AI writes the code. Tests verify correctness. More code enables more features.
这个简洁描述揭示了AI在软件开发中的完整闭环：AI生成代码，测试验证正确性，更多代码创造更多功能。这种自增强循环可能使软件开发成为AI最具颠覆性的应用领域。
5 Matching Annotations
- Last 7 days
-
www.tomtunguz.com www.tomtunguz.com
-
-
blog.google blog.google
-
You can share your window and ask, 'What are the three biggest takeaways here?' to get an instant summary.
这种屏幕共享与AI分析结合的功能展示了AI如何理解视觉内容并提取关键信息的能力。这不仅是技术创新，更是工作流程的革命，预示着AI将从文本理解扩展到视觉内容分析，可能改变我们处理信息和数据的方式。
-
- Apr 2026
-
hackernoon.com hackernoon.com
-
95% of organizations are getting zero return on AI deployed, with most failures found due to 'brittle workflows.'
尽管AI投资激增，但绝大多数企业未能获得任何回报，这与主流认知中AI能显著提升效率的观点相悖。这一发现表明，AI实施失败的主要原因不是技术本身，而是工作流程设计不当，暗示企业需要重新思考如何将AI整合到现有工作流程中，而非简单叠加技术。
-
You have to have people that have the ability to rethink the workflow at a scale that AI can execute, versus at a scale that humans can execute.
大多数人认为AI只需适应现有工作流程即可，但作者强调企业需要重新设计工作流程以适应AI的能力范围。这一观点挑战了传统的技术实施思维，暗示成功AI应用需要根本性的流程重构，而非简单的技术叠加。
-
- Oct 2024
-
www.semanticscholar.org www.semanticscholar.org
-
Furthermore, our research demonstrates that the acceptance rate rises over time and is particularly high among less experienced developers, providing them with substantial benefits.
less experienced developers accept more suggeted code (copilot) and benefit relatively versus more experienced developers. Suggesting that the set ways of experienced developers work against fully exploting code generation by genAI.
-