Five Devs Fixed AI Server 429 Errors by Building a Client-Side Fair Queue

A team of five independent developers sharing a single free AI server experienced escalating latency and HTTP 429 rate-limit errors within days due to uncoordinated access. Each developer ran separate scripts with their own retry logic, which multiplied traffic and triggered a thundering herd effect that effectively made the server unusable by day seven. The root cause was architectural: no shared coordination layer meant every client assumed it was the sole user. The team resolved the problem by implementing a client-side asyncio priority queue that capped concurrent requests at two and routed all calls through a single process. The fix reduced 429 errors from 23 to zero on a 100-request mixed workload by enforcing fair ordering and explicit rejection when the queue reached capacity.