Page 4 of AI Engineering
Most engineers obsess over chunking strategies and vector databases, yet the pipeline that feeds them is where the real engineering lives. This guide maps all 11 stages of an automated docs ingestion pipeline — sitemap URL discovery, HTML cleaning, embedding, vector upserts, and incremental refresh…
When you call a model through LiteLLM, the model string you send is just a public name for a pool of deployments — and the Router decides which one actually answers. This deep dive traces that decision end to end: model_name matching, multi-provider model groups, routing groups vs. access groups…
From Claude Code's 1M-token terminal refactors to Devin's fully delegated pull requests, we ranked the ten best AI coding agents of 2026 on real benchmark scores, pricing, and autonomy. Here's which agent fits your workflow — and which failure modes the demos never show you.