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GitHub CEO Thomas Dohmke introduces Copilot Workspace, a tool that lets users create applications by editing plain English. This shifts development from traditional coding to natural language interaction. Source: Ted

353,856 次观看 • 2 年前 •via X (Twitter)

10 条评论

high_byte 的头像
high_byte2 年前

ah yes very functional house to live in

Tristan 的头像
Tristan2 年前

Help me understand this. I’m my experience, development of any solution is non-linear if you are measuring deployed value (actually working code) versus effort, with the greatest effort coming just before full scale testing and leading up to a release. In some cases, it feels like progress almost stalls as devs are working on solving the most stubborn bugs. Getting an application ‘pixel-perfect’ requires extreme attention to detail and incredible fine-tuning. Even then, with a moderately complex product, not all permutations of operation are tested - leading to deployed bugs. I can understand how AI can give us a massive jump start but until I see production-ready, polished products coming out the backend of the process, I remain skeptical. Even no-code suffers from this phenomenon. I stand to be corrected, so kindly educate me!

omni 的头像
omni2 年前

the power of code is about to be expanded for all to wield

Perogi 的头像
Perogi2 年前

Very cool. But even more motivation for me to learn C and Assembly

Justin Obney 的头像
Justin Obney2 年前

Me and my 6 year old had this exact thought last April!

Abacus 的头像
Abacus2 年前

Cool, now we can invent a programming language to create the English text to specify the detailed requirements of the App

Tony Tony Poster 的头像
Tony Tony Poster2 年前

We're going to forget how to code as a species in 50 years arent we? It's going to be like sumerian writings

Jeremy Pruitt 的头像
Jeremy Pruitt2 年前

Ahhh, so this is the year of no code? Surely this time it will work 😉

jordan rothstein ☎️ 的头像
jordan rothstein ☎️2 年前

This is pretty cool, i would wonder how these environments perform at scale relative to a repo using only copilot. Do these workspaces “refactor” the code as more detailed tasks are requested? I think for large repos this method could create a lot of tech debt.

Morgen ⏩ 🍁 🇺🇲 的头像
Morgen ⏩ 🍁 🇺🇲2 年前

Here we all go.

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