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Articole: 144
  1. We're moving Zed AI from prompt-based limits to token-based pricing.

  2. Vibe Coding in Practice

    Manuel Odendahl demonstrates 'vibe coding' - using AI models in parallel without scrutinizing output code.

  3. Hired Through GitHub: Part 1

    Stories from the open source contributors who became core team members.

  4. Auto Update Post-Mortem

    How we broke auto-update in production and how we're addressing it.

  5. Claude Code: Now in Beta in Zed

    You asked, and here it is.

  6. Async Agents: Signal Over Noise

    Jessie Frazelle shares her hands-on experience evaluating async AI agents in production, highlighting common pitfalls and which stood out for its precision and restraint.

  7. Zed now lets you use the agent of your choice through the new Agent Client Protocol, starting with Google's Gemini CLI.

  8. This investment lets us pursue our vision for bringing a new kind of collaboration directly into the IDE.

  9. An update on what the Zed for Windows team has been doing in July and August.

  10. Why LLMs Can't Really Build Software

    Writing code is only one part of effective software engineering.

  11. The Death of the IDE?

    Steve Yegge and Nathan Sobo debate whether IDEs are obsolete in the AI era.

  12. Run AI agents in parallel without interference using containerized environments and Git Worktrees.

  13. If you don’t want AI in your workflow, it won’t be there.

  14. Why I'm Dialing Back My LLM Usage

    Alberto Fortin shares his honest reflection on the reality of using LLMs in production code and why he's taking a more measured approach.

  15. Leveling Up Agents with MCPs

    Kent Dodds provides a thorough overview of MCP (Model Context Protocol) and how it is changing the way we interact with software.

  16. Agentic Engineering in Action

    Mitchell Hashimoto walked Richard Feldman through his approach to using AI when building Ghostty.

  17. The Debugger is Here

    Over 2,000 developers asked, and we delivered.

  18. Working toward genuine, quality software in an era where code production is not the constraint anymore.

  19. Zed: The Fastest AI Code Editor

    Zed is now the world's fastest AI code editor.

  20. Out-of-your-face AI

    Making Zed's edit predictions appear only when holding a modifier key, instead of as you type.

  21. Native Git support in Zed

    You can now stage, commit, pull, push, and more, all natively within Zed.

  22. A tool that predicts your next move.

  23. You can now use icon themes to change the way folder and file icons look in Zed

  24. How to try DeepSeek-R1 for coding via the Zed code editor's out-the-box support.

  25. Vim Roadmap 2025

    What's next for Vim mode in Zed?

  26. The Context Outside the Code

    How you can quickly add external context to language model conversations with Zed extensions built using the new Model Context Protocol.

  27. Rope Optimizations, Part 1

    In this episode of Zed Decoded, Thorsten and Antonio walk through the performance optimizations Antonio when working on Zed's Rope data structure before they then pair on adding more optimizations

  28. macOS Keyboard Shortcut Localization

    How macOS shortcuts work on different layouts.

  29. SSH Remoting is Here!

    Zed can now be used to edit over SSH.

  30. In this episode of Zed Decoded, Thorsten talks to Max and Marshall, who have built Zed's extension system, asking them to explain to him: what happens when I install an extension?

  31. Some billing-related changes for Zed's AI offering

  32. Introducing Zed AI

    Powerful AI-assisted coding powered by Anthropic's Claude, now available.

  33. Run code, visualize data, and iterate right in your editor with Zed's new REPL support.

  34. Linux when? Linux now

    We've stabilized our Linux build, download it today!

  35. Text Coordinate Systems

    In this episode of Zed Decoded, Thorsten talks Nathan and Antonio about the text coordinate systems in Zed's codebase, from rows and columns to offsets to display points to anchors.

  36. Why not just embed Neovim?

    In this episode of Zed Decoded, Thorsten talks Conrad about Zed's Vim mode and asks him: why not just embed Neovim?

  37. In this episode of Zed Decoded, Thorsten talks to Piotr and Kirill, who have spent the last few months building Tasks, a collection of features in Zed that allow you to execute code.

  38. Linux when?

    In this episode of Zed Decoded, Thorsten talks to Mikayla, who's been leading the effort to Zed working on Linux, about the Zed's Linux version and how it's taking shape

  39. Fixing the Git Blame Beachball

    Debugging a severe performance problem with our new git blame feature.

  40. Learn the basics of text manipulation in Zed via a series of guided exercises.

  41. Rope & SumTree

    In this episode of Zed Decoded, Thorsten asks the founders — Nathan, Max, Antonio — about the data structures at the heart of Zed: Rope and SumTree.

  42. Async Rust

    In this episode of Zed Decoded, Thorsten and Antonio explore how we use async Rust in the Zed code base to ensure perfect cooperation with macOS to always maintain responsiveness and high-performance.

  43. Thorsten interviews co-founders Nathan, Max, Antonio about their path to AI, how they use it, how it's implemented in AI, what will change about it, and what that could mean for the future of programming.

  44. Thorsten interviews co-founders Nathan, Max, Antonio about the product philosophy behind Zed and how they think about text editing along multiple axes: Emacs vs.

  45. The Full Spectrum of Collaboration

    Thorsten interviews co-founders Nathan, Max, Antonio about their thoughts on collaboration in software teams, in general and in relation to the collaboration features that Zed offers.

  46. We Have to Start Over: From Atom to Zed

    Thorsten interviews co-founders Nathan, Max, Antonio about the vision and the technological choices behind Zed, how they went from Atom and Electron to Rust and GPUs with Zed.

  47. User themes now in Preview

    Theme Zed just how you like it in the latest Preview release.

  48. Ownership and data flow in GPUI