Build Your First AI Agent in TypeScript
A from-scratch walkthrough of the agent loop — tools, reasoning, and termination — using the Claude API and plain TypeScript. No frameworks.
Cutting-edge AI engineering, explained
Practical, code-first tutorials on agents, RAG, prompt engineering and shipping LLM apps to production. No hype — just what works.
A from-scratch walkthrough of the agent loop — tools, reasoning, and termination — using the Claude API and plain TypeScript. No frameworks.
A practical checklist for reviewing AI-written code — catching hallucinated APIs, subtle logic bugs, and security gaps before they reach production.
Five battle-tested prompting patterns — structure, examples, decomposition, self-checking, and output contracts — that hold up when real traffic hits.
A practical decision framework for when to reach for retrieval-augmented generation, when to fine-tune, and when to do neither — with the trade-offs that matter.
Core concepts every AI engineer should internalise first.
Designing, building and orchestrating autonomous LLM agents.
Retrieval-augmented generation, embeddings and vector search.
Reliable prompting patterns for real production systems.
The frameworks, SDKs and dev tools that ship AI faster.
Evals, observability, cost and reliability at scale.
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