Loop Engineering is the practice of designing systems that automatically prompt AI agents, rather than prompting them manually. Boris Cherny runs hundreds of agents, Addy Osmani coined the term, and Blake Crosley identified verification cost as the real bottleneck — this article covers primary sources, the five building blocks, applicability boundaries, and criticisms.
Qwen (Tongyi Qianwen) is Alibaba's open-source LLM family, known for its Apache 2.0 license, 201-language coverage, and rapid iteration. The latest Qwen3.6 (2026/04) focuses on Agentic Coding — the 27B Dense version achieves 77.2% on SWE-bench and 59.3% on Terminal-Bench 2.0, on par with Claude Opus. A new Thinking Preservation feature lets agents retain reasoning context across turns.
An OpenAI internal team spent 5 months with 3 people and 0 lines of hand-written code, delivering a complete product using Codex. This article distills their core lessons on AGENTS.md design, repo-local knowledge bases, architecture enforcement, and entropy management.
Encyclopedia of Agentic Coding Patterns catalogues 190 patterns to help you make the right software decisions in the age of AI-written code — and the book itself is autonomously written and maintained by an AI agent.
Top Silicon Valley companies are independently building internal AI coding agents that automate everything from a Slack message to a merged PR. This article deep-dives into architectures from Stripe, Ramp, Coinbase, and Spotify, then expands to cover Google, Meta, Amazon, Uber, Goldman Sachs, Walmart, and more.