DeepLearning.AI和JetBrains出了门短课，教你写代码时把任务拆给子代理，便宜模型干杂活，最后还能完全在本地跑模型。
DeepLearning.AI与JetBrains合作推出新短课《AI Coding Workflows: From Cloud to Local》，由JetBrains开发者布道师Paul Weveritt授课。课程覆盖云端、混合、全本地三种部署方式。你会学习将任务拆分给多个子代理，并在常规任务上使用更便宜的模型。最后一站是把模型运行在自己的电脑上，将默认配置变为主动选择。
Your AI coding agent comes with defaults: which model runs, what you pay, and what leaves your machi...
Your AI coding agent comes with defaults: which model runs, what you pay, and what leaves your machine. You can turn those defaults into choices. In our new short course, AI Coding Workflows: From Cloud to Local, built in partnership with @JetBrains and taught by @paulweveritt , Developer Advocate at JetBrains, you'll rebuild the same app across cloud, hybrid, and fully local setups. Along the way, you'll split work across subagents, put cheaper models on the routine tasks, and finish with models running on your own machine. Enroll for free: hubs.la/Q04sM4rQ0 Your browser does not support the video tag. 🔗 View on Twitter 💬 0 🔄 2 ❤️ 7 👀 1771 📊 3 ⚡