Developers Report Degraded Performance in Latest AI Coding Models

Developers are reporting that the newest generation of AI coding assistants can perform worse than their predecessors on real programming tasks. A widely discussed GitHub issue attributes degraded output in GPT-5.5 Codex to reasoning-token clustering, while a prominent engineering essay argues that more capable models are being paired with worse tooling. The debate highlights growing scrutiny of how frontier models are deployed in practice.