---
type: concept
title: "Everyday AI Coding Use Cases"
description: "Delegating tedious, low-satisfaction dev work - debugging, documentation, tests, and infra config - to an AI assistant."
tags: [ai-coding, debugging, documentation, testing]
videos: [deploying-billions-of-ai-agents-is-easier-than-you-think, v0-claude-a-game-changer-for-building-ai-apps, you-need-these-5-tools-for-coding-better-than-chatgpt]
created: 2026-07-21
updated: 2026-07-21
---

# Everyday AI Coding Use Cases

The most reliable everyday win from an AI coding assistant is not building whole apps, it is absorbing the tedious, low-satisfaction work that developers dislike. The clearest example is tests: an assistant is great "to write tests for you because writing tests for your code is one of the most tedious things." Documentation is the same story, "adding documentation is necessary it's often as vital but it's annoying it's tedious," so handing it to a tool that "has features for adding documentation to your code" removes friction without much risk.

Debugging is a second high-value, low-effort use case. Rather than reasoning through a stack trace yourself, the workflow is simply to feed the error back to the model: "I'm going to start by copying this error that I'm getting I'm just going to copy the error message go back over here into Claude and paste that." It works well because the error message carries most of the signal, "Claude got the error exactly right it had to do with the Imports like it said like I suspected from the error message."

Infrastructure and config are a third area where delegation shines, precisely because it is fiddly and easy to get wrong by hand. You can "use an AI IDE like cursor or windsurf to define all of the steps to create your agent in code so that way you don't have to create some external process to go into a server and run these commands one at a time." Cole is candid that he leans on this heavily, "I did not create this Docker file myself I just use windsurf to make it I'm going to be honest." The one caveat is verification: because AI wrote it, "we want to make sure it didn't hallucinate anything," which ties everyday use directly to [End-to-End Validation](./end-to-end-validation.md).

## Related

- [AI Coding Assistant](./ai-coding-assistant.md) - the tool doing the tedious work.
- [AI Coding Harness](./ai-coding-harness.md) - scaffolding that makes delegation dependable at larger scope.
- [End-to-End Validation](./end-to-end-validation.md) - verifying AI-generated infra and code actually work.
- [Agent Deployment](./agent-deployment.md) - AI-written Dockerfiles and deploy scripts as an everyday use case.

## Tools

- [Cursor](../entities/tools/cursor.md) and [Windsurf](../entities/tools/windsurf.md) - AI IDEs used to write Dockerfiles and deployment steps in code.
- [GitHub](../entities/tools/github.md) Copilot - highlighted for generating tests and documentation.
- [Claude](../entities/tools/claude.md) - used to debug by pasting error messages back in.
- [Docker](../entities/tools/docker.md) - the infra config target an assistant handles end to end.

## Sources

- [You NEED These 5 Tools For Coding!! (Better Than ChatGPT)](../sources/you-need-these-5-tools-for-coding-better-than-chatgpt.md) - "[0:03:13] one big way that you could use GitHub copilot and really any of these tools is to write tests for you because writing tests for your code is one of the most tedious things"
- [V0 + Claude: A GAME CHANGER for Building AI Apps](../sources/v0-claude-a-game-changer-for-building-ai-apps.md) - "[0:14:30] Claude got the error exactly right it had to do with the Imports like it said like I suspected from the error message"
- [Deploying Billions of AI Agents is Easier than You Think](../sources/deploying-billions-of-ai-agents-is-easier-than-you-think.md) - "[0:06:09] I did not create this Docker file myself I just use windsurf to make it I'm going to be honest"
