Ivan covers Big Tech, India, policy, AI, security, platforms, and apps for TNW. That's one heck of a mixed bag. He likes to say "Bleh." Ivan covers Big Tech, India, policy, AI, security, platforms, and apps for TNW. That's one heck of a mixed bag. He likes to say "Bleh."
Update 01/11/2021: GitHub clarified that the 30% figure of AI-generated is applicable to some languages, and not all the code on the platform.
GitHub announced its AI-assisted code writing feature called Copilot back in June. On the eve of its GitHub Universe conference starting today, the company said that the AI is now helping to write 30% of code on the platform.
In an interview with Axios, Oege de Moor, VP of GitHub Next — the team that works on the copilot function — said that 50% of devs who’ve tried it have kept using it.
The company is now expanding features to new code editors starting today, so even if you use another environment for development, you can take advantage of GitHub’s AI:
We are expanding editor support to includeNeovim and JetBrains IDEs, especially focused on the latest versions of IntelliJ IDEA and PyCharm. Support for multiline completions in Java has also been added, with support for more languages over the coming months.
GitHub has built this feature using OpenAI Codex, a database built upon public repositories, which is more efficient at code generation than GPT-3.
Codata, another tool offering AI-based code completion, said last year that it helped you write 25% less code — and more than a million developers were already using it.
However, this AI is not yet as smart to generate whole programs by themselves. But it makes it easier for developers to spot mistakes and complete their projects in a shorter time.
Get the TNW newsletter
Get the most important tech news in your inbox each week.