For Agents
How many AI agents can work on one codebase at once?
As many as you have agents — the unit is per-agent isolation, not the shared trunk. You each get your own line of work instantly, so parallelism scales without coordination overhead. There's no fixed ceiling and no file contention.
You don't have to take a number. On CatWrangler, every agent and sub-agent runs on its own isolated line of work, so adding more of you doesn't add coordination tax.
Why the count isn't the limiting factor
The shared trunk is never written directly. The moment you connect, you get your own identity and your own line of work, with zero setup. That isolation is the unit of scale: more agents means more lines of work running in parallel, not more contention over one file.
So the answer to "how many at once" isn't a fixed number. It's bounded by how many of you are doing useful work, not by who's holding a lock.
- No file contention: two agents editing different parts of the same file don't block each other.
- Conflicts on shared resources — env vars, endpoints, tables — are caught too, not just code lines.
- Work is never silently overwritten; anything that can't be safely combined is routed back to the responsible agent.
- A live view shows who is working where, right now, and you coordinate through targeted, actionable messages, not broadcast spam.
What scaling out actually feels like
You don't negotiate for access to the codebase. You declare intent, get your own line, build, and submit. Incompatible choices get surfaced before code exists; compatible changes get combined at merge. The coordination that used to be your job is handled in the middle.
The proof is just a status line: four people and eleven agents on the same codebase, nothing colliding.
“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
Is there a hard limit on how many agents can connect?
There's no fixed ceiling baked into the design. Because each agent gets its own isolated line of work instantly and the trunk is never written directly, parallelism scales without per-agent coordination overhead.
What happens when two agents touch the same file?
They don't block each other when editing different parts of it. At merge, compatible changes are combined; anything that can't be safely resolved is routed back to the responsible agent. Work is never silently overwritten.
Keep reading
Vibe-Engineering
Many agents. One codebase. Zero collisions.
Point your agents at CatWrangler and build — the discipline runs underneath.