Zed now predicts your next edit with Zeta. Zeta is derived from Qwen2.5-Coder-7B, and is fully open source, including an https://huggingface.co/datasets/zed-industries/zeta.
What I appreciate about Zed is that it marches to the beat of its own drum... while there's @Windsurf, @Cursor , and other @VS Code -based editors out there, @Zed is built from the ground up to be a performant platform that's also easy to extend.
Zed's Edit Predictions takes a subtle but elegant approach:
When language server completions are visible, Zed won't preview the predicted edit until you press option or alt. As soon as you press the modifier, Zed previews the edit and hides the menu to enable an unobstructed review. On macOS, you can just hit tab to confirm, or back out by releasing option to restore the language server completions menu.
The Zed team also wasn't content to use an off-the-shelf LLM API; they fine-tuned their own model and made the dataset available on Hugging Face. I'd love to see more of this style approach to open source AI products!
Congratulations on the launch! Love the open source direction, especially with AI. Keep up the hard work!
When I see more and more AI products, I always feel emotional, AI has helped me solve a lot of problems in reality, come on, support your products!
Zeta has significantly improved our editing process. Its predictive capabilities and open-source nature make it an invaluable tool for efficiency and customization, congrats on this fantastic innovation
This is the right path, and I’m really happy to see my favorite IDE moving forward! However, I’d be even happier if this functionality were implemented as an adapter for different LLMs. The current model performs poorly—I tried using it but ended up switching back to Copilot.
About Zeta on Product Hunt
“Zed's open source edit prediction model”
Zeta launched on Product Hunt on February 18th, 2025 and earned 201 upvotes and 8 comments, placing #10 on the daily leaderboard. Zed now predicts your next edit with Zeta. Zeta is derived from Qwen2.5-Coder-7B, and is fully open source, including an https://huggingface.co/datasets/zed-industries/zeta.
Zeta was featured in Open Source (68.3k followers), Text Editors (16.8k followers) and Developer Tools (511.1k followers) on Product Hunt. Together, these topics include over 77.7k products, making this a competitive space to launch in.
Who hunted Zeta?
Zeta was hunted by Chris Messina. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Want to see how Zeta stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Chris Messina
What I appreciate about Zed is that it marches to the beat of its own drum... while there's @Windsurf, @Cursor , and other @VS Code -based editors out there, @Zed is built from the ground up to be a performant platform that's also easy to extend.
Zed's Edit Predictions takes a subtle but elegant approach:
The Zed team also wasn't content to use an off-the-shelf LLM API; they fine-tuned their own model and made the dataset available on Hugging Face. I'd love to see more of this style approach to open source AI products!