Lanes is a specialized management layer for developers who want to deploy multiple AI coding agents simultaneously across different branches of a single project. Rather than relying on a single chat interface, the platform functions as a command center that orchestrates official CLI-based agents—such as Claude Code or Gemini—inside isolated git worktrees. This approach prevents agents from overwriting each other’s work or creating merge conflicts, as every task is confined to its own environment with dedicated setup and teardown scripts. The tool distinguishes itself by running agents through a real terminal interface, meaning it respects a user’s existing shell configurations, aliases, and direct subscriptions rather than acting as a middle-man API wrapper. From a central dashboard, users can monitor live shell output, track token consumption, and manage the status of several concurrent sessions. By integrating directly with issue trackers like GitHub and Linear, it converts tickets into active coding sessions that can eventually be pushed as pull requests. It provides the structural oversight necessary for teams looking to move beyond one-off AI chats toward a more automated, multi-threaded development workflow.
Problem: Developers often struggle to manage multiple AI-driven tasks simultaneously, leading to frequent branch switching and potential merge conflicts.
Solution: The platform automates the creation of isolated git worktrees for every session, allowing different AI agents to work on separate branches without interfering with each other.
Example: A developer assigns a CSS fix to one agent while another agent refactors a database schema in a separate, parallel environment.
Problem: Manually setting up local environments for every ticket in a backlog is tedious and slows down development cycles.
Solution: It integrates with GitHub and Linear to import issues, automatically spinning up a dedicated workspace and agent for each task.
Example: Importing five high-priority bugs from Linear and dispatching them to multiple Claude Code instances to generate PRs concurrently.
Problem: Many AI coding tools require expensive API credits, even if the user already pays for a consumer subscription like Claude Pro.
Solution: By orchestrating official CLIs in a real terminal environment, the tool allows users to utilize their standard interactive plans instead of paying for API meters.
Example: Running the official Claude Code CLI within the workspace to take advantage of an existing Anthropic subscription for complex refactoring.
Target audience: Best for: Software Engineers, Technical Leads, DevOps Specialists
Pricing: Open Source · Categories: Code Assistants, Developer Tools, Productivity
Tags: AI, ai agent, code assistant, codebase, developer tools
Visit Lanes | The Workspace for Parallel AI Coding
Lanes is an open-source workspace that allows developers to run multiple AI coding agents in parallel. It uses isolated git worktrees to keep each agent confined to its own branch and task. By running official CLI tools like Claude Code inside a real terminal environment, it keeps code on the local machine and lets users leverage their personal command-line configurations and existing subscriptions.
Lanes is open-source software, making it free to use for individual developers and teams. Because the platform executes official command-line tools in an interactive terminal rather than acting as a metered API wrapper, users can run agents using their existing consumer accounts or provider subscriptions, such as Anthropic plans for Claude Code, without paying intermediary markup fees.
Lanes creates a separate git worktree for each active session to isolate concurrent coding tasks. When multiple AI agents work on different features or bug fixes simultaneously, each agent operates inside its own folder and branch with dedicated setup scripts. This structure prevents agents from overwriting shared files or causing merge conflicts while editing code on the same repository.
Lanes connects directly with project management platforms such as GitHub and Linear. Users can import backlog issues or high-priority tickets straight into the workspace, which automatically initializes a dedicated git worktree and agent session for each item. Once the AI agent completes the assigned task, the changes can be reviewed through an inline diff viewer and submitted as pull requests.
To install and configure Lanes on your machine, refer to the installation instructions and setup guides provided on the official Lanes website at https://lanes.sh/ or its project repository. The repository documentation details local prerequisites, environment preparation, and the initial commands needed to launch the dashboard and begin managing parallel AI coding sessions.