#ai-engineering

AI Coding Assistants: How to Use Them Without Destroying Code Quality

An opinionated guide to using AI coding assistants without wrecking your codebase where they shine, where they hurt, review discipline, quality, security pitfalls, and team norms that prevent AI debt.

Cover image for RAG Is Not Just Search: Chunking, Ranking, Reranking, and Hallucination Control

5 days ago 44

AI Programming

RAG Is Not Just Search: Chunking, Ranking, Reranking, and Hallucination Control

Go beyond naive vector search chunking strategies, hybrid keyword+semantic ranking with RRF, cross-encoder reranking, context assembly, and layered hallucination control, with each change helps.

Cover image for Building a Private RAG System: Architecture, Embeddings, Vector DBs, and Evaluation

1 week ago 69

AI Databases Programming

Building a Private RAG System: Architecture, Embeddings, Vector DBs, and Evaluation

A full architecture walkthrough for a private, self-hosted RAG system ingestion, chunking, embeddings, vector databases and the evaluation loop that makes it trustworthy.

Cover image for MCP Explained Without Hype: How AI Tools Connect to Apps and Data

2 weeks ago 187

AI Programming

MCP Explained Without Hype: How AI Tools Connect to Apps and Data

A plain-English technical guide to the Model Context Protocol, the problem it solves, hosts/clients/servers, tools vs resources vs prompts, transports, a minimal server, and when to adopt it.

Cover image for AI Agents in 2026: What Developers Actually Need to Know

2 weeks ago 190

AI Programming

AI Agents in 2026: What Developers Actually Need to Know

A hype-free developer guide to AI agents in 2026 to the agent loop, tools, memory, MCP, evaluation, guardrails, and the cost and failure modes that separate a demo from production.