In r/artificial and r/datascience, builders note that agent frameworks can burn huge context windows on system prompts and orchestration, forcing tradeoffs in long-running work and pushing teams toward explicit context management at scale.
I don't quite have enough memory to up the context to run openclaude in any meaningful way (just the system prompts are 22k).
orchestration frameworks like LangGraph or CrewAI get all the attention but interviewers want to hear about failure handling, state persistence, and how you'd manage context windows at scale.
I use Claude, I build up this whole context with it, I develop ideas and strategies over long conversations..
This finding is one of many signals tracked across Artificial Intelligence. The live feed updates every few hours with new authority voices, debates, and emerging ideas.
← Back to Artificial Intelligence