Good read on coordinating multiple coding agents

Good read - https://cursor.com/blog/scaling-agents The blog post talks about the challenge of coordinating multiple agents working on a complex build like a browser. In their testing the agents ran for close to a week, writing over 1 million lines of code. Take a second and let that sink in... a million lines of code in a week. And it isn't even the LOC that is impressive, it's the outcome of the agents working for a week. While I've not tried to get agents to coordinate on their own for a week, I've definitely run into the coordination problem as I've had GitHub Coding Agent take on multiple issues on the same solution or kick off Claude doing some work at the same time.

Cursor highlighted in their post a couple of options for agent coordination

- equal status - self coordinate

- separate roles

Some of their key findings:

- Model choice matters for extremely long-running tasks

- GPT-5.2 models are much better at extended autonomous work

- Opus 4.5 tends to stop earlier and take shortcuts when convenient

- Many of our improvements came from removing complexity rather than adding it

When asked for comment "Opus 4.5" said " I wasn't specifically trained for week-long autonomous operation"

Agents are no different than traditional team members they need a way to deconflict their work. I believe we need a standard like MCP that allows agents to collaborate as a team. Not just a team of agents from a single vendor, but across multiple stacks and not just agents, but a team of agents and humans. I suspect sometime this year we will see something emerge that improves this type of coordination dramatically. What are your thoughts?