Audience
Software developers and engineering teams coordinating AI-assisted coding, code changes, and software-development tasks.
About Kandev
Kandev is an open-source development workbench for coordinating AI coding agents and software tasks. It brings task planning, agent sessions, repository activity, code changes, and review into one workspace, where developers can run agents in parallel, organize work with Kanban and workflow steps, inspect diffs, and review changes before opening or merging pull requests. Users can connect supported coding-agent CLIs or ACP agents and work with repositories through GitHub, GitLab, Azure DevOps, Jira, Linear, and Sentry integrations. Kandev runs locally or on infrastructure the user controls, with CLI, desktop, Docker, and service deployment options. Executors include local, isolated worktree, Docker, SSH, and remote environments; MCP, webhooks, and scheduled automations can coordinate tasks. It is intended for software developers and engineering teams seeking a shared workspace for agent-assisted coding and code review.
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Company Information
Kandev
kandev.ai/
Videos and Screen Captures
Kandev coding-agent task workspace with task list, review conversation, approval prompt, files, and terminal.
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Product Details
Platforms Supported
Windows
Mac
Linux
On-Premises
Training
Documentation
Kandev Frequently Asked Questions
Q: What kinds of users and organization types does Kandev work with?
Kandev works with these users and organization types: Mid Size Business, Small Business, Enterprise, Freelance, Nonprofit, Government, and Startup.
Q: What languages does Kandev support in their product?
Kandev supports these languages: English.
Q: What other applications or services does Kandev integrate with?
Kandev integrates with: Claude Code, Codex CLI, Cursor, Gemini CLI, GitHub Copilot, GitHub, GitLab, Jira, Linear, Model Context Protocol (MCP), OpenCode, Sentry, and Azure DevOps.
Q: Does Kandev have an API?
Yes, Kandev has an API.
Q: What type of training does Kandev provide?
Kandev provides training in the form of documentation.
