Stop treating RAG like a toy. This guide walks you through building a production-ready Retrieval-Augmented Generation pipeline—from chunking strategies to vector search optimization and LLM integration. Real code
Build a production-ready AI agent with Python in 40 lines. Real code, memory, tool calling. No framework bloat.
Stop scrolling through endless files. Learn how to build a blazing-fast semantic code search engine using OpenAI embeddings, PostgreSQL, and a few hundred lines of Python. Includes production-ready code.
Stop copy-pasting CI/CD scripts. Learn how to build a production-grade custom GitHub Action using TypeScript, Docker, and composite runs. Real code, real edge cases, and a deployment checklist that actually
Stop context-switching between your terminal and a browser for AI help. This hands-on tutorial walks you through building a custom AI assistant that lives in your CLI, using Python, OpenAI,
Build AI agents with Python in production. Real code, real mistakes, and a table of metrics. Avoid the pitfalls most tutorials ignore. Start shipping.
Stop wasting hours on code reviews. I'll show you how to build a custom AI PR reviewer using Claude API and GitHub Webhooks in under 200 lines of Python. Full
Practical RESTful API standards for 2026: hypermedia, error formats, and AI-augmented code generation.
TL;DR: This guide walks you through building a production-grade CI/CD pipeline with GitHub Actions. You’ll learn real-world patterns for parallel jobs, caching strategies, secret management, and automated deployments—all based on
We cut notification latency from 12 seconds to under 30ms. Here’s the exact stack—Node.js, Redis Pub/Sub, and a small but fast Vietnamese team. No fluff, just working code.
Slow APIs kill user retention. Here's exactly how we slashed response times from 2.3 seconds to 450ms for a US fintech startup using Redis caching, PostgreSQL query tuning, and a