nettee

Exploring how to reduce attention switching in multi-agent AI programming and improve output more sustainably.

This article shares practical experience in designing AI-friendly workflows that allow Agents to handle development chores like testing, code reviews, and O&M, helping you escape the fate of "working for the AI."

This article analyzes the underlying models, frameworks, and Skills protocol incentives behind OpenClaw's sudden popularity, while advising readers to move past FOMO and take a rational look at the scenario-based innovations of this geek tool.

Using a "Linus Torvalds style" prompt as a case study, this article reveals the underlying logic of AI programming: using structured instructions to guide AI in writing high-quality code.

How can you ensure LLMs consistently output structured content? This article highly recommends forced tool calling and provides best practices for integrating with Pydantic.