# Making AI Coding Agents Actually Good at Software Engineering > Source: > Published: 2026-08-22 10:20:30+00:00 AI coding agents generate decent code. But decent ≠ production-ready. They miss the stuff experienced engineers know instinctively — accessibility standards, proper auth flows, database reliability patterns, API design conventions. The gap between "it works" and "it's production-grade" is real. What if we could give AI agents that missing knowledge as **loadable skill modules**? That's what [TechSkills](https://github.com/debabratasaha-dev/techskills) does — an open-source library of `SKILL.md` files containing structured workflows, design checklists, and battle-tested patterns that any AI agent can consume. Skills use progressive loading to stay context-efficient: No context window waste. Agent loads what it needs, when it needs it. This is Day 1. Two foundational skills. The vision is a community-curated library covering DevOps, system design, data engineering, mobile, and more. If you've got domain expertise and want to turn it into a skill module others can use — contributions are very welcome. ⭐ [GitHub](https://github.com/debabratasaha-dev/techskills) | 📄 MIT Licensed What skills would you want your AI agent to have? Drop ideas in the comments 👇