DEMO / RECORDING
Overview & result
Long-running coding agents accumulate tool results and history. Jev can judge the relevance of each item against the current task, while ordinary code applies keep, review, and recovery rules.
From the original post
found the perfect use case for @typesafeai Jev:
instant compaction
in 2026, why is compaction still a summarization prompt?
Jev can make it instant by scoring every tool call and dropping what’s irrelevant
How Jev fits in the loop
- Score tool-call relevance using Jev.
- Drop irrelevant tool results while keeping retained text verbatim, as described by the author and repository.
How to reproduce
- Review the fast-jev-compaction repository for installation and configuration.
- Evaluate retention on a disposable agent session before relying on compaction.
Why this build matters
It is a practical example of Jev handling repetitive bounded judgments while the coding agent and context manager retain control of content generation and deletion.
Limitations
- This record is based on a community demonstration, not an independent benchmark.
- Removing the wrong context can silently degrade an agent's next action.
- Summarization, storage, deletion, and restoration are performed by the language model or surrounding code, not Jev.