks and guardrails tuned to identify and address the most common AI coding issues, from specification through production. Vibe engineering also shows you how LLMs, agents, and other AI-powered tools can help you test, improve, and deploy your applications more efficiently.

about the book
Vibe Engineering lays out a provider-agnostic framework that’s focused on small, easily comprehensible code increments. Fully illustrated with real-world scenarios, you’ll explore 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, and trust.