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Category: "Large language models"

Books

  1. SEEKER JAMES PUBLISHING | BIBLIOTHECA SEEKERISMS Vol. 1
    SEEKER JAMES PUBLISHING | BIBLIOTHECA SEEKERISMS Vol. 1
    The Production Codex Volume 1: Technical Narrative Data, Comprehensive Framework Ledger, Bleach Protocol Baseline, System Architecture, Sovereign Source Indexing
    Seeker James

    The definitive production architecture transmission from Seeker James. The semantic frequencies are locked, the structural codes are captured, and the technical metadata is anchored under ABN 52 464 760 231. This official codex spans 77 pages, stripping away mainstream corporate industry polish to reveal a tight, high-impact collection of raw technical truth.

  2. The Agentic Junior
    The Agentic Junior
    Kevin Demeulenaere

    They say AI is coming for junior developers first. This is a junior's honest case for the opposite: how driving agents well, on real legacy code, makes you level up faster instead of getting left behind. The failures are left in.

  3. ChatGPT: The Complete Guide
    ChatGPT: The Complete Guide
    From First Message to Advanced Mastery: A Practical Handbook for Everyday Use
    Steve Publications

    ChatGPT can save you time, sharpen your ideas and change the way you work, but only if you know how to use it well. This practical guide takes you from your first prompt to advanced techniques, with real-world examples for writing, research, coding, business and creativity. Learn what works, what doesn’t and how to get better results every day.

  4. GitHub Actions for Python Projects A Practical Guide to CI/CD Automation
    GitHub Actions for Python Projects A Practical Guide to CI/CD Automation
    Automating Testing, Building & Deployment
    AhmedAdawy

    Master automated workflows for your Python code with GitHub Actions for Python Projects. This practical guide covers automated testing, dependency management, coverage reports, documentation builds, and artifact generation to help you build reliable CI/CD pipelines effortlessly.

  5. The Qwen 3.8 Prompting Guide
    The Qwen 3.8 Prompting Guide
    A Definitive Reference for Building Better Prompts with Alibaba's Advanced Language Model
    Steve Publications

    Unlock the full potential of Qwen 3.8 with a practical guide built for real results. Learn the techniques behind stronger prompts, avoid common mistakes, and create reliable outputs for coding, research, business, creative projects and AI agents with clear examples you can use right away.

  6. Stateless MCP Servers in Action
    Stateless MCP Servers in Action
    Designing, Building, and Operating Scalable Model Context Protocol Infrastructure
    Steve Publications

    Build MCP servers that are ready for real production. This hands on guide shows you how to design, secure, deploy and operate stateless Model Context Protocol servers that scale with confidence. Packed with practical examples and proven patterns, it gives you the skills to build reliable AI infrastructure from the ground up.

  7. Multi-Agent Failure Behaviors
    Multi-Agent Failure Behaviors
    How to recognize pathological behaviors of your agents and properly handle them to avoid hallucinations
    Luca Bianchi

    Eight agents, zero coordination, one identical error. That's not a coincidence. It's a signature. Learn to read the five families of failure behaviors in multi-agent systems, reproduce each one in TypeScript, and turn every bias into a CI assertion before it ships.

  8. JAX Programming: From Fundamentals to Large-Scale Systems
    JAX Programming: From Fundamentals to Large-Scale Systems
    A Comprehensive Guide to Accelerated Python Computing
    Steve Publications

    From your first JAX script to large-scale AI systems, this book shows how to write faster, cleaner Python for modern computing. Learn the ideas behind JAX through practical examples, real projects and clear explanations that help you build everything from scientific simulations to distributed machine learning.

  9. The Complete Guide to Building Production-Ready Model Context Protocol (MCP) Servers
    The Complete Guide to Building Production-Ready Model Context Protocol (MCP) Servers
    From First Principles to Enterprise Deployment
    Steve Publications

    Build Model Context Protocol servers that go beyond demos. This hands-on guide walks you from the fundamentals to production deployment with practical examples in Python, TypeScript, Go, Rust and Java. Learn the patterns, tools and real-world practices needed to build secure, scalable MCP servers that are ready for enterprise AI.

  10. PRINCE2+AI: The Modern Project Manager's Playbook
    PRINCE2+AI: The Modern Project Manager's Playbook
    A practitioner's guide to AI-augmented governance in high-volatility delivery
    Quantum Consult

    Reclaim your week from the Admin Tax. PRINCE2+AI: The Modern Project Manager's Playbook shows you how to delegate governance to AI, reclaim strategic judgement, and become the AI Editor. Master the workflow—or be replaced by those who do.

  11. AI-Assisted Development
    AI-Assisted Development
    Working With Coding Agents
    Yohan Rodriguez

    A working engineer's guide to building and maintaining production software with autonomous terminal coding agents (410 manuscript pages).

  12. Failure-First AI Agents
    Failure-First AI Agents
    A Practical Field Guide to Evaluating RAG, Tool Use, Memory, and Multi-Agent Systems
    storymaker

    A hands-on, failure-first guide to evaluating LLM agents, RAG, tool use, grounding, and production release gates—with executable Python examples and tests.

  13. Engineering Software for AI Coding Agents
    Engineering Software for AI Coding Agents
    A Practical Guide to Building AI-Native Codebases That Scale
    Steve Publications

    AI coding agents can write code fast, but they need codebases built for collaboration. This book shows experienced engineers how to design, test and maintain software that works seamlessly with tools like Copilot, Cursor and Claude Code. Practical patterns, real projects and proven workflows help you build systems that scale with AI.

  14. Graph Engineering for AI Agents
    Graph Engineering for AI Agents
    Building Reliable, Scalable Agent Systems with Computational Graphs
    Steve Publications

    AI agents become truly powerful when they can reason, adapt and recover instead of following a fixed sequence of steps. This book shows you how to design intelligent agent systems with computational graphs, giving you the tools to build scalable, reliable applications that can handle real-world complexity with confidence.

  15. What Your AI Cannot Prove
    What Your AI Cannot Prove
    Governing AI in Regulated Industries
    KnowlytiX

    Your pilot went well. That was never the question. In a regulated industry, an AI system is acceptable only when it can prove what it did: which source it used, what stopped it acting, why it decided as it did eleven months ago. A field guide for the executives who have to sign.