Angielski
AI has changed how software gets built. The hard part is no longer typing code. The hard part is defining the right problem, giving clear constraints, and verifying that the result is safe, correct, and maintainable. How to Build With AI: The Essential Guide is the first book in the How to Build With AI series, and it gives you the practical foundation to work with AI tools without losing quality, security, or speed. This is not hype or theory. It is a field guide for real developers who want to ship better software with modern tools and avoid the hidden traps that slow teams down.
Whether you are new to coding or a seasoned engineer, this book is designed to make you effective fast. You will learn how to choose tools, set up a reliable workflow, and build with verification at the center. You will understand when AI helps, when it hurts, and how to spot the difference before you waste hours. The approach is grounded in real research and real-world practice, with clear examples that show what good looks like and why it works. You will finish with a repeatable system for building, testing, and shipping in the AI era.
This book is built for action. It includes checklists, frameworks, and step by step strategies that you can use on your next project. It also gives you the mental models needed to stay current as tools evolve. Instead of chasing every new trend, you will learn the core skills that keep working across versions, models, and platforms. The result is a clear, practical method you can use to build with confidence.
If you want a strong foundation for modern development, this is your starting point. It is direct, practical, and focused on results. Read it once to get started fast, then keep it close as a reference every time you build with AI.
