五个把 Jev 接进 Claude Code 的开源仓库
有人拿 Jev 和 Opus 5.5 在 100 个编码决策上对比，准确率同为 97，但 Jev 快约 3.4 倍、成本只有 40%，并列出 decisionkit、jev-harness 等五个仓库。
Claude Code gets a lot more f*cking interesting when Jev starts calling the shots one developer tested Jev against Anthropic’s Opus 5.5 on 100 coding decisions. both got 97 right, but Jev answered about 3.4x faster at 40% of the cost five repos give coding agents a way to delegate decisions, find relevant context and check completed work 01 decisionkit → sends classification, severity checks and file ranking to Jev, with probabilities beside each answer https://github.com/adityajha2005/decisionkit 02 agent-doc-search → finds the docs behind a task and filters out matches that only share keywords https://github.com/beqaux/agent-doc-search 03 Jev Harness → lets Jev pick tools and parameters, then uses code to execute actions and verify completion https://github.com/apixly-ai/jev-harness 04 skimmer → selects relevant passages from pages, PDFs and files, keeping line references for checking the source https://github.com/dorkitude/skimmer 05 skill-router → ranks installed skills for each prompt and skips those already loaded. Claude Code chooses what to use https://github.com/gecm0/skill-router-mod keep implementation and difficult reasoning with the coding model. give Jev specific questions with defined answers and check the results against your own tasks all five repos include source code and setup instructions the article below shows how to add Jev to your own agent workflow
这条是引用着另一条写的：x.com/mika_systems/status/2101686148338798610