
Mission control for managing multiple AI coding agents via Kanban + git isolation.
By Tanmay Verma, Founder · Last verified 03 Jul 2026
In short
Dev — Mission control for managing multiple AI coding agents via Kanban + git isolation. Best for Solo developers managing 3+ AI coding agents on different branches simultaneously, Indie founders acting as full-stack + product + QA, needing parallel agent workflows, Developers running the same task with multiple agents/models to compare results. Free to use.
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If you juggle multiple AI agents across branches daily and live in the terminal, dev-3.0 solves pain no IDE plugin touches. The alpha maturity and lack of paid tiers are fine for early adopters—just know it's rough around the edges.
Last verified: July 2026
How likely is Dev to still be operational in 12 months? Based on 4 signals — momentum (how recently it shipped), wrapper dependency, revenue model, and web presence.
Last calculated: July 2026
How we score →dev-3.0 is a free desktop application for solo developers who run multiple AI coding agents across several projects. It replaces terminal chaos with a structured Kanban board where each task card maps to an isolated git worktree and a tmux-powered terminal session. You can launch agents like Claude Code, Codex CLI, Gemini CLI, or any shell command directly into that worktree, split panes to run multiple agents concurrently, and monitor real-time terminal previews without leaving the board. The tool is not an IDE—it orchestrates external AI agents, giving users a mission-control cockpit for parallel, poly-agent workflows. Key features include per-task git worktrees for branch isolation, live terminal previews on hover, drag-and-drop columns, labels and full-text search, one-task-many-attempts (running the same prompt 3-10 times with different agents/models), auto-allocated ports, copy-on-write cloning for fast worktree creation, and column agents that auto-spawn when tasks land. It works with any CLI agent and integrates via MCP with tools like Linear or Jira. The app supports dark/light themes and multi-monitor windows. dev-3.0 targets the “One Person Studio”—indie founders, freelance engineers, and small-team leads who need to manage 5+ agents across branches without context switching or merge conflicts. It's free in alpha/pre-release, distributed via GitHub. Unlike IDE plugins that expose a single agent, dev-3.0 treats every task as a sandboxed workspace. It's best for terminal-savvy developers who want fleet command rather than yet another editor.
dev-3.0 is a sharp, opinionated tool for a narrow but underserved niche: solo developers running a fleet of AI coding agents in parallel. Its core insight—that context-switching and branch conflicts are the real bottleneck—is well-executed via per-task git worktrees and live terminal previews. The Kanban board is not just eye candy; it's functional, letting you drag tasks, label them, and search across them. The 'one task, many attempts' feature is genuinely useful for comparing agent outputs. Where it shines is highly parallel, multi-agent workflows. If you routinely launch Claude Code for one feature, Codex for another, and Gemini for a refactor—all on different branches—dev-3.0 keeps each sandboxed and visible. Column agents and auto-review add automation that saves real time. However, it's not for everyone. Beginners will find the terminal dependency (tmux, Ghostty) intimidating. There's no collaboration: no shared boards, no user roles. It's also alpha software—expect bugs and missing polish. Pricing hasn't been announced; it's free now, but the model might change. Compared to tools like Cursor or Windsurf that embed agents in an IDE, dev-3.0 is the opposite: it stays out of the editor and orchestrates agents purely through the terminal. If you prefer visual agent chat (like ChatGPT desktop), look elsewhere. If you're already comfortable with tmux and git worktrees, dev-3.0 could make you significantly faster. In practice, we'd reach for this when running 3+ agents in parallel on the same repo, or when comparing agent outputs side-by-side. For single-agent use or team col lab, it's overkill. The open-source, local-first approach is a plus for privacy-conscious users. Keep an eye on GitHub for maturity.
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