Books

Personally, I think that the Assembly system of conditional jumps makes a lot of sense. Other programming languages such as BASIC and C have "goto" statements that work like this. For example, `if(eax<ebx){goto less;}`. Modern programming languages tend to discourage the use of goto or not allow it at all. However, these languages still use jumps I have described in this section because it is required by the hardware. Both "if" and "while" statements are written by using the conditional jump statements most relevant to what you are trying to do. The only thing I have found difficult about jumps in assembly is remembering which acronym means which condition. However, since I created the chart in this chapter, now I can refer to it, and you can too! As long as I keep these six main types of conditions in my head and am working with unsigned numbers, I can write almost any assembly program from scratch.

Stop maintaining CLAUDE.md and AGENTS.md as two files that drift apart. This handbook documents which file each of nine tools reads — checked on 2026-06-02 against each tool's official docs — and ranks six ways to keep one instruction file in sync, from an @AGENTS.md import to a symlink to a CI drift check. It is also precise about where official support still is not: issue #6235 was closed as completed, but the official CHANGELOG does not mention AGENTS.md anywhere, and on v2.1.246 AGENTS.md is still not loaded into the model's context the way CLAUDE.md is.

Between March and April 2026, Claude Code subscribers lived through six weeks of stacked regressions: cache TTL shortened from sixty minutes to five, a tokenizer that charged 1.35 to 1.46 times more for the same prompts, Pro access that briefly disappeared, and a third-party tool ban. This playbook turns that window into a decision instead of a guess: five measurable triggers, three paths — stay and fortify, switch, or build your own stack — and a decision tree that returns one specific recommendation, with a 30-day cost projection for each path. Edition 2 is 251 pages: ten chapters, six path supplements and four appendices, reconstructed from public GitHub issues, Hacker News threads, and independent measurement posts.

Once the five essential hooks are in place, the incidents that keep happening are the guards themselves failing, silently. Nine chapters collect the hooks (Git, credentials, token spikes, autonomous operation, multi-agent work), a chapter on hooks that do not fire, eight dated incidents from the author's own unattended operation, and a 50-point audit you can run against your own setup.

Build four real mobile apps from scratch — no coding experience required. Claude Code handles the code. You handle the idea.

Most iOS interview books teach you the answer. This one shows you what a senior sounds like giving it: three versions of every answer, candidate, senior, and staff, side by side, so you can see the gap between correct and hired. 178 questions across six career levels, each with the follow-up that decides it and the red flag that ends the loop.

Coder ne suffit plus. N'importe quel LLM peut générer du code. Pour vingt dollars par mois.Ce qui change tout, c'est d'avoir une **méthode**. Sans méthode, l'IA te produit du code.Avec une méthode, elle te produit le logiciel dont tu as besoin. --- Le vibe coding a un problème Les deux premières semaines sont magiques. Chaque session produit duvrai code. Le projet grandit vite. Troisième semaine : tu corriges un module, quelque chose casse ailleurs.Quatrième semaine : l'agent ne se souvient plus des décisions prises.Cinquième semaine : ce qui prenait une heure en prend maintenant trois. Ce n'est pas un bug. C'est l'absence d'artefact de référence partagé. --- La solution : la spec comme artefact primaire **Spec-Driven Development (SDD)** inverse l'ordre habituel. Le code ne sert plus de source de vérité. La spec l'est.Le code implémente la spec. Les tests vérifient la spec.Et quand quelque chose dérape, tu mets d'abord à jour la spec. Un `.md`. Versionné avec git. Toujours à jour. C'est tout. --- Ce que tu vas apprendre - Pourquoi le vibe coding se dégrade et les 3 symptômes universels- Ce qu'est réellement le SDD (et ce qu'il n'est pas)- Les 7 phases du développement sérieux avec l'IA- Comment écrire un PRD en ~500 mots qui guide tout le reste- Comment transformer un PRD en issues GitHub actionnables- La boucle d'exécution : spec → agent → révision → itération- Les outils : GitHub SpecKit, OpenSpec, et les flux agnostiques- Les antipatterns les plus coûteux et comment les éviter- SDD en équipe, en greenfield et en brownfield- 3 cas complets : webhook, notifications, API publique --- Ce livre est fait pour toi si… - Tu utilises déjà l'IA pour coder mais les projets deviennent ingérables- Tu veux livrer plus vite sans perdre le contrôle de l'architecture- Tu travailles seul ou en équipe et tu cherches un cadre reproductible- Tu veux comprendre la méthode, pas juste copier des prompts

