This hits the core issue. AI can generate structure fast, but it doesn’t hold intent. So you get something that “works,” but doesn’t always align with why it exists or how it should evolve. That’s why the bottleneck shifts from building to guiding.

Yes, open source software can definitely make money through support services, subscriptions, hosting, and premium features. Companies like Red Hat and Automattic have proven this model works well. I recently read more about digital business trends here: https://nimdie.com/

This makes me wanna work on linux, soon will hop on.

A repo is truly “ready” when anyone can clone it, run a few clear steps, and get the same result without guessing or fixing hidden issues.

This is a massive upgrade for Codename One The new iOS Modern and Material 3 themes look incredibly polished, and the attention to backwards compatibility is honestly impressive. The sticky headers, runtime palette overrides, and screenshot diff testing workflow are especially cool. Great to see the framework evolving visually while also improving performance and developer experience at the same time.

True — most AI app builders optimize for “safe and decent,” which is why many apps end up looking identical. The real difference comes from systems that prioritize design thinking and planning, not just code generation.