APIs

El código cambia constantemente, pero tus contratos no. Aprende a construir APIs en Micronaut donde la especificación OpenAPI manda y el compilador garantiza que tu código nunca mienta.

Documentation format explains 10 to 127 times more variance in AI-generated code than model choice. We ran 21,462 tests to prove it. This book shows you which formats work, which ones break, and why the industry standard is the worst option for AI consumption.

Imagine writing production-grade code with fewer errors, sprint reviews that highlight real insights instead of guesses, and teams that spend less time debugging and more time innovating. This isn’t science fiction, it’s the future of software engineering. AI-Augmented Software Engineering unlocks the practical power of AI tools while grounding you in ethical best practices. Discover how to automate the mundane, amplify your creativity, and shape intelligent systems that serve users all without sacrificing trust, quality, or integrity.Welcome to the next wave of engineering designed with intelligence, driven by values.

Whether you’re exposing APIs to partners, building microservices, or connecting legacy systems, API Gateways sit at the heart of your infrastructure. This book takes you step by step through architecture, security, traffic control, OpenAPI validation, and real-world deployment. With vendor-neutral guidance and practical examples using the open-source Membrane API Gateway, it’s a hands-on resource for API developers, architects, and platform teams.

Are you a beginner or an intermediate learner who has been struggling through the maze of OOP and Design Patterns concepts of PHP and you also want to learn the cool new features of PHP 7?Then this book is for you.

You know Java. The hard part is the @Transactional method that quietly opens no transaction, the list endpoint that issues a thousand queries, and the service field two threads corrupt under load — failures that produce no compiler error, no stack trace, and no failing test. This is a field manual about those failures and the skills that surround them: reading a codebase you did not write, changing it safely, and diagnosing it when it breaks.

Vectors, embeddings, retrieval, agents, and evaluation are all built from first principles inside the chapter that needs them. No mathematics. No machine learning background. No prior AI experience and no framework knowledge is required. We build with plain Python and small, single-purpose libraries.  

JavaScript ve Node.js öğrenmek isteyenler için başlangıçtan profesyonel seviyeye uzanan kapsamlı bir rehber. 1300+ sayfalık bu eser; modern JavaScript, Node.js, REST API, OOP, asenkron programlama, veritabanları, Clean Code, SOLID prensipleri, yazılım mimarisi ve gerçek dünya projeleriyle yalnızca kod yazmayı değil, yazılım mühendisi gibi düşünmeyi öğretir.

Master modern JavaScript and Node.js from absolute beginner to professional with 1,100+ pages of practical explanations, real-world examples, exercises, projects, and career guidance.

Master Kong API Gateway with a practical guide that takes you from core architecture to advanced AI-powered API management. Learn to build secure, scalable platforms with production-ready examples, explore Kubernetes, decK and Terraform workflows, and discover how Kong AI Gateway enables intelligent LLM routing, semantic caching, guardrails and cost optimization across modern AI applications.

Apache APISIX is redefining what an API gateway can do in the age of AI. This hands-on guide takes you from the fundamentals to production-ready deployments, showing you how to build secure, scalable, and intelligent gateways for APIs, microservices and AI applications. With practical examples, you will gain the skills to confidently deploy, manage and optimize modern API infrastructure.

Designing AI is only half the journey. Learn how to deploy, secure, govern, monitor, and scale Enterprise AI systems for production with practical architectures and proven operational strategies.

From clicking Send in Postman to API suites running in CI — REST, GraphQL, and gRPC, with the HTTP fundamentals that make it all make sense.

It's a practical book. We're going to build something real together, a University API, and we're going to grow it chapter by chapter until it looks like a system you'd be proud to deploy. We'll start with a few endpoints, give it databases, make it concurrent, lock it down with authentication, wrap it in containers, and finally split it into cooperating services that talk over the network.

Every web application has security headers, cookies, TLS configurations, and CORS policies that need to be correct. Most teams find out they're wrong only after a penetration test — or worse, after an incident. This book shows you how to build a scanner that catches these issues automatically. You'll create a Python CLI tool that uses Hurl (declarative HTTP testing) to assert security properties, SSLyze to validate TLS protocol versions, and AI to generate specific remediation for every failure it finds. The output: structured JSON reports, visual HTML dashboards, and AI-generated security posture assessments. **What you'll build:** - 9 declarative Hurl security test files (headers, cookies, CORS, HSTS, CSP, CSRF, redirects, TLS) - A preprocessor that handles domain substitution and authentication - An output parser with built-in remediation guidance for every test - A TLS scanner validating SSL 2.0/3.0 disabled and TLS 1.2/1.3 enabled - An AI analyzer that generates context-specific fixes using Ollama, OpenAI, or Bedrock - An HTML reporter with dark-themed visual dashboards - Docker multi-architecture deployment - CI/CD pipeline with GitHub Actions **Who this is for:** - Developers who want security checks before deploying - DevSecOps engineers building CI/CD security gates - Penetration testers who need quick baseline assessments - Security students learning web vulnerability concepts hands-on - Platform teams enforcing security standards across services Every failure includes: what was expected, what was received, why it matters, how to fix it, and a documentation link. AI adds domain-specific code examples on top.