Every AI startup is focused on "Build me an ........... app" (New projects)
But what about millions of existing codebases on GitHub with billions of lines of code?
To focus on existing codebases, I built a coding environment: Codespace.
(Explained below)
Simple Steps: 1. Connect your GitHub Account 2. Open Codespace and select the repo you want to work on. (AI agent will make an isolated environment for every request) 3. Let AI agent Analyze, generate docs and tasks list 4. analyze the kanban board to track tasks 5. Go have coffee and wait for the agent to email you when done.
I built a Claude Code wrapper that:
- runs on cloud (access it with phone, or laptop)
- can analyze upto 10M token size codebases
- has better visual UI & flow
- generate docs (knowledge base)
- tasks/sub-task list (2x better than claude)
- notifies me when its done via email