Launching today

KingCoding
Run Claude, Codex & Cursor in parallel from one dashboard
59 followers
Run Claude, Codex & Cursor in parallel from one dashboard
59 followers
A desktop app to run Claude Code, Codex, and Cursor tasks in parallel. Register your projects, dispatch tasks to any AI agent, and monitor everything from one dashboard. AI auto-reviews results and captures verification screenshots. King Mode lets you describe a goal and the AI plans, executes, and adapts automatically. Built by a solo dev who got tired of losing track of AI agents across terminal tabs. Your job: set direction, grant permissions, receive results. 🚀






PocketCorder
As a non-techie, I have a question: How does kingcoding coordinate tasks between Claude, Codex, and Cursor simultaneously, is there a central orchestration layer that handles task decomposition, context sharing, and conflict resolution between agents?
Sounds interesting though, good luck!
PocketCorder
@davitausberlin Great question — and thanks for asking! To be honest, KingCoding isn't really about orchestrating different AIs simultaneously. It's more about running multiple coding tasks in parallel using a single AI provider (primarily Claude Code).
Here's how it works:
You describe what you want, and an AI planner breaks it down into subtasks
Each subtask has defined dependencies and parallel groups — independent tasks run concurrently
Results are stored in a local DB and automatically passed to dependent tasks
We do support Codex and Cursor as alternative providers, but they're options you can choose per task — not agents that collaborate with each other at the same time. Think of it more like spinning up multiple Claude Code instances working on different parts of your project in parallel.
Thanks for the kind words! 🙌
Congrats @iritec_jp This is such a game changer! Does King Mode handle task dependencies intelligently? E.g., if Task 3 fails, does it block downstream tasks or attempt a workaround before flagging you?
PocketCorder
@jacklyn_i Thanks a lot! Yes, King Mode is dependency-aware. If Task 3 fails, it won’t blindly keep pushing downstream tasks that depend on it. It stops that branch from drifting, then evaluates what happened and can suggest the next best move, like a retry or follow-up task, instead of just leaving you with a mess.
Congrats on the launch? ! This hits a very real nerve. As a founder running parallel product builds, the moment you start using more than one AI coding agent, you spend more time managing the agents than actually shipping. Quick question: Does King Mode let you set guardrails — like “don’t touch the database schema” or “only modify files in /frontend”?
PocketCorder
@jerrybyday Thanks, and that was exactly the pain point behind King Mode. Short answer: partially. Today the guardrails are more session-level than path-level, so you can control how much autonomy delegated tasks get, but finer constraints like “frontend only” or “don’t touch the DB schema” are exactly the kind of guardrails we want to make stronger over time.
Running multiple parallel from one dashboard sounds like a huge sanity saver 😅 Terminal tabs get messy fast.
PocketCorder
@andrew_king10 Thank you! That’s exactly the goal. Once you have multiple coding agents running in parallel, the bottleneck becomes coordination, not coding. We wanted one place to see progress, blockers, and next actions without the terminal-tab chaos.