How AI coding agents actually use your technology
AI coding agents interact with developer tools in ways that differ from human users. The process involves several steps, including context assembly, model interpretation, and tool selection. Understanding these mechanics is crucial for developers to optimize their technology for AI integration.
- ▪AI coding agents utilize SDKs, CLIs, and APIs differently than human developers.
- ▪The harness assembles context from various sources before the model generates code.
- ▪The model interprets the context and decides whether to use its own knowledge or call external tools.
Opening excerpt (first ~120 words) tap to expand
You ship an SDK, a CLI, an API, and developers use it. Now AI coding agents use it too, except they use it differently than humans do. Most of the time you have no idea what’s actually happening between “developer types a prompt” and “agent generates code with your technology.” Is the agent reading your docs? Is it calling your MCP server? Is it ignoring both and guessing from memory? In the previous article, we introduced the AX stack: model, harness, and agent extensions. We talked about what’s fixed and what you can influence. This time, let’s trace through what actually happens, step by step, when an agent encounters your technology. Because until you see the mechanics, you can’t fix what’s breaking.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at Microsoft Dev Blogs.
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