Zed 0.162 surge: VS Code vs JetBrains Fleet comparison

High performance and the Rust advantage

Zed delivers 2ms input latency through its Rust-based architecture and GPU-accelerated rendering. This speed redefines fluidity for developers who prioritize responsiveness. The editor uses the GPUI framework to provide low-latency rendering. While the Windows version remains in Beta, the editor provides high performance on macOS and Linux. VS Code maintains a massive extension ecosystem, but Zed provides a faster alternative for users who want minimal lag. I find that the 2ms latency gives Zed a definitive edge for users who hate input delay. Developers on GitHub discussions have even suggested that Zed extensions need more aggressive compiler optimizations, such as Link Time Optimization (LTO), to match the performance of the core editor. Some users advocate for using Fat LTO instead of Thin LTO to achieve more aggressive optimizations, even though this increases build times.

The battle for AI model dominance

VS Code supports advanced models like GPT-5, Claude 4.5, and Gemini 3.0 with a 200k token context window. Zed matches this 200k context window and supports Claude 3.7 Sonnet, Gemini 2.5, and Ollama. Both editors allow full terminal access and agentic editing across multiple files. You should examine the model compatibility if you rely on specific providers. For users who want more variety, OpenCode provides compatibility with over 75 models, including Claude, OpenAI, and Gemini. It works with any editor that supports the Agent Client Protocol (ACP), which includes Zed and JetBrains IDEs. OpenCode integrates with many Language Server Protocol (LSP) servers like Rust, Swift, and TypeScript, allowing LLMs to interact more effectively with codebases. Users can use their existing subscriptions to paid services like GitHub Copilot or ChatGPT Plus through OpenCode.

Zed AI users pay $10 per month for the Pro plan, but heavy usage incurs extra costs per token once they exceed the $5 monthly credit. In contrast, Kilo Code provides managed inference starting from $19 per month and provides access to over 500 models for 5M users. Kilo Code uses a multi-mode architecture with parallel agents across six surfaces, including Architect, Code, Debug, Ask, and Orchestrator modes. These modes handle planning and execution as separate concerns with subagent delegation across concurrent git worktrees.

Ecosystems and enterprise requirements

Zed provides native multiplayer collaboration, letting several developers edit the same files at once. VS Code wins on the breadth of its extension marketplace, which remains much larger than the Zed ecosystem. Because Zed hosted models run under provider agreements that prohibit training on prompts or code and require zero data retention, the editor provides a level of privacy that many security-conscious developers demand when working with sensitive repositories. However, the Zed Business plan lacks SSO, SAML, SCIM, and SOC 2, which might block procurement at companies with strict security requirements.

Most teams use a tiered strategy, employing IDE assistants for daily feature implementation and terminal-based agents for large-scale refactoring. While VS Code fits into established workflows, terminal agents like Claude Code CLI provide superior autonomy for executing shell commands and running test suites. For companies with strict data sovereignty, modular open-source harnesses like Continue offer the ability to route requests to local models or private cloud endpoints. The distinction between an in-editor assistant and an autonomous coding agent remains significant. In-editor assistants predict keystrokes and suggest completions, while autonomous agents navigate directories and run test suites. I choose Zed when I need raw speed and low latency for my daily coding tasks. Will the growing popularity of Zed eventually force VS Code to rewrite its core rendering engine for better performance?