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.
Everyone is hyping up how fast you can generate code with AI, but this is the first resource I’ve found that actually tackles the messy aftermath—technical debt, testing, and unverifiable logic. Even though it’s still in MEAP (only 5 chapters out), the framework Tomasz and Artur provide is already helping my team put proper guardrails on our LLM usage. Highly recommend for any tech lead or engineer trying to integrate AI without rotting their codebase.