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TypeScript for AI-Era Full-Stack Development: Building Intelligent, Scalable, and Production-Ready Web Applications
Paperback
Publisher: Independently Published
Published: Oct 2 2026
Pages: 358
Weight: 1.26
Height: 0.74 Width: 6.69 Depth: 9.61
Language: English
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!
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