Built a small PR guardrail for token bloat, worth maintaining? (github.com)

ContextLevy has launched a new tool aimed at improving the efficiency of AI coding agents by managing "context bloat" caused by pull request (PR) changes. The tool analyzes PR diffs to estimate and flag excessive token usage from artifacts like generated code, build outputs, and noisy logs, which can negatively impact the performance of AI agents. By providing clear visibility into which files contribute to context bloat, ContextLevy allows developers to clean up their PRs before merging, ultimately helping maintain focus and reducing future costs associated with AI-assisted development. This development is significant for the AI/ML community as it addresses the critical issue of bloated context, a challenge that can hinder the performance of popular coding agents like Cursor and Codex. ContextLevy operates without external dependencies, leveraging only GitHub metadata and diff patches to estimate token weight while providing actionable insights through comments in PR threads. Available as a GitHub Action and npm CLI, the tool not only simplifies the review process but also encourages better repository hygiene, optimizing the use of AI coding tools for enhanced productivity.