Your AI agent is only as smart as what it remembers. Most developers treat knowledge representation as an afterthought -- a data structure problem, not an architecture problem. They flatten complexity into schemas that can't express relationships, deploy embeddings without grounding, and build agents that degrade under their own reasoning load. This book changes that. **TypeDB for Edge AI Agents** is a practitioner's guide to building knowledge systems that actually work at the scale and complexity your agents demand. TypeDB is built on type theory -- the same mathematics that powers formal verification and programming language safety. For agents, that means you can express constraints that prevent bugs in your knowledge layer, reason about what's possible and what's forbidden, and build memory systems that don't require constant hallucination detection. With the Rust rewrite in TypeDB 3.0, your agents can carry sophisticated knowledge graphs on-device -- no round-trip to a server, no latency, no external dependencies. This book covers everything from the PERA data model and OWL ontologies to promise graphs for multi-agent coordination, giving you the patterns to design knowledge systems that scale without becoming incoherent. Whether you're an ML engineer, AI architect, or backend developer building production agent systems, this book bridges the gap between type theory and working code. You'll learn to design knowledge graphs that don't decay, structure agent memory that doesn't degrade over time, and coordinate multi-agent systems that respect causality and distributed constraints. Stop building agents that confidently hallucinate -- start building agents that reason correctly, remember reliably, and coordinate with certainty.
Aprende a llevar Claude Code más allá de las demos: agentes que usan herramientas, respetan permisos, dejan trazas y funcionan dentro de sistemas reales de producción. Una guía práctica para diseñar, evaluar y escalar agentes sin perder control, calidad ni seguridad.
"Work in Progress" - Updated with the latest syntax, new CPAN modules and new file formats
Do you aspire to become a truly Badass Agile Coach? A coach with a mission of professionalism, craft, passion, accountability, and expertise that you need to bring to bear in service of your clients? Then Extraordinary Badass Agile Coaching will be your trusted guide to meet (and exceed) that mission.
Avete sentito parlare della Teoria dei Vincoli? Volete verificare se è un approccio che fa per voi? Questo è il libro che vi serve!
Unlock the power of HTTP/3 to transform the delivery of your web applications, and learn how QUIC's reimagining of TCP and advanced multiplexing reshape performance and security with the web's newest protocols. Essential reading and practical tips for developers and tech professionals ready to harness the future of online communication with HTTP/3.
C++ Lambda Story is a concise and practical book that reveals all aspects of one of the most powerful Modern C++ features. Learn how lambdas evolved, understand how they work and see how to use them in your code efficiently. Print Version @Amazon or @Amazon Full ColourBundle with C++17 in DetailOr with C++ Initialization Story Spanish Translation
Capable people drift into failure through accumulated lapses in attention. By the time collapse becomes visible, erosion has been active for years. Ishi is the discipline that interrupts drift before collapse forces correction.
Learn how to design embedded systems the sane way: on your Linux host, with modern C++, predictable timing, clean interfaces, and no unnecessary complexity.
Prompt engineering is dying. The future belongs to domain language engineers—developers who design structured DSLs that make AI reliable, deterministic, and scalable. This practical guide teaches you how to build the languages that shape AI-driven software. With templates, and real-world examples, you'll transform from AI user to AI architect. Stop negotiating with ChatGPT. Start engineering systems that work.
Learn how to create amazing lightweight user interfaces using Python and Textual in your terminal! You will learn the basics of Textual and then create ten different applications.
Master machine learning interpretability with this comprehensive guide to SHAP – your tool to communicating model insights and building trust in all your machine learning applications.
Understanding Docker can be difficult or time-consuming. I've created this collection of sketchnotes about Docker in order to explain the Cloud technology in a visual way.
A how-to field guide on building leak-free abstractions and algebraically designing real-world applications.
Trust Driven Development is about the profession of building successful software. about planning for change, about process, and above all, about trust. Process is what we do to make sure that everybody on a project has a shared sense of state and of goals. Trust is what happens when we match that shared state and meet those goals.