Coordinate sub-agents to monitor PRs and fix prod bugs
A Cursor Projects coordinator agent delegates to sub-agents, watches new PRs and production bugs, spins up agents to fix issues, and surfaces questions to the user.
Thoughtworks consultants used Gemini 2.5 Pro in a two-week pilot to produce validated blueprints of legacy systems' functionality.
Thoughtworks consultants used Gemini 2.5 Pro in a two-week pilot to produce validated blueprints of legacy systems' functionality.
Thoughtworks consultants used Gemini 2.5 Pro to reverse engineer legacy systems that had no source code available. The AI helped extract what the systems do, and the output was validated "blueprints" of their functionality. This was a two-week pilot. The listing I read is only a short blurb, so it gives no detail on inputs or on the steps people took.
The pilot produced validated functionality blueprints in two weeks. The blurb says it showed AI could cut the time and risk of modernizing opaque systems, with speed having to be balanced against validation.
Validation is the catch. Speed has to be balanced against checking the AI's output. The full InfoQ article, not this category listing, has the details.
I have a legacy system in [folder path] and no documentation. Read through the code, configs, and database schemas and write a blueprint in a markdown file covering what the system does, its main workflows, data flows, and business rules. Mark anything you are unsure about as unverified. Do not modify any files other than the blueprint. Stop when every major module is described.
A Cursor Projects coordinator agent delegates to sub-agents, watches new PRs and production bugs, spins up agents to fix issues, and surfaces questions to the user.
Ran a Cursor agent continuously for 24 hours to build a project management tool; the app fully works but is not production ready.
The author had ChatGPT take the Session Buddy extension source from Chrome, port it to Safari and install it, taking about 20 minutes.