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AI & Machine Learning
Prompt engineering, LLM integration, RAG pipelines, and AI-assisted development.
ai llm typescript
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LLM API Integration: Retries, Cost Controls, and Observability
A production guide to integrate LLM providers with retry safety, per-request budget guards, and end-to-end observability.
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ai engineering-culture software-engineering
AI-Assisted Code Reviews: What to Use and What to Avoid
How to use AI during code reviews without lowering technical quality: workflow, guardrails, and limits.
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ai typescript web-development
RAG with TypeScript from Scratch: Minimal Architecture that Works
Practical guide to build a lean RAG pipeline in TypeScript with ingestion, embeddings, retrieval, and evaluation.
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ai web-development developer-tools
Prompt Engineering for Developers: Practical Production Guide
A practical prompt engineering framework for software teams: context, constraints, evaluation, and versioning.
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ai developer-tools software-engineering
PRD + RULES + SKILLS + MCP: Shared Context that Makes AI Actually Useful
Practical strategy for LLM-enabled teams: shared PRDs, versioned rules, role-based skills, and MCP integration.
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