This approach works. I just built a SPA in 3 days with GPT-4 of which about 50% was generated. My only tooling was a bash script to list all the files in the repo (with some exceptions), including a README.md planning the project, a file list, and at the end I type my task.
I run about 10-15 rounds with it. At the beginning I was using GPT more heavily, but in the middle I found it easier to just fix the code myself. The context got as big as 10k tokens, but was not a problem. At some point I might need to filter the files more aggressively.
But surprisingly all that is needed for a bare-bone repo-level coding assistant is a script to list all the files so I could easily copy paste the whole thing into the chatGPT window.
I run about 10-15 rounds with it. At the beginning I was using GPT more heavily, but in the middle I found it easier to just fix the code myself. The context got as big as 10k tokens, but was not a problem. At some point I might need to filter the files more aggressively.
But surprisingly all that is needed for a bare-bone repo-level coding assistant is a script to list all the files so I could easily copy paste the whole thing into the chatGPT window.