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Category: "Artificial Intelligence"

Books

  1. Zihniniz ile makine arasındaki köprüyü bugün kurmaya başlayın.Tasarımın geleceği artık elle çizilebilecek şeyler değil, güçlü bir şekilde hayal edilebilecek şeylerle ilgili. Zihniniz ile makine arasındaki köprüyü bugün kurmaya başlayın. İç mekan tasarımının geleceği artık elle çizilebilen şeylerle değil, güçlü bir şekilde hayal edilen şeylerle ilgili. Zihninizle makine arasındaki köprüyü bugünden kurmaya başlayın.

  2. Zihniniz ile makine arasındaki köprüyü bugün kurmaya başlayın.Tasarımın geleceği artık elle çizilebilecek şeyler değil, güçlü bir şekilde hayal edilebilecek şeylerle ilgili. Zihniniz ile makine arasındaki köprüyü bugün kurmaya başlayın. İç mekan tasarımının geleceği artık elle çizilebilen şeylerle değil, güçlü bir şekilde hayal edilen şeylerle ilgili. Zihninizle makine arasındaki köprüyü bugünden kurmaya başlayın.

  3. Die Linse des Zauberers: Lernen Sie zu denken wie KI (Deutsche Ausgabe)
    Buch Eins der „Revolutionäre"
    Edward W. Barnard and TranslateAI

    Lernen Sie, wie KI zu denken, indem Sie selbst ein funktionierendes LLM entwickeln. Praxiserprobtes Systemdenken von Cray Research angewandt auf moderne KI. Verwirklichen Sie, was andere für unmöglich halten.

  4. Agent Blueprint: Designing and Deploying Robust Multi-Agent System Architectures for Modern AI
    Design, Deploy, and Scale Intelligent Multi-Agent Networks for Real-World Applications
    Wasi

    Multi-Agent System Architecture provides a comprehensive guide to designing, deploying, and scaling distributed AI systems. Explore hierarchical, flat, and hybrid agent architectures, inter-agent communication protocols, dynamic task orchestration, and real-world applications like automated software development, enterprise workflow automation, and real-time monitoring. Ideal for engineers, researchers, and AI architects seeking production-ready insights into collaborative intelligence.

  5. The history of software engineering is a story of continuous abstraction. We moved from machine code to assembly, from assembly to compiled languages, and from monolithic applications to microservices. Each step simplified the how of computation, allowing us to focus on the what.Today, we stand at the precipice of the most profound abstraction yet: Intelligence.This book is the field guide for that transition. It’s written by someone who has been in the trenches, shipping intelligent systems across continents, from solving scale issues in Silicon Valley to architecting robust, low-bandwidth solutions in Lagos. It’s a practical, no-hype look at what works when building intelligent software.Read it, absorb it, and be prepared to transition from a code writer to an architect of intelligence.

  6. This reference volume consists of revised, edited, cross-referenced, and thematically organized articles from the Software Diagnostics and Observability Institute and the Software Diagnostics Library (former Crash Dump Analysis blog) about software diagnostics, root cause analysis, debugging, crash and hang dump analysis, and software trace and log analysis written from 15 April 2024 to 14 November 2025.

  7. Agentic Coding for beginners
    The Future of Software Development with AI Agents, Copilot, and Context-Aware Coding
    Wasi

    Agentic coding is transforming how developers write software. Instead of relying on static code completion, you now collaborate with autonomous AI agents that plan, execute, and improve with you. Agentic Coding for Beginners introduces this new era of intelligent development through practical, tool-agnostic lessons. You’ll learn to design workflows, manage context, and build multi-agent systems that handle complex tasks with precision. Using examples from ChatGPT, Copilot, VS Code, and CrewAI, the book shows how to combine automation with human judgment for better results. Written for developers who want to move beyond simple prompts, it teaches how to think in loops of planning, acting, and reflecting, the foundation of agentic systems. Whether you’re refining your coding process or exploring AI-driven workflows for the first time, this guide helps you bridge the gap between coding and cognition, preparing you for the next generation of software engineering.

  8. The AI Co-Researcher
    A Practical Guide to Accelerating Scientific Discovery and Publication
    Shahril Azwin Zainul Abidin

    Revolutionize your research workflow with AI. The AI Co-Researcher provides practical strategies for graduate students and R&D professionals to leverage advanced AI as a co-pilot in discovery, from accelerated literature reviews to drafting publication-ready manuscripts. Stop being limited by traditional timelines and start publishing faster and smarter.

  9. The AI Rescue
    Leveraging AI Agents to Drive Growth Operations
    Hameed Abdulrahaman

    THE AI RESCUE: Leveraging AI Agents to Drive Growth Operations shows how engineers and leaders can harness autonomous AI agents to scale customer acquisition, retention, and revenue. Packed with real-world insights and technical strategies, it’s a practical guide to transforming stalled growth into intelligent, data-driven momentum.

  10. What happens when software begins to think for itself? The Rise of AI-Native Software takes you on a journey through the evolution of coding, from human-written logic to AI-generated intelligence. Ayodeji Stephen Saliu reveals how artificial intelligence is transforming development workflows, redefining productivity, and birthing a new generation of “AI-native” applications that learn, adapt, and co-create with humans.Through vivid examples and frameworks, the book uncovers how developers can move beyond automation toward true cognitive collaboration. This is not a story of machines replacing engineers, but of a partnership that amplifies human potential, unleashing creativity, precision, and innovation at scale.

  11. What happens when machines stop merely assisting developers and start thinking with them?Developer Productivity and Cognitive Automation takes you inside the next evolution of software engineering: where AI becomes your co-creator, automation becomes cognitive, and productivity is measured not in lines of code, but in focus, creativity, and flow.Through vivid stories, from high-pressure fintech teams in Lagos to AI-powered engineering squads in the UK, the book unveils how the smartest organizations are redefining “developer productivity” around mental energy, collaboration, and innovation. Whether you’re a coder, team lead, or tech executive, this book shows you how to build systems that amplify human intelligence, not replace it

  12. Twin Wolves
    Balancing risk and reward to make the most of AI
    Q McCallum

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

  13. Effective Coding with AI
    Principles for Productive & Safe Agentic Programming
    Brett Chalupa

    AI agents can write code faster than you ever imagined—but they can also introduce bugs, leak secrets, and create unmaintainable messes. This book teaches you the essential principles to harness agentic editing safely and productively, transforming how you build software without losing control.

  14. Humanoid Robots with AI and Simulation
    The Complete Guide to Designing Humanoid Robotics and AI Systems
    gareth thomas

    If you want to understand humanoid robotics at its core—this book is your roadmap.

  15. The Wizard's Lens: Learn to Think Like AI
    Book One of "The Revolutionizers"
    Edward W. Barnard

    Learn to think like AI through a working LLM you build yourself. Battle-tested systems thinking from Cray Research applied to modern AI. Accomplish what others consider impossible.