EconomistFar

Cool comparison. Both guys helped shape early computing but in totally different ways, one pushing from the garage, the other from within the system. It’s a good reminder that innovation doesn’t follow one path and impact isn’t always loud or obvious at first.

Cool comparison. Both guys helped shape early computing, but in totally different ways, one pushing from the garage, the other from within the system. It’s a good reminder that innovation doesn’t follow one path and impact isn’t always loud or obvious at first.

This is pretty cool, love seeing more opinionated starter kits that actually focus on developer experience and modern build performance. So many boilerplates get bloated fast.

What stands out is how Cogency tries to balance convention and flexibility, especially the way it handles routing and API hooks without locking you in too hard.

Really interesting piece, the bit about tight vs loose bounding boxes got me thinking. Small inaccuracies can add up fast, especially in edge cases or when training on limited data.

Has anyone here found good ways to handle bounding box quality in noisy datasets? Do you rely more on human annotation or clever augmentation?