TypeScript for AI-Era Full-Stack Development

Picture this: It's 2:00 AM on a Tuesday. Your newly launched AI agent just went viral. But suddenly, your error-tracking dashboard explodes.

The provider's latest unannounced model update changed its output format, breaking your database parsers. Un-sanitized user prompts are triggering costly infinite tool-calling loops, and your cloud bill is spiking through the roof. Worst of all? You have no automated tests to tell you what went wrong.

Sound like a nightmare? It happens every day to engineering teams relying on fragile wrapper libraries and demo-grade tutorials.

Building for production isn't just about sending an API request-it's about controlling chaos. I spent years architecting high-scale TypeScript systems, and I wrote this book to give you the exact operational frameworks, mathematical metrics, and production-tested code you need to sleep soundly while your AI infrastructure handles live traffic.

What's inside

• Custom LLM Client Architecture: Build resilient streaming gateways, SSE chunk decoders, and token rate-limiters from scratch.
• Type-Safe Prompt Versioning: Decouple prompts from application logic with Zod validation, SHA-256 lockfiles, and dynamic registries.
• Enterprise RAG & Vector Search: Master embedding similarity math, multi-tenant vector isolation, and hybrid retrieval.
• Multi-Agent Orchestration: Design stateful, autonomous agent loops with deterministic tool-calling and sandboxed execution environments.
• Automated Vitest Evaluations: Implement LLM-as-a-Judge rubrics, cosine distance assertions, and continuous quality gates in CI/CD.
• Maintenance & Context Drift: Monitor Population Stability Index ($PSI$) vector shift, catch provider deprecations, and prevent schema drift.
• Production Boilerplates & Security: Plug-and-play pnpm/Turborepo layouts, OWASP LLM security hardening, and KMS key rotation pipelines.

Who it's meant for

• TypeScript & Node.js Developers who want to master AI engineering without relying on heavy Python frameworks.
• Software Architects & Engineering Leads responsible for building reliable, enterprise-ready AI backends.
• Full-Stack Engineers looking to elevate hackathon prototypes into resilient products with strict SLAs and cost controls.

Stop building fragile demos that break in production. It's time to start engineering enterprise-grade AI systems that scale. Scroll up, click "Buy Now," and master the TypeScript AI stack today!