JevRouter实现多模型协同编程
JevRouter自动匹配最优模型，用99%的Opus 5.5和GPT-6 Astra性能实现40%成本节省。
JevRouter让多个AI模型在同一Codex会话中协同工作。Opus 5.5负责规划，GPT-6 Astra构建后端，Kimi K3开发前端，DeepSeek处理测试，GLM 5.3 Flash编写文档。这种协作方式使构建成本降低40%，速度提升15%。
This is what the future of coding looks like. Multiple AI models working in the same Codex session, with Jev routing them to tackle different parts of the task. Here, I had it build a full-stack demo app: > Opus 5.5 planned it. > GPT-6 Astra built the backend. > Kimi K3 built the frontend. > DeepSeek handled testing. > GLM 5.3 Flash wrote the docs. Jev handles the switching. I never touched the model picker. 40% cheaper, 15% faster for the same build. Your browser does not support the video tag. 🔗 View on Twitter Straitly @straitlyai This is JevRouter. 99% of Opus 5.5 and GPT-6 Astra's intelligence, for 40% of the cost. Hundreds of Jevs read your ENTIRE request and analyze every single benchmark across all models to match you with the perfect model. Enjoy 30% off all frontier models Your browser does not support the video tag. 🔗 View on Twitter 🔗 View Quoted Tweet 💬 11 🔄 3 ❤️ 25 👀 3476 📊 13 ⚡
