Coding agents are pretty good at working in parallel : one writes a new API endpoint, another updates the tests, while a third fixes a bug elsewhere in the codebase. However, they’re not quite so adept at knowing what their coding counterparts are doing — put several on one project and they duplicate work, trip over each other’s changes, and leave the developer firefighting the fiasco that follows. That’s why the major AI labs and coding-tool makers have all been looking for ways to bring order to their agent fleets, albeit with slightly different approaches. This week alone, Google and...

Source: The New Stack