Simon Willison 撰文：编程智能体让程序员的"解谜乐趣"消失
Simon Willison 在博客中引用 Jeremy Scheff 的观点，讨论编程智能体对职业程序员造成的核心损失：编程曾是一份靠解决逻辑难题获得高薪的工作，程序员掌握策略、时间线和可行性定义权。Scheff 认为，对热衷构建可用系统而不在意具体问题的程序员，LLM 是持续馈赠；若享受直接解题本身，这种损失非常真实。
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Simon WillisonAI 评分3030 
Lisan al Gaib@scaling01AI 评分3030引用OpenAI@OpenAIOur latest model advances bring stronger capabilities for building and migrating software in low-resource programming languages such as COBOL, Fortran, and Visual Basic. These languages power software that banks, governments, and businesses depend on. Progress here means understanding decades of business logic and helping developers modernize those systems while preserving what works. We’re building these capabilities around the challenges developers and enterprise customers bring us. If your team is working on these systems, tell us which languages and workflows we should tackle next. https://openai.com/index/low-resource-programming-languages/
Simon WillisonAI 评分4242 Addy Osmani 等谈 Claude Code 团队的代码审查方式
Addy Osmani、Morgan Westlee Lunt 和 Qing Wang 在《How the Claude Code team does code review》中提出，"人是否读过代码"只是判断变更风险的粗略替代指标，更该问哪项检查能抓住问题。他们称代码审查已从 PR 末尾的关卡变成持续进行，多数变更在人工查看前已被 Claude 至少审查并修复过一次。
Andrej Karpathy@karpathyAI 评分4242
- Andrej Karpathy@karpathyAI 评分3838引用Stephanie Zhan@stephzhan
@karpathy and I are back! At @sequoia AI Ascent 2026. And a lot has changed. Last year, he coined “vibe coding”. This year, he’s never felt more behind as a programmer. The big shift: vibe coding raised the floor. Agentic engineering raises the ceiling. We talk about what it means to build seriously in the agent era. Not just moving faster. Building new things, with new tools, while preserving the parts that still require human taste, judgment, and understanding.
- Andrej Karpathy@karpathyAI 评分3636引用staysaasy@staysaasy
The degree to which you are awed by AI is perfectly correlated with how much you use AI to code.