#ai-engineering

2 weeks ago 170

AI Architecture Programming

The AI App Stack in 2026: Models, Tools, Queues, Vector Stores, and Observability

An architecture map of a production AI application in 2026 model gateway, orchestration, queues and workers, the vector/cache/database data layer with the decisions that matter at scale.

3 weeks ago 144

AI Programming

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.

3 weeks ago 161

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.

4 weeks ago 176

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.

1 month ago 255

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.

1 month ago 254

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.