Difficulty analyzing large log files with AI due to token limits
π§ workproduct problemSingle report βββββ
The author is investigating whether token limits prevent users from feeding full logs to AI and is seeking to understand if this is a common pain point.
What people do today
- Manually splitting log files
- Writing custom scripts to filter logs
- Using local LLMs with larger context windows
π§ Fix this
Ideas a builder, maker or community group could start on:
- A CLI tool that performs semantic-aware log compression specifically for LLM context windows
- A cloud-based log analysis platform that automatically chunks and summarizes logs before sending them to an AI model
- An IDE plugin that provides a 'send to AI' button for logs that automatically handles compression and token management
Real voices
βDo token limits stop you from feeding full logs to AI?β
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