Computers and Programming

What really happens between typing a SQL query and getting a result? Build a database engine from the ground up in Rust and find out. You’ll work through storage, indexing, concurrency, recovery and query processing while turning each chapter’s code into one working system.

A Technical Engineering Reference on Decentralized, Resilient, and Autonomous Mesh Communication InfrastructureWhat happens when a network can no longer depend on centralized infrastructure?Engineering Sovereign Dark Mesh Networks examines the architecture, protocols, cryptographic foundations, routing systems, hardware and resilience strategies behind decentralized communication networks designed to operate across unreliable, disconnected, and infrastructure-constrained environments.

Bridging Mathematical Proofs and Secure, High-Performance Software and HardwareIn cryptographic engineering, functional correctness is only the beginning. A secure algorithm can still fail when its implementation leaks timing information, mishandles memory, relies on weak randomness, or operates within an inadequately protected execution environment.Advanced Cryptography: Professional Implementation Handbook is an 86-chapter technical reference for developers, security engineers, and system architects who need to understand cryptography beyond mathematical definitions and textbook examples. It examines the relationship between cryptographic design, software implementation, processor behavior, hardware security, and formal verification.

Take a real software idea from pain point → working native application → local database → testing → CI/CD → App Stores → cloud synchronization → SaaS.

An Engineering Reference for Resilient, Scalable, and Autonomous Enterprise InfrastructureEnterprise automation is no longer limited to scheduled scripts and isolated administrative tasks. Reliable infrastructure requires coordinated systems that can detect failures, manage changing state, enforce security policies, and recover from operational problems with minimal manual intervention. Advanced Automation: 50-Chapter Master Script Package is a 50-chapter technical reference for DevOps engineers, Site Reliability Engineers (SREs), cloud architects, and platform engineers.

Cloud GPU rental costs more than compute time. It can also introduce recurring expenses, external dependencies, and additional questions about where your prompts, datasets, and model artifacts are processed. A local machine learning workstation gives you direct control over the hardware, software stack, and data workflows. The Local AI Stack is a technical engineering reference for building a Windows-based machine learning workstation with Linux environments, NVIDIA GPU acceleration, and virtualization. Across 140 pages, it follows the stack from firmware configuration and Windows virtualization features to CUDA-enabled containers, model inference, storage optimization, and system recovery.

An Advanced Engineering Reference for GPU Architecture, Low-Level Optimization, and High-Performance ComputingModern GPU programming requires more than exposing parallel work to thousands of threads. It demands an understanding of the relationship between hardware architecture, instruction execution, memory movement, synchronization, and the software systems that coordinate computation across multiple GPUs. Mastering NVIDIA CUDA: Expert GPU Programming is a 100-chapter technical reference for experienced developers, high-performance computing engineers, researchers, and AI systems architects.

The Quantization Black Book The definitive engineering reference for 4-bit quantization of large language models — from 70B all the way to 400B parameters. Written for the people who actually have to fold these models onto real hardware and keep them fast, accurate, and deployable. This is not an overview. It is a deep technical field manual covering the full quantization stack: the math, the algorithms, the hardware setup, the calibration process, the runtime kernels, and the memory tricks that make the difference between a model that runs and a model that doesn't.

The Solana MEV Playbook: Building High-Frequency Arbitrage and MEV Bots in Rust Solana moves in milliseconds. MEV moves in microseconds. If your bot is slow, someone else eats your trade. This is the technical playbook for engineers who want to build production-grade MEV and arbitrage infrastructure on Solana — in Rust, from the ground up, with real code and real architecture.

Building a model that performs well on technical reasoning tasks requires more than scaling up training data. It requires deliberate control over problem difficulty, data quality, feedback signals, verification, and the progression from foundational skills to complex multi-step tasks.Advancing Technical AI via Curriculum Reasoning is a 119-page engineering blueprint for designing, training, and evaluating reasoning-focused language models. It presents a structured, 48-step workflow that connects curriculum learning with synthetic data generation, process supervision, automated verification, preference optimization, and evaluation across demanding technical domains.

Cut through the noise of modern JavaScript tooling. This hands-on guide shows how Node.js, Bun, pnpm, Vite, TypeScript, Biome, Vitest and more fit together in real production workflows. Learn what each tool solves, when to use it and how to build faster, cleaner and more reliable applications in 2026.

Installing safety hooks for Claude Code takes about thirty seconds. Proving they actually refuse anything is the step almost everyone skips — and an unverified guard looks exactly like a working one. Free: the pre-flight checklist, which event can refuse a tool call and which only watches, how to make a guard fire on purpose, what a broken hook does, and a catalogue of all 916 example hooks in cc-safe-setup.

AI is basically a very well-optimized math system pretending to sound like a person. That's it. That's the whole secret.This book explains exactly how, no math, no code, no jargon. Just a straight conversation about what's actually happening inside the machine everyone won't stop talking about.

Master Swift from the ground up and learn how to write clean, modern code with confidence. From core language fundamentals to concurrency, generics, protocols and production-ready architecture, this practical guide covers the Swift features that matter in 2026 with clear explanations and useful examples.