DoorDash 搞了个新基准，用开源 Kimi K2.6 配合 Claude，更便宜还能多抓 bug，做代码审查的可以试试这个搭配。
DoorDash 发布 DashBench 测试，用 105 个历史代码变更评估 AI 代码审查。双模型架构中，Kimi K2.6 负责快速扫描，Claude Fable 5 深入分析。组合方案捕获 65.2% 的真实问题（全 Anthropic 方案为 53.6%），并抓住 8/10 的关键 bug。成本从每变更 $3.91 降至 $3.81。
DoorDash just published new AI research. Yes, the delivery app. Its AI research team built an inter...
DoorDash just published new AI research. Yes, the delivery app. Its AI research team built an internal test: 105 past code changes from its own engineers, re-run through AI code reviewers to see how many real problems each one catches. The reviewer works as a pair: one model skims every code change and flags suspicious spots, a second digs into each flag. Today, both jobs go to Anthropic models. But that test found a cheaper split: hand the skimming to Kimi K2.6, an open Chinese model, and save Claude Fable 5 for the hard part. The K2.6 / Fable split scored 65.2% at catching real problems (worse bugs count for more) vs. 53.6% for the all-Anthropic pair. It caught 8/10 critical bugs, and cost $3.81 per code change instead of $3.91. Co-founder Andy Fang says the test, called DashBench, is what lets them bring in open models. Fang: "Better quality, cheaper cost." 💬 5 🔄 1 ❤️ 8 👀 3265 📊 6 ⚡