If your team runs 3+ coding agents at once: what actually broke, and what did you do about it?
Heat trend
Collecting trend data
The percentage is based on available heat signal, not comment count or independent people.
A developer is building a tool for teams using multiple coding agents simultaneously and is seeking feedback on common issues encountered. They are interested in understanding what breaks when three or more coding agents run concurrently and what workarounds teams employ. The developer specifically asks about strategies like using worktrees, assigning one agent per branch, or serializing agent operations to avoid conflicts, and is open to hearing if such problems are not prevalent.
I’m building a tool in this space, so I have an obvious bias; trying to find out if I’m solving a problem that exists.
Concretely, for anyone whose team has more than one person running agents on the same repo:
• Last time two agents produced conflicting work, how did you find out? Merge conflict, failing test, code review, or production?
• What’s your current workaround? Worktrees, one agent per branch, everyone just picks different areas and hopes, or serializing so only one runs at a time?
• When an agent says a task is done, do you believe it? What do you check?
Genuinely interested if the answer is “this has never come up,” that’s useful too.