I've been testing Gemini 2.5 Pro with a 180k token codebase context window and the results are remarkable. It correctly traced a bug through 14 files, identified the root cause in a race condition between two services, and suggested a fix that actually worked first try. The 1M token context window is not just a marketing number — it fundamentally changes how you can work with AI on large projects. Has anyone else been stress-testing the context limits?
Workflows from the Neura Market marketplace related to this Gemini resource