𝗦𝘁𝗼𝗽 𝗪𝗿𝗶𝘁𝗶𝗻𝗴 𝗖𝗼𝗱𝗲 𝗔𝗜 𝗔𝗴𝗲𝗻𝘁𝘀 𝗖𝗮𝗻'𝘁 𝗥𝗲𝗮𝗱
You use AI tools every day. You use GitHub Copilot, Cursor, or Claude to write functions, debug APIs, and write tests.
But the code you feed back into these agents is often a mess.
I saw this happen in my own project. I asked an AI to trace a bug across three files. The AI gave up. It referenced variables that did not exist. It confused function outputs. It wrote code that broke things even more.
I blamed the model. Then I looked at my code.
AI agents do not have the luxury of asking you questions mid-read. They parse code using a context window. They try to infer everything from a snapshot of your files.
If your code is ambiguous to a human, it is invisible to an AI.
High-quality code is the secret to better AI results. Here is how to write code that works for both humans and agents:
Use descriptive naming Avoid single letters like d, u, or r. Use names like userData or fetchUserProfile. Booleans should be questions: isLoggedIn or hasPermission. Arrays should be plural: userIds or selectedProducts.
Follow the single responsibility principle One function should do one job. If a function name contains the word "and," split it. Keep functions short. Aim for under 30 lines.
Comment the "why," not the "what" Do not explain what the code does. The code shows that. Explain why the logic exists. Use JSDoc or docstrings to explain the intent.
Maintain strict consistency Do not mix different async patterns in the same project. Stick to one way of handling errors and one way of storing results. Inconsistency forces the AI to treat every file as a new puzzle.
AI tools are becoming more autonomous. They run tasks, execute tests, and make pull requests. Your code quality is now a dependency for their success.
If your code is unreadable, your AI agent is flying blind.
Write clearly. Good code works for humans and AI agents alike.
Source: https://dev.to/thesiliconarchitect/stop-writing-code-ai-agents-cant-read-5gdh
Optional learning community: https://t.me/GyaanSetuAi