AI coding gets interesting before the coding starts
Recently I built a plugin that can take a task number, fetch the ticket, check the repository, and plan the work before writing a single line of code. I built it for Claude Code because I was tired of the same routine. Open the ticket. Read it twice. Search the codebase for the files it probably touches. Work out what's already there. Only then start. What surprised me is that the most useful part isn't the code it writes. It's the plan. When the AI has read the ticket and the repo first, the conversation changes. It stops guessing. It asks better questions. It points at the files that matter instead of inventing new ones. I think a lot of us use AI coding tools backwards. We ask them to write first and understand later. The interesting part of AI coding happens before the coding starts. Do you let AI plan before it writes, or does it go straight to code for you?
You said the planning part is more useful than the coding part. I built the post around that line instead of the feature list.