The agentic IDE for the Pi coding agent

Joined September 2026
ThinkRail has just reached 1000 stars on GitHub! And you know how it is. One star on GitHub equals 20 likes on X (or another made up number). We're fiercely proud of this achievement. github.com/jetbrains/thinkra… Go, check it out 🚉
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ThinkRail: A visual layer for Pi
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ThinkRail 0.2.0 is out! 🚂 It comes out with: - Receipts for every turn of the AI agent's work - Support for MCP servers - A key shortcut for switching to the agent that needs your help - Finished workspaces park themselves ... and more! Check it out: thinkrail.ai/blog/thinkrail-…
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ThinkRail retweeted
基于 Pi Coding Agent 的各类套壳 GUI 已经不少了,JetBrains 也开源了一个 ThinkRail,毕竟出自 IDE 老大哥,工程水准不会差。 这项目几个月前就有了,但没见官方推广,也很少有人提,GitHub Star 才 500 多。我之前纳闷 JetBrains 既然有了官方主推的新 ADE 工具 Air,为什么还要单独做一个专为 Pi 打造的 ThinkRail? 上手体验后发现两者定位不同:Air 是企业级重装航母,而 ThinkRail 是极致轻量的极客工具。它基于 Electrobun(Bun 跨平台桌面方案)开发,内存占用极低。 功能也和市面上的 ADE 差不多: 🔹 Git Worktree 隔离:每个 Workspace 都是独立的 worktree 分支与目录,适合多 Agent 并行开发。 🔹 规范驱动(SDD)​:这个稍微有点特色,让 Agent 先读懂架构设计再施工,彻底防止代码写跑偏。 🔹 简单的 IDE 功能:集成 Monaco 编辑器、实时 Git Diff 审查和独立终端。 全平台均可直接下载体验: 官网:thinkrail.ai/ 项目地址:github.com/JetBrains/thinkra…
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Your AI agent says all the tests pass.
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Your AI agent just wrote a whole feature tnkrl.ai/amprvi #ai #pi #thinkrail #coding
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ThinkRail: An agentic IDE that follows Pi's philosophy
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Thank you, @reactuniverse_ ! Agent Conf 2026 was a blast. Honestly, I didn't expect such a warm welcome, so many people curious about @jetbrains and @ThinkRailAI, and so many interesting conversations. I hope to come back next year 😊 – at Warsaw, Poland
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Curious what @JetBrains is cooking in the age of AI? 👀 @AgentConf is the place to find out. Great insights from @makingthematrix — keep an eye on what they’re building. 🚀
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Hello, @AgentConf! I'm here to talk about @ThinkRailAI and other AI projects in @jetbrains - but this time not as a speaker. If you're here as well, come find me in the main hall ☺️ – at Warsaw, Poland
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ThinkRail Spec-Driven Development thinkrail.ai/blog/thinkrail-… "The specs work as guardrails for your AI agent: always present so that the agent will not go off-course but not getting in the way if everything works well."
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