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Alternatives

Products that do what 1DevTool does

Multi-project IDE with persistent terminals and 9 dev tools

  1. 1

    Your AI agents team, terminals, notes: one infinite canvas

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    Toolport130

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    BU138

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    Concurrent coding from your own IDE or terminal of choice

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    Factory168

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    Anvil175

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    The fastest workflow for developing with AI

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    ModuleX159

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    N71141

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  11. 11

    One workspace for Claude, Codex, Gemini and your stack

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  12. 12
    Rudel94

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  13. 13

    One dashboard to run and organize multiple AI CLI agents

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  14. 14
    MeshPilot102

    Your AI workspace for terminals, tasks, and agents

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    Full project management inside VS Code, Cursor & Windsurf

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    DexCode94

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  17. 17

    Claude Code as a Tech Lead with parallel Worker Agents

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  18. 18IL

    VSCode was my daily driver for years, but once I started running several coding agents across multiple projects at the same time, it got in the way. One workspace with terminals in the bottom tray, no idea which agent was doing what and I found myself needing all the code editing tools less and less. So I built my own IDE around that workflow. Terminals are a first-class citizen, every project stays alive in the background with visual statuses. Close the workspace and come back weeks later, everything is still in its place. I've been using it for weeks and it's a big productivity boost. The…

    Jul 2026 · github.com

  19. 19SR

    Hello all, I'm a software developer. Over the last few months more and more of my work has turned into using coding agents instead of typing the whole code myself. Usually a few claude sessions at once, sometimes codex, one per feature or per revealed bug. I ran them in a split terminal for a few weeks, and quickly spotted two main problems. The first is that I couldn't easily tell which agent was stuck waiting on me and which was still working, so I'd cycle through sessions and checking on them. The second one: agents sharing a single branch step on each other. Two of them could be editing…

    Jul 2026 · shikigami.dev

  20. 20DP

    devnexus is an open-source cli that gives agents persistent shared memory across repos, sessions, and engineers. It maps out dependencies and relations at the function level, builds a code graph, and writes it into a shared Obsidian vault that every agent reads before writing code. Past decisions are also linked directly to the code they touched, so no one goes down the same dead end twice. Still building it out but I would love to hear any thoughts/feedback

    Apr 2026 · github.com

  21. 21LS

    Hey HN, Lich is a worktree aware local dev stack orchestrator. Simply put, it allows you to run multiple copies of your development stack from different worktrees with different code in parallel without going insane. I built Lich because I’ve found myself increasingly using multiple parallel coding agents for development work. I wanted my coding agents to each have independent copies of my development stack to be able to test and validate their own work well. I found that trying to do this totally broke the way I have normally setup tooling for local development. Ports conflict, the UI from…

    Jun 2026 · github.com

  22. 22
    Maestro20

    Bloomberg Terminal for CLI agents

    Jan 2026

  23. 23GY

    Hi all, I've been working on this devtool for 1 month now for myself at first and I'll be curious to see if it's something that could work for you as well. So basically, it detects bugs in your website in production from real user sessions, an llm clusters them by severity and it provides the complete context of the issue that you can copy-paste into your coding agent to fix it in one go. Why did I create it? I've been shipping fast with tools like Cursor and Claude Code. The problem? When bugs happen in production, these tools have zero context about what actually went wrong. Sentry is…

    Nov 2025 · sonarly.dev

  24. 24TO

    I built DevClaw, an OpenClaw plugin that turns each Telegram group into an isolated, autonomous dev team: planner/orchestrator, DEVs, and QA all running on their own. I use it for all my development now. Issues on GitLab/GitHub are the single source of truth, and three things compound to save around 70% on tokens: model tiering (Haiku for typos, Opus for architecture), session reuse across tasks, and token-free scheduling that burns zero LLM calls for orchestration. Please try it and give some feedback. Also keen to hear from anyone running autonomous coding agents, especially what…

    Feb 2026 · github.com

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