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GitHub launches a free version of its Copilot | TechCrunch (techcrunch.com)

submitted 1 week ago by Stopthatgirl7@lemmy.world to c/technology@lemmy.world

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Microsoft-owned GitHub announced on Wednesday a free version of its popular Copilot code completion/AI pair programming tool, which will also now ship by default with Microsoft’s popular VS Code editor. Until now, most developers had to pay a monthly fee, starting at $10 per month, with only verified students, teachers, and open source maintainers getting free access.

GitHub also announced that it now has 150 million developers on its platform, up from 100 million in early 2023.

“My first project [at GitHub] in 2018 was free private repositories, which we launched very early in 2019,” GitHub CEO Thomas Dohmke told me in an exclusive interview ahead of Wednesday’s announcement. “Then we had kind of a v2 with free private organizations in 2020. We have free [GitHub] Actions entitlements. I think at my first Universe [conference] as CEO, we announced free Codespaces. And so it felt natural, at some point, to get to the point where we also have a completely free Copilot, not just one that is for students and open source maintainers.”

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[–] muntedcrocodile@lemm.ee 15 points 1 week ago (1 children)

Can i point it at a local endpoint or do they wanna force me to send all my code to thwir servers

[–] theherk@lemmy.world 13 points 1 week ago (2 children)

Run copilot’s proprietary model locally? You’re dreaming. But you can do this with ollama, and they aren’t forcing you. There are many local models that works pretty well.

[–] muntedcrocodile@lemm.ee 7 points 1 week ago (1 children)

No i mean i assume they are shipping a vscode extension as default. I was wondering if said extension allows me to point at said locally run model.

[–] eager_eagle@lemmy.world 3 points 1 week ago

They aren't. Copilot is not a built-in extension. Can't say much about future plans though.

[–] residentmarchant@lemmy.world 6 points 1 week ago

I used Ollama locally and it worked decently well. Code suggestions were fast and relatively accurate (as far as an LLM goes). The real issue was the battery hit. Oh man, it HALVED my battery life, which is already short enough when running a server locally