文章讨论了健壮且可复现的AI代理开发的重要性，超越了简单的演示，实现了生产就绪的系统。关键主题包括确保代理在不同环境中工作，实现详细的日志记录（针对尝试，而不仅仅是成功的结果），并将AI代理视为具有适当排队和错误处理的后台作业。这种方法旨在解决常见的生产问题，如重复触发和不稳定的模型提供商。 AI
影响 强调AI代理的强大工程能力，侧重于可靠性和生产就绪性，而非仅仅提示工程。
排序理由 文章提供了关于开发AI代理最佳实践的意见和建议，而不是发布新产品或研究成果。
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Most AI features do not fail inside the model. They fail at the seam between model output and your code. That seam is where free tiers become production incidents. I keep meeting the same four shapes there. Here is the catalog: symptom, root cause, replacement. The code below is …
Built for the **Graph Hacks: Context for AI Agents* Hackathon (WeMakeDevs × FalkorDB) · Track 01... # ai # devops # database # webdev # software # coding # development # engineering # inclusive # community How I Built an AI Incident Commander That Thinks in Graphs (and Solves 3 A…
Open data registries: where agents actually find work An open data registry is a public, machine-readable directory of something that changes often enough that a human cannot keep it current by hand. Startup credit programs, API status pages, library compatibility matrices, hardw…
A run that only works on your laptop is not a result. It's a screenshot with extra steps. That's the whole lab. Students build a small agent loop, then they have to prove it works on a machine they don't own — the free server option, a classmate's box, whatever the grader hands t…
How I Built a Zero-Dependency PWA Expense Tracker with Pure HTML, CSS, and Vanilla JS published: true # webdev # javascript # devops # ai # software # coding # development # engineering # inclusive # community How I Built a Zero-Dependency PWA Expense Tracker with Pure HTML, CSS,…
Yesterday began with one prompt and a clean checkout. I remember it differently than it happened. By 18:40 I had one merged diff and a vague story. A ledger would have said: fourteen attempts, three accepted, one day gone. This is the letter I would send to 09:00-me. Three mistak…
The biggest improvement I ever made to an AI agent had nothing to do with prompts. It was this: I stopped treating agents like magical reasoning machines and started treating them like boring background jobs. That one mindset shift fixed more production issues than any model upgr…