What do you want to do?
3 use cases
-
Run parallel coding agents in isolated git worktrees
Open a repo in ThinkRail and give each agent its own workspace and branch, then merge the best one.
- REPO
JetBrains/thinkrail - Software and DevOps
- Intermediate
View prompt
Open <repo> in JetBrains/thinkrail, create two workspaces, and have one agent implement <task> with approach A and the other with approach B. Compare the diffs and test results, then tell me which branch to merge and why.
- REPO
-
Keep project intent alive across agent sessions with living specs
Let the agent read and maintain a connected graph of SPEC.md files beside your code.
- REPO
JetBrains/thinkrail - Software and DevOps
- Intermediate
View prompt
In JetBrains/thinkrail, set up living specs for <repo>: write SPEC.md files for the main modules with their purpose and key decisions, link them into a graph, and keep them updated as you implement <feature>.
- REPO
-
Review agent changes and ship the pull request from one window
Leave anchored review comments, hand them to the agent and open the PR with its CI checks in view.
View prompt
In JetBrains/thinkrail, review the changes in this workspace, leave anchored comments on anything unclear, have the agent fix them, then open a GitHub PR described from the plan and commits and report the CI status.
Quick start with Thinkrail
- Check you have what it needs: macOS, Linux or Windows (Linux needs the GTK and WebKit libraries listed in the README); A git repository; JetBrains AI sign-in or a provider connected through pi's own auth.
- Open JetBrains/thinkrail on GitHub and read the README and license.
- Install on macOS or Linux with
curl -fsSL https://raw.githubusercontent.com/JetBrains/thinkrail/main/install.sh | bash - Open a repo with
thinkrail ~/code/my-repo - Create two or more workspaces from the project; each becomes a git worktree with its own branch
- Start a pi chat in each workspace with the approach you want it to try
These steps come from our top use case, Run parallel coding agents in isolated git worktrees, which also has a copy-paste agent prompt.
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About this repo
- Who it is forDevelopers who want to run several coding agent sessions in parallel on one repo, review their changes in a real editor and ship PRs without leaving the app.
- Why it is hot2.8k stars, picked up by one AI source we track
- LanguageTypeScript
- Sourcegithub.com/JetBrains/thinkrail · Back to Hot repos
Requirements
- macOS, Linux or Windows (Linux needs the GTK and WebKit libraries listed in the README)
- A git repository
- JetBrains AI sign-in or a provider connected through pi's own auth
- The GitHub CLI (gh) for PR workflows
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Questions about Thinkrail
What is Thinkrail?
ThinkRail is JetBrains' agentic IDE built around the pi coding agent. It cuts isolated git worktree workspaces so agents work in parallel without touching your checkout, wraps them in a real IDE (Monaco editor, file tree with git marks, terminals), keeps durable project knowledge in a graph of living SPEC.md files, reads your existing Agent Skills and connects MCP servers, with JetBrains AI or your own provider credentials. It is an open-source project on GitHub: https://github.com/JetBrains/thinkrail.
How do I use Thinkrail?
Install on macOS or Linux with curl -fsSL https://raw.githubusercontent.com/JetBrains/thinkrail/main/install.sh | bash; then open a repo with thinkrail ~/code/my-repo; create two or more workspaces from the project; each becomes a git worktree with its own branch. The use cases on this page give the full steps and a copy-paste agent prompt for each job.
Who is Thinkrail for?
Developers who want to run several coding agent sessions in parallel on one repo, review their changes in a real editor and ship PRs without leaving the app.
What can I do with Thinkrail?
3 use cases so far, for example: Run parallel coding agents in isolated git worktrees; Keep project intent alive across agent sessions with living specs; Review agent changes and ship the pull request from one window. Each has steps and a copy-paste agent prompt.
What do I need to run Thinkrail?
macOS, Linux or Windows (Linux needs the GTK and WebKit libraries listed in the README); A git repository; JetBrains AI sign-in or a provider connected through pi's own auth; The GitHub CLI (gh) for PR workflows.
What are alternatives to Thinkrail?
Other hot AI repos in Software and DevOps: Deep Infer, Harness2, Orca, Opencode, Graphify.
Is Thinkrail safe to run?
Deduped does not own, audit or vouch for it. Read the README and license, run it on your own systems first and review every command before you run it.