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.
Leo entra en un equipo de inteligencia artificial y descubre que tener buenas ideas no basta para trabajar bien con otras personas. Este cómic sigue sus aciertos, errores y relaciones mientras el equipo prepara una competición. Habla de altas capacidades, hiperactividad, déficit de atención, privacidad y autoconciencia a través de una historia, con comentarios del autor que conectan las escenas con problemas reales de trabajo.
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.
Prepare your household for a 48-hour power outage with a practical guide to backup power, solar recharging, food preservation, communication, lighting, household comfort, and smart energy management. Includes practical checklists, a household load calculator, and readiness planning sheets.
Every page, toggle and link in the Windows 11 Settings app, laid out to sit beside it on screen. Real-world scenarios and tech tips for technicians and everyday users. Free to download.
The frontend interview questions you will be asked, with the answer to say in 30 seconds, the deeper answer for the follow-up, and what the interviewer is testing. Includes a full part on agents: streaming chat, tool calls, approvals, safety and cost.
What really happens when a container starts? Go beyond Docker and explore the Linux kernel mechanisms that make containers work. Using Rust, you’ll build a container runtime from scratch, learning how namespaces, cgroups and other kernel primitives fit together to create a working system you can run, test and inspect yourself.
What if your AI agents could learn from their mistakes instead of repeating them? Discover how to build systems that remember past experiences, adapt to new challenges and improve with every task. From memory architecture to practical implementation, this book shows you how to create agents that get better over time.
This book teaches you to build and run one application together. We will be creating Azure Linux node pools with Bicep, debugging nodes with tdnf, shipping slim images, securing pods with workload identity, scaling with KEDA, patching without fear, monitoring with KQL, delivering through GitOps and even training a model on a GPU.Instead of a mysterious layer beneath your containers, it becomes a platform you understand, inspect and trust.
A practical developer book on building AI agents with LangChain and LangGraph. Twenty chapters and six end-to-end projects, from your first LLM call to a shipped agent API with FastAPI and Docker. Every example in the book was run for real, and the real output is shown, so the code you read is code that works.
Building reliable AI agents takes more than connecting an LLM to a few tools. This book takes you inside the Cursor Agent SDK, showing you how to build, test and deploy agents that hold up in production. Learn the APIs, understand the architecture and turn agentic ideas into systems you can trust.
Some loves do not fit into a lifetime. An emotional novel of love, loss, healing and second chances.
When ancient rivalries are armed with the power to reshape atoms and ignite stars, the survival of the universe depends on the agonizing choices of mortal commanders. The Barrow Mahabharata is a breathtaking sci-fi epic where the ultimate weapon isn't nuclear fire, but the terrifying burden of moral responsibility.
What really makes an AI agent work? It is not just the model, but the system around it. This book takes you inside the architecture, algorithms and engineering behind AI agents, showing you how to build a complete agent harness from scratch in Python and turn it into a working system you can debug, deploy and extend.
Illustrated Notes edition of William R. Scott's public-domain The Itching Palm (Project Gutenberg #33170). Motif: Habit · Tip · Civic · Dignity. Scholarly notes by 永飞扬 (Yongfeiyang).