Improving LLM token usage when debugging
9 days ago
- #coding-assistant
- #LLM
- #debugging
- LLM-powered coding assistants process excessive irrelevant log output, increasing API costs and response time.
- Proposed solution: Apparatus.Exec, a CLI tool designed to filter command outputs for LLM-driven development workflows.
- Features include predefined shortcuts, regex filters, working directories, pattern templates, and debug mode.
- Significantly reduces token usage by showing only relevant error messages, improving debugging efficiency.
- Limitations include handling interactive commands and real-time monitoring, where traditional terminals are still needed.