Books

Kod generowany przez AI kompiluje się, przechodzi testy i wygląda na gotowy. Błędy, które się liczą, kryją się w tym, czego brakuje. Praktyczna metoda przeglądu przed wdrożeniem.

Código gerado por IA compila, passa nos testes e parece pronto. Os defeitos que importam estão no que falta. Um método prático para revisar esse código antes do deploy.

Master practical system design with 62 parts covering distributed systems, scalability, databases, security, and production architecture. A comprehensive engineering handbook with real-world examples, diagrams, and decision frameworks.

Persistent memory, hooks, permissions and token cost: what worked when using Claude Code every day in a real small-business operation.

Stop relying on abstract marketing buzzwords. Master the real technical architecture, decision trees, and production-grade ABAP Cloud patterns needed to build upgrade-stable Clean Core extensions on SAP S/4HANA and SAP BTP.

Build an Obsidian second brain your AI can actually use, without making it read everything you have ever written.

Ready to move beyond AI prototypes? Learn how to build agents that reason, plan, use tools and tackle real-world tasks. From core concepts to production-ready architectures, this practical guide covers the code, design decisions and engineering challenges you need to build reliable, secure and scalable agentic systems.

Ready to build GIS applications that go beyond basic maps? This practical guide takes you from core spatial concepts to production-ready geospatial systems, with hands-on projects covering web mapping, spatial databases, real-time tracking and enterprise analytics. Learn the tools, techniques and engineering practices needed to turn geospatial ideas into reliable applications.

Vague prompts produce vague results. This book shows developers how to write clear, testable prompts for real coding tasks—explanations, functions, debugging, tests, and more—using a simple, repeatable method: state the goal, give the right context, set constraints, define the output, and verify the result.Written for beginners and working developers who want better AI-assisted work without treating model output as automatically correct.

A practical 30-day plan that turns complete beginners into confident, responsible users of AI coding assistants.Learn how to set clear goals, build a small project, debug with purpose, use Git, write better code, and present your work — all while using AI as a learning partner, not a crutch.

AI can speed up learning and coding — but only if you stay in control. This book shows new developers how to use GPT-6, Claude, and Cursor effectively: how to ask clear questions, supply useful context, review generated code, test edge cases, and avoid common mistakes such as invented APIs, insecure suggestions, and overconfident explanations. You will build practical habits for explanations, small features, tests, debugging, and documentation — while protecting private data and remaining responsible for the final result. Ideal for students, self-learners, and early-career developers who want to learn with AI, not instead of learning.

Stop getting stuck in manual regression cycles and learn to engineer zero-touch automation pipelines. In 30 days, go from Manual QA to SDET by building a production-grade test framework from scratch with Playwright, TypeScript, and GitHub Actions—complete with a live portfolio report for hiring managers.

AI-assisted code often looks finished while resting on a premise nobody checked. A practical, evidence-based method for developers, tech leads and architects to find system-level defects before they ship.

The model is one box. This book is about every other box: retries, contracts, evals, budgets, guardrails and agents for backend engineers shipping LLM features to production.

Retries, timeouts, webhooks and month-end reconciliation: the parts tutorials skip. A practical book for backend engineers who build or own payment systems, from cards to real-time rails like Pix, UPI and QRIS.