Rohan Paul@rohanpaul_ai · XAI 摘要
AI编码速度提升但QA成为新瓶颈。Momentic推出测试平台，其智能体可读取Linear工单、Notion PRD和PR差异等产品记忆，使测试基于预期行为而非静态脚本。过去几周，该平台已分析7万+次测试失败，创建600个测试，PR合并率达73%并持续增长。客户包括Notion、Xero、Webflow、Retool、Runway和Bilt。
AI coding has a QA problem.
And Momentic just released a testing platform around that bottleneck： faster code means little if QA cannot scale with it.
So Momentic's testing agents read the same product memory humans use， including Linear tickets， Notion PRDs， and PR diffs， so tests are based on intended behavior rather than blind script matching.
They are claiming in the past few weeks， its agents analyzed 70K+ test failures， created 600 tests， and reached a 73% PR merge rate.
AI is writing more code than ever, but the bugs are scaling right along with it. momentic just put out how they're closing that gap. the core problem they point...