Books

Mastering Modern C++23 is a practical guide to the latest C++ standard, helping intermediate and advanced developers confidently adopt its most important language and library features. With clear explanations, production-ready examples, and real-world best practices, you'll write safer, more expressive, and high-performance C++ code.

Learn how to build reliable AI agents with PydanticAI, from simple chatbots to production-ready multi-agent systems. With practical examples, clear explanations, and hands-on projects, this book helps you write AI applications that are structured, testable, and easy to maintain.

Learn how to build, run, and optimize llama.cpp from the ground up. This book covers everything from compiling the code and working with GGUF models to deploying fast, production-ready local LLM inference.

A practical book about seeing the task more clearly, making decisions in uncertainty, and using AI without self-deception. Based on TRIZ, systems thinking, CBT, JTBD, and reality testing - without motivational fluff or promises of miracles.

What if your next exploit development workflow had an AI-powered copilot? AI-Assisted Exploit Development explores how large language models are transforming vulnerability research, reverse engineering, and offensive security. From accelerating binary analysis in IDA Pro, Ghidra, and Binary Ninja to enhancing web application testing, fuzzing, debugging, and proof-of-concept exploit creation, this hands-on guide demonstrates how security professionals can leverage AI to work faster and more effectively. Through practical examples, real-world case studies, and offensive security exercises, readers will learn where AI excels, where human expertise remains essential, and how to safely integrate AI assistance into modern exploit development pipelines.

Stop treating Android like a black box and start thinking like the engineers who build it.

Build modern Android applications with Kotlin and Jetpack using practical, real-world development techniques. Learn how professional Android developers structure projects, manage UI and state, and create scalable, production-ready apps.

World Models for AI Agents is a technical guide to building agents that can do more than react to prompts. Instead of treating memory as a loose collection of context fragments, this book presents world models as structured, evolving representations of state, time, entities, actions, and consequences.The book connects modern agent design with memory architectures, knowledge graphs, temporal reasoning, and planning. It explains why retrieval alone is not enough for long-horizon tasks, how graph-based memory can serve as an explicit world model, and why persistent agents need more than short-term context to remain coherent over time.Topics include episodic and semantic memory, temporal knowledge graphs, belief states, action-conditioned reasoning, planning under partial observability, and the path from memory continuity to agent identity.Written for AI engineers, researchers, and system architects, this book offers a practical conceptual framework for designing agents with persistent memory, better reasoning, and more reliable long-term behavior.

"It’s 3 AM, your database just hit 500 connections, and everything has ground to a halt. Do you know why?"Most database outages aren't mysterious—they are architectural. Stop treating PostgreSQL as a black box and start understanding the mechanical "why" behind the engine. PostgreSQL Internals Mastery: Volume I is a modular deep dive designed for senior engineers who need to bridge the gap between writing SQL and architecting high-performance systems. From the process-per-connection model to the groundbreaking Asynchronous I/O (AIO) features of PostgreSQL 18, learn the internals that separate database architects from administrators. Don't just tune knobs; understand the machine.

Master language models by building one yourself. This hands-on guide takes you from neural network fundamentals to implementing a complete Qwen3 model with modern techniques. Includes all code, Colab notebooks, and real training on the TinyStories dataset.

A strategic, executive-level guide to making the most of your company's AI efforts.

Build AI agents that truly remember, reason, and act—entirely on user devices. Move beyond prompt engineering to create autonomous systems with graph-based memory using SQLite and LibSQL. Learn to implement hypergraphs, metagraphs, and vector search for privacy-first AI that scales to millions of entities. From personal knowledge graphs to production mobile apps, master the three pillars of agent autonomy: tools, memory, and reasoning. Real code, working examples, battle-tested in production. The future of AI is local, private, and in your hands.

In a world where data drives success, small and medium businesses can’t afford to fall behind. Enter DAIAM — a revolutionary, AI-integrated methodology designed to make business analytics accessible, actionable, and profitable for SMEs.

"Exploitology: Web Apps Exploits" explores web app security, focusing on vulnerabilities, exploitation techniques, and defense strategies. With practical examples and real-world scenarios, this book helps readers sharpen their penetration testing skills and stay ahead in cybersecurity.