<div class="md">I’ve been experimenting with coding agents a lot recently (Claude Code, Copilot, etc.), and something interesting keeps showing up. Agents are pretty good at generating backend logic now. APIs, services, and even multi-file changes across a repo. But the moment they need to touch real infrastructure, things get messy. Schema changes. Auth config. Storage. Function deployments. Most backend platforms expose this through dashboards or loosely defined REST APIs. That works for humans, but agents end up guessing behavior or generating fragile SQL and API calls. What seems to work better is exposing backend infrastructure through structured tools instead of free-form APIs. That’s basically the idea behind MCPs. The backend exposes typed tools (create table, inspect schema, deploy function, etc.), and the agent interacts with infrastructure deterministically instead of guessing. I’ve been testing this approach using MCP + a backend platform called InsForge that exposes database, storage, functions, and deployment as MCP tools. It makes backend operations much more predictable for agents. I wrote a longer breakdown <a href="https://insforge.dev/blog/building-structured-backend-stack-for-ai-coding-agents">here</a> of how this works and why agent-native backends probably need structured interfaces like this. </div> submitted by <a href="https://www.reddit.com/user/Arindam_200"> /u/Arindam_200 </a> <a href="https://www.reddit.com/r/ChatGPTCoding/comments/1rt1h8t/what_backend_infrastructure_needs_to_look_like_if/">[link]</a> <a href="

What backend infrastructure needs to look like if coding agents are going to run it

Related Skills

Math Tutor AI

API Endpoint Designer

LinkedIn Prospector