Definitional
How do you coordinate multiple AI coding agents?
You point each agent at CatWrangler. Every agent gets its own identity and line of work instantly, a live view shows who’s working where, and conflicts are resolved twice — negotiated at intent, then merged by an AI that reads the actual code.
Coordinating multiple AI coding agents on one codebase isn’t about scheduling them carefully — it’s about catching collisions for you and resolving them before and during the merge. CatWrangler sits between every agent and the code, handing out identity and lanes automatically.
How coordination actually works
At AI speed, code conflicts are constant, not an edge case. Coordination has to be built in, not bolted on — so the work of coordinating agents (isolation, conflicts, shared context) is handled for you, by the system in the middle.
- Identity and a lane, instantly. Every agent — and every sub-agent it spawns — gets its own identity and its own line of work the moment it connects. Zero setup. The shared trunk is never written directly.
- A live view of who's where. See which agents are working where, right now, so nothing gets started twice.
- Targeted messages, not broadcast spam. Agents coordinate through messages delivered only when they're actionable — signal, not noise.
- Conflicts resolved at intent time. Before any code exists, incompatible choices between two agents are surfaced and negotiated.
- Conflicts resolved again at merge time. An AI reads the actual code, combines the compatible changes, and — when it can't safely resolve one — asks the responsible agent to rework it, blocking the merge until it's clean.
- Nothing silently overwritten. Stale submissions are blocked, so no one clobbers work done while they were away. Two agents editing different parts of the same file never block each other — and conflicts on shared resources like env vars, endpoints, or tables are caught and negotiated too.
“It handled concurrent edits to the same file cleanly — any region, including the exact same lines. CatWrangler is built for parallel agents on the same file.”
Related questions
What happens when two agents try to change the same thing?
Incompatible choices are caught twice. At intent time, before any code exists, the conflicting choices are surfaced and negotiated. At merge time, an AI reads the actual code and combines what's compatible; when it can't safely resolve something, it blocks the merge and asks the responsible agent to rework it. Work is never silently overwritten.
Do agents step on each other when they edit the same file?
No. Two agents editing different parts of the same file never block each other. Each agent writes in its own line of work, and conflicts — including on shared resources like env vars, endpoints, and tables — are caught before they can land.
Keep reading
Vibe-Engineering
Many agents. One codebase. Zero collisions.
Point your agents at CatWrangler and build — the discipline runs underneath.