Publisher's Synopsis
AI-Powered Vibe Coding: A Hands-On Guide to Building Production-Grade Software with GenAI, Chatbots, and Agents
Unlock the full potential of generative AI and transform your development workflow with AI-Powered Vibe Coding-the definitive, SEO-optimized guide for developers, architects, and DevOps engineers who want to ship production-grade software powered by GenAI, chatbots, and multi-agent systems.
Why This Book?
Cutting-Edge Techniques: Master prompt engineering, Retrieval-Augmented Generation (RAG), and agent orchestration patterns to build intelligent, context-aware applications.
End-to-End Workflows: From local development and CI/CD integration to Kubernetes operators and serverless deployments, learn the infrastructure-as-code and DevOps best practices that ensure reliability and scalability.
Real-World Projects: Step through two comprehensive case studies-a high-throughput e-commerce chatbot and an internal AI-driven code-review bot-complete with architecture diagrams, performance tuning, and chaos-testing recipes.
Governance & Ethics: Implement bias mitigation, PII scrubbing, audit trails, and ethical guardrails to satisfy compliance (GDPR, CCPA) and foster responsible AI adoption.
Future-Proofed: Explore advanced topics-voice, video, and brain-computer interfaces; federated and on-device GenAI; self-optimizing agents; emerging standards like the OpenAI Function Spec and Model Chain Protocol (MCP).
What You'll Learn
Foundations of Vibe Coding: Understand transformer architectures, multimodal models, and latency vs. cost trade-offs.
Core Patterns: Design prompt templates, RAG pipelines, and multi-agent workflows with Temporal, Airflow, and n8n.
Production-Ready Systems: Containerization, Kubernetes CRDs & operators, blue/green & canary deployments, and robust observability with Prometheus, OpenTelemetry, and Grafana.
Security & Compliance: Centralized secret management, automated key rotation, rate-limiting, quotas, and audit logging.
Scaling & Performance: Automate load testing (Locust), autoscaling policies, batching optimizations, and chaos engineering experiments.
Collaborative Developer Tools: Build a GitHub companion repo, CI/CD-embedded AI review bot, internal marketplaces, and shared prompt libraries to scale Vibe Coding across teams.
Who Should Read This Book?
Software Engineers looking to integrate GenAI into microservices and DevOps pipelines.
AI/ML Engineers seeking production-grade patterns for chatbots and intelligent agents.
Technical Architects responsible for designing scalable, secure, and maintainable AI systems.
DevOps & SRE professionals wanting best practices in monitoring, reliability, and chaos testing for AI workflows.
Ready to supercharge your development with AI-Powered Vibe Coding? Dive in and start building tomorrow's production-grade software today!