Go from an empty cluster to a self-deploying GitOps pipeline, doing every step yourself: Applications, sync policy, hooks, RBAC, Helm, ApplicationSets, and a setup that ships every branch on push. You finish with a pipeline you can explain line by line, not a demo you watched run.

Why learn one programming language when you can understand three at once? This book introduces the foundations of programming through a powerful side-by-side comparison of Python, Java, and C#, enabling readers to build strong conceptual understanding, transferable coding skills, and a solid pathway toward modern software engineering.

The tech job market changed. Entry-level dropped 73%, AI screens resumes, interviews test system design. This is the no-BS guide: portfolio, resume, LinkedIn, interviews, negotiation, and your first 90 days. Written by someone who hires engineers.

From Technical Person to Leader: The Technical Professional's Guide to Becoming a Security Manager

Most developers lose an hour a day to Claude Code without knowing why. The output looks wrong. A convention gets ignored. You press Yes 20 times and it still doesn't finish. It's not the tool. Nobody told you how it actually works. I built production agentic systems with Claude Code and wrote down everything I learned the hard way. Building with Claude Code: The Agentic Development Handbook 16 chapters. 6 failure modes. One complete real session from empty directory to working agent. Not documentation. Not a tutorial. The book you want after your first week.    

With the advent of LLMs and AI coding assistants, we are generating code at an ever-accelerating rate. How do we manage this influx of code without getting fatigued and overwhelmed? How do we ensure coding standards are maintained? What practices and tools can we put in place to amplify our efforts while not introducing more bugs?

6.1 Knowledge-Based Benefits • Students will understand the fundamentals of computer science including architecture, number systems, and data representation. • They will learn the core concepts of programming languages and how they work. • They will acquire problem-solving skills using algorithms, pseudocode, and flowcharts. • They will gain knowledge of object-oriented programming, data structures, and file handling, which form the backbone of computer science. 6.2 Skill-Based Benefits • Ability to write, compile, and debug programs in a structured way. • Development of logical and analytical thinking skills. • Hands-on experience with coding exercises, lab sessions, and projects. • Skills in handling data, designing programs, and solving practical problems. • Ability to design small software applications using modular programming. 6.3 Career-Based Benefits • Students preparing for university exams, competitive exams (like UGC NET, GATE, or coding tests) will find this book extremely useful. • Beginners aspiring to become software developers, web developers, or data analysts will get their first foundation here. • Non-technical students will develop digital literacy, making them more employable in all sectors. • For those aiming to pursue advanced studies in computer science, this book acts as a stepping stone toward data science, AI, and machine learning. 7. How to Use This Book Effectively 1. Start with the theory sections to understand the concepts. 2. Work through the examples and illustrations provided in each chapter. 3. Solve the end-of-chapter exercises to reinforce your understanding. 4. Try to implement the coding examples on your computer using an IDE or programming environment. 5. Progress toward mini-projects that challenge your creativity. This active-learning approach ensures students move from passive reading to active programming practice. 8. Future Scope After Studying This Book Once students complete this book, they will be ready to explore advanced areas such as: • Data Science and Analytics – Using programming to analyze large datasets. vii | P a g e • Artificial Intelligence and Machine Learning – Writing algorithms that learn and make decisions. • Web Development – Creating interactive websites using HTML, CSS, JavaScript, and backend programming. • Cybersecurity – Understanding how to protect systems from attacks. • Mobile App Development – Designing apps for Android or iOS. • Cloud Computing – Learning how modern software runs on distributed systems. Thus, the book serves as a foundation for a lifelong journey in computer science.