The fact that FastRender's agents tackled CSS Grid implementation through the Taffy library is particularly interesting from an architectural perspective. CSS Grid represents one of the most complex layout specifications in modern web standards, requiring sophisticated constraint solving and box model calculations.
What stands out is the agents' pragmatic decision to vendor and modify Taffy rather than implementing grid layout from scratch - showing a form of "engineering judgment" that mirrors human developer behavior. The tension between building everything from first principles versus leveraging existing solutions is something every browser team navigates.
I'm curious whether the agents had any particular struggles with CSS Grid's auto-placement algorithm or the interaction between grid and other layout modes. These edge cases are where browser implementations typically diverge from spec.
It makes me wonder what the equivalent “FastRender‑style” project would be for other domains that creators and researchers care about but that don’t have decades of conformance tests to lean on.
I've found similar patterns in smaller-scale LLM systems: the quality of the feedback the agent sees matters more than the raw capability. Garbage observability produces garbage decisions regardless of model. I have struggled to improve parallelization and orchestration of the agents though. Can't even imagine *thousands* of them running at the same time.
The fact that FastRender's agents tackled CSS Grid implementation through the Taffy library is particularly interesting from an architectural perspective. CSS Grid represents one of the most complex layout specifications in modern web standards, requiring sophisticated constraint solving and box model calculations.
What stands out is the agents' pragmatic decision to vendor and modify Taffy rather than implementing grid layout from scratch - showing a form of "engineering judgment" that mirrors human developer behavior. The tension between building everything from first principles versus leveraging existing solutions is something every browser team navigates.
I'm curious whether the agents had any particular struggles with CSS Grid's auto-placement algorithm or the interaction between grid and other layout modes. These edge cases are where browser implementations typically diverge from spec.
It makes me wonder what the equivalent “FastRender‑style” project would be for other domains that creators and researchers care about but that don’t have decades of conformance tests to lean on.
I've found similar patterns in smaller-scale LLM systems: the quality of the feedback the agent sees matters more than the raw capability. Garbage observability produces garbage decisions regardless of model. I have struggled to improve parallelization and orchestration of the agents though. Can't even imagine *thousands* of them running at the same time.