AI Pulse · Under the Radar
The play
If you run multiple coding agents, build or buy a single dispatch layer now before your team fragments across six CLIs.
A solo developer just published an open-source Kanban board that routes tasks to six different AI coding agents at once. Veritas Kanban treats Grok Build, Codex, Claude Code, Copilot CLI, Hermes, and OpenClaw as interchangeable workers you can assign from a single queue.
That sounds niche until you realize what it says about where we are. Every major AI vendor ships a command-line coding tool, and none of them talk to each other. Each has different syntax, different strengths, different failure modes. If you want to use the right agent for the right job, you end up context-switching between terminals or writing your own wrapper scripts. This project automates that layer. You drag a card, it fires the task to whichever agent you picked, and logs the result back into the board.
Why it matters
This is the same orchestration headache we see inside companies running multiple AI tools. Marketing uses one platform, support uses another, ops built a custom agent, and nobody has a shared view of what is running or what failed. The pattern is identical. Solo builders are now maintaining meta-layers because the tooling fragmented faster than standards emerged. When hobbyists start building dispatch queues, it means the problem is real and widespread.
The fix is not another Kanban fork. It is a control plane that knows every agent you run, routes work intelligently, and surfaces failures before they cascade. That is exactly the architecture we build into the Omni Command Centre, designed for companies juggling agents across departments instead of CLI tools across terminals. If one developer needs this for six coding agents, imagine what a fifty-person team needs when every function has its own AI stack.
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