To test this system, we pointed it at an ambitious goal: building a web browser from scratch. The agents ran for close to a week, writing over 1 million lines of code across 1,000 files [...]
Despite the codebase size, new agents can still understand it and make meaningful progress. Hundreds of workers run concurrently, pushing to the same branch with minimal conflicts.
The point is that the agents can comprehend the huge amount of code generated and continue to meaningfully contribute to the goal of the project. We didn't know if that was possible. They wanted to find out. Now we have a data point.
Also, a popular opinion on any vibecoding discussion is that AI can help, but only on greenfield, toy, personal projects. This experiment shows that AI agents can work together on a very complex codebase with ambitious goals. Looks like there was a human plus 2,000 agents, in two months. How much progress do you think a project with 2,000 engineers can achieve in the first two months?
> What matters is whether those lines build, function as expected (especially in edge cases) and perform decently. As far as I can tell, AI has not been demonstrated to be useful yet at those three things.
They did build. You can give it a try. They did function as expected. How many edge cases would you like it to pass? Perform decently? How could you tell if you didn't try?
To test this system, we pointed it at an ambitious goal: building a web browser from scratch. The agents ran for close to a week, writing over 1 million lines of code across 1,000 files [...]
Despite the codebase size, new agents can still understand it and make meaningful progress. Hundreds of workers run concurrently, pushing to the same branch with minimal conflicts.
The point is that the agents can comprehend the huge amount of code generated and continue to meaningfully contribute to the goal of the project. We didn't know if that was possible. They wanted to find out. Now we have a data point.
Also, a popular opinion on any vibecoding discussion is that AI can help, but only on greenfield, toy, personal projects. This experiment shows that AI agents can work together on a very complex codebase with ambitious goals. Looks like there was a human plus 2,000 agents, in two months. How much progress do you think a project with 2,000 engineers can achieve in the first two months?
> What matters is whether those lines build, function as expected (especially in edge cases) and perform decently. As far as I can tell, AI has not been demonstrated to be useful yet at those three things.
They did build. You can give it a try. They did function as expected. How many edge cases would you like it to pass? Perform decently? How could you tell if you didn't try?