SonarSource CEO教你用三阶段框架驯服AI Agent，验证环节能减少92%的问题，码农必看。
SonarSource CEO Tariq Shaukat在演讲中提出一个三阶段框架：Guide（提供上下文和约束）、Verify（零信任多层验证）、Solve（维护循环和技术债务控制）。基于CMU和Sonar生产力研究，他们发现采用以Agent为中心的开发周期（ACDC）并执行严谨验证后，问题减少率达92%。他强调系统思维和代码验证是AI成功的关键，认为闭环不仅是软件工厂所需，也是AI工程从追求token数量转向生成可用代码的必经之路。
🆕In the Land of AI Agents, the Verifiers Are King https://t.co/XAesWQUMEn @tariqshaukat, CEO of @...
🆕In the Land of AI Agents, the Verifiers Are King youtube.com/watch?v=VrpEyg… n @tariqshaukat , CEO of @SonarSource , takes to the keynote stage to answer @trq212 's challenge of extracting AI utility from slop! Backed by CMU and Sonar productivity studies, he proposes a 3-stage framework - Stage 1: Guide (Providing context and constraints) - Stage 2: Verify (Zero-trust, multi-layered verification) - Stage 3: Solve (Maintenance loops and technical debt control) Echoing @headinthebox and @varun_pant_ 's talks - he is keen on systems thinking and code verification as the key to success with AI. When done right, they have been seeing as much as 92% reduction in issues with disciplined verification with an agent centric development cycle (yes, the ACDC). Closing the full loop is not just needed for the software factory, but for AI Engineering to progress from tokenmaxxing to provably useful code. 💬 0 🔄 0 ❤️ 1 👀 315 ⚡