building loopy: an autonomous software engineer

loopy started with a question: what if an ai agent could build an entire product from a single idea? not a prototype. a real product with code, commits, tests, and iteration.

you give loopy an idea and it researches, plans, builds, checks its work, fixes bugs, updates tasks, and loops until the product is done.

the architecture uses short execution cycles. after each step, loopy re-reads the repository and task state instead of treating an old conversation as truth. that matters because long-running agents fail when stale decisions become current context.

loopy is still early. it works better for some projects than others. but the direction is clear: agents that can own longer stretches of real work without constant supervision.