正在加载视频...
视频加载失败
Top 1 upgrade for your development environment: Start using Dev Containers. During every cohort of my Machine Learning Engineering program, 100+ developers try to run a complex system on their computers. I was wasting 10+ hours every week troubleshooting individual configurations. It was exhausting! I started using Dev Container,... show more
11 条评论

The next cohort starts in August. It's going to be the biggest one yet, so make sure you secure your spot now.

Here is the video on YouTube:

If you're not learning AI in 2025, you're falling behind. Join 1,000,000+ early adopters reading and learn AI in just 5 minutes a day (for free).

but now how will they learn the hardest thing about using python? i.e. managing development environments 😅

Adopting Dev Containers streamlined our workflow significantly. Thanks for the practical guidance.

What do you mean ML in a container? Are people actually training models in containers? Wouldn't that impact training efficiency noticeably?

Curious: What's the top Dev Container tip for AI setups? Must be a relief to cut down on setup woes and jump straight into the good stuff!

My advice : just install docker desktop, and always ask the Ai to set up your projects in it (it is also a dev container + a service server). It is super convenient. Will have to check again you bid to understand the diff with docker in what you show.

How about no containers? For my personal projects I just need 1 running process. Not even a separate db server since I use SQLite.

Can I provide constructive criticism for the video? 1. What you’re working on (like code, config) should be bigger. 2. Your video image should be smaller. 💪

@threadreaderapp unroll

