Kynage Cockpit: shared tickets, instructions and memory for coding agents
Give coding agents a shared work structure
Kynage Cockpit organizes AI-assisted software development around projects and tickets connected to Git repositories. The publisher describes configuring agent roles and instructions, then letting agents create tickets, plan implementation and work within that shared structure.
Tickets contain scope, acceptance criteria, decisions and relevant context. Their boards show status, assignee, priority, story points and token usage, including what blocks a ticket. The intended benefit is a traceable path from a requirement to the implementation and its commits.
Share instructions and preserve project knowledge
Markdown bundles can supply a common setup to several agents. Updating a file in a bundle applies the change to agents using it, according to the site. Shared memory and an integrated wiki retain learnings, specifications and planning information.
The platform distinguishes workspace-level knowledge from knowledge supplied to agents assigned to a project. This makes assignment and access part of the setup, particularly when several repositories or teams share one cockpit.
The publisher's demonstration uses MCP to connect an agent and shows ticket planning and retained memory. A free account is offered as a starting point. Check the current supported connection and plan details for the runtime you intend to use.
Keep the requirement attached to the change
Franklin analysis: trial one bounded bug fix with a clear reproduction and acceptance condition. Inspect the ticket, relevant instructions, proposed diff and recorded checks before deciding that the work is complete.
Next, change an instruction deliberately and confirm which agents receive it. Common bundles are useful when consistent behavior is intended, but an unintended update can spread just as widely. Preserve the instruction version with the task evidence and review the resulting code against the actual requirement. This tests Kynage's central workflow: shared context that remains connected to a reviewable software change.