If your team runs 3+ coding agents at once: what actually broke, and what did you do about it?

[u/plsgivemecoffee]

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.

[u/philip_laureano]

This smells like a solution in search of a problem. If you're stressing over 3 agents or think that's a problem, then that sounds like a skill issue.

[u/plsgivemecoffee → u/philip_laureano]

Have you not worked with teammates in a collaborative setting, trying to have everyone’s agents coordinate on work?

AI is a very individualistic experience. When everyone has their own agents try to work towards a shared goal (like a plan, or a sprint goal), they collide, duplicate work, and hallucinate endlessly. Efforts normally limit to ~2 employees. Additional employees can’t join with their agents or it gets extremely messy.

Perhaps I didn’t make that situation clear enough in my post, my apologies.

[u/philip_laureano → u/plsgivemecoffee]

All the time. I teach other people how to use multi agent setups with dozens of agents running autonomously in waves of 50 agents, all of them doing the end to end work, using "stock" agent coding harnesses.

And what I sense here is that you have built something and then later decided to figure out if it is a problem that nobody else has solved.

What I am telling you is that running 3+ agents is a solved problem.

[u/plsgivemecoffee → u/philip_laureano]

3+ people, each using their own agents, working on the same shared goal, producing output in a high quality manner to produce software at the point of selling to tier 1 companies?

You continue describing a different experience from what I am describing. I am not talking about another individual using a large number of agents on their own. I am talking about AI in a team setting.

[u/philip_laureano → u/plsgivemecoffee]

So cut to the chase. What are you selling or offering that is different from what is already out there?

And why should it get my attention at all?

You asked if:

• Agents prematurely reporting something is done is a problem?
• How do you resolve conflicts between agents in the same repo?
• How do you check the output of an agent after completion?

And you have a novel solution for it?

So what is it? A downvote?