Books

92% of developers use AI daily. Entry-level jobs dropped 73%. This isn't a story about replacement — it's about transformation. Data-driven guide with a 30-day action plan for developers who want to thrive, not just survive.

Monday morning. You typed "add multi-tenancy to the billing service" into Claude Code. Eight hours later: forty-three files touched. Half the tests yellow. You cannot explain to your tech lead what was decided, by whom, or against which constraint.The code looks fine. The intent is gone.The Clarity Forge is the antidote — a small, opinionated pipeline that forces every fuzzy idea through explicit spec, structured interrogation, and tailored artifacts before a single line of production code is written.Six stages. Six copy-paste prompts. One iron rule:The spec is the durable artifact. The code is the side effect.Pairs the frontier-grade Architect (Opus, GPT-5, Sonnet 4.6+) with a local Contractor (Gemma, Qwen). Pairs OpenSpec's directory convention with the Grill skills that surface ambiguity before it metastasises into code.A weekend read. A Monday-morning toolkit. Worked example included.Stop vibe-coding. Start clarity-trading.

Your AI prototype works. Now ship it. Most AI frameworks are built for exploration. kdeps is built for production. Define your agent in YAML, declare its dependencies, and deploy it anywhere — Docker, Kubernetes, a standalone binary, an edge device — without rewriting a line when you switch LLM providers. AI Appliances is the hands-on guide to building autonomous AI agents and multi-agent systems with kdeps: deterministic pipelines, real error handling, real deployment, and no vendor lock-in. Write YAML. Run anywhere. Own everything.

Build defensible evaluation systems for Gen AI, RAG, agents and multimodal applications using datasets, metrics, release gates, monitoring and seven interactive labs.

A leader at a company opens Slack one morning. The brief their virtual employee wrote looks normal: same headers, same prose voice, same cadence as every other brief that week. The last line ends mid-sentence. The API returned `stop_reason: "max_tokens"`. The system shipped it anyway. No exception. No log line. No retry. That bug doesn't look like the normal kind. This book is about why, and what to build instead.

Most developers lose an hour a day to Claude Code without knowing why. The output looks wrong. A convention gets ignored. You press Yes 20 times and it still doesn't finish. It's not the tool. Nobody told you how it actually works. I built production agentic systems with Claude Code and wrote down everything I learned the hard way. Building with Claude Code: The Agentic Development Handbook 16 chapters. 6 failure modes. One complete real session from empty directory to working agent. Not documentation. Not a tutorial. The book you want after your first week.    

Learn to build multi-agent AI workflows that automate your job. Master LangChain, CrewAI, and Claude to create production-grade agent crews for coding, content, customer support, and sales automation.

45% do código gerado por IA tem vulnerabilidades. Este livro cobre prompt injection, vazamento de dados, codificação segura com ferramentas de IA, hardening de servidores MCP, sandboxing de agentes e compliance OWASP LLM. 14 capítulos com demonstrações de ataque e código de defesa.

O guia definitivo do Cursor, a IDE nativa de IA usada por metade do Fortune 500. Do tab completion ao Modo Agente, do .cursorrules ao Composer — 14 capítulos cobrindo tudo que desenvolvedores precisam para dominar a IDE que pensa com você.

The definitive guide to Cursor, the AI-native IDE used by half the Fortune 500. From tab completion to Agent Mode, from .cursorrules to Composer — 14 chapters covering everything developers need to master the IDE that thinks with you.

Build real apps without writing code. A step-by-step guide to vibe coding with Cursor, Bolt.new, Replit, and v0 — from your first app to production deployment. For entrepreneurs, designers, and anyone with ideas.

With the advent of LLMs and AI coding assistants, we are generating code at an ever-accelerating rate. How do we manage this influx of code without getting fatigued and overwhelmed? How do we ensure coding standards are maintained? What practices and tools can we put in place to amplify our efforts while not introducing more bugs?

Stop building throwaway AI demos and ship something people can actually use. In this book, you’ll evolve a Python quiz engine from a clean CLI into a production-style app with structured AI output, validation, storage, PDF export, and a Django web interface. If you love practical architecture, smart automation, and turning raw model output into reliable software, this project is pure catnip.

In addition, the book includes practical frameworks such as the 50-30-20 budgeting rule enhanced with AI, monthly financial review systems, and habit-building strategies that promote long-term financial stability. Real-life case studies are included to demonstrate how different individuals—students, families, freelancers, and small business owners—can apply these concepts in their daily lives.The final sections of the book focus on future trends in AI-driven finance, including hyper-personalized financial systems, integration with blockchain technologies, and the evolving role of human financial advisors. Readers are encouraged to adopt a forward-thinking mindset and prepare for the next generation of financial management.This book is strictly educational in nature and adheres to all relevant publishing and content guidelines. It does not promise guaranteed financial success, quick wealth, or unrealistic outcomes. Instead, it provides knowledge, tools, and frameworks that empower readers to make informed financial decisions.By the end of this book, readers will gain:A clear understanding of personal finance fundamentalsPractical experience with AI-powered financial toolsConfidence in managing money without complex calculationsStructured frameworks for budgeting, saving, and investingAwareness of risks, limitations, and responsible financial behaviorAI-Powered Personal Finance 2026 is not just a book—it is a practical guide designed to help you take control of your financial future in a smart, simple, and sustainable way.

The first AI-native systems compiler that formally verifies your declared intent before producing a binary. You write what your function should do. AXON proves it — or refuses to build.