AI Project Recovery Assistant
AI Project Recovery Assistant AI coding tools can build applications faster than ever, but they still leave developers with a frustrating problem: recovering when work gets interrupted. A coding session might end because an AI usage limit is reached, the context window fills up, a build fails, or the developer has to stop working for days. When they return, they may have forgotten important decisions, and the AI might claim a task is complete when the code says otherwise. The idea: Build a tool that helps developers safely resume interrupted AI-assisted projects. It could: - Preserve: Save project progress, important decisions, pending tasks, and technical context. - Verify: Check the actual repository, build results, and tests instead of trusting an AI's claim that the work is done. - Recover: Help developers identify what remains unfinished and find a safe path to continue. The tool could initially support GitHub repositories and common AI coding workflows, with local-first storage as a privacy option. The main opportunity: Rather than building another AI coding assistant, focus on what happens when the assistant stops, loses context, or gets things wrong. Key question: Would developers use a dedicated recovery tool for interrupted AI coding sessions, or are existing Git tools, notes, and coding agents already good enough?