plexui

35 ms·

1. 1.▲
   by plexui 7mo ago

   This feels like a natural evolution of the design-to-code workflow. Instead of generating code directly, generating structured prompts gives more control and keeps the human in the loop. One of the biggest challenges with AI-generated UI is
2. 2.▲
   by plexui 7mo ago

   This is a really interesting direction. Most current “memory” implementations for LLMs are essentially append-only logs or vector stores, but modeling things like salience, decay, and consolidation is much closer to how useful memory actual
3. 3.▲
   by plexui 7mo ago

   This makes sense. Most SAST tools have years of engineering behind them specifically for static analysis, while LLMs are general-purpose models trying to approximate reasoning from patterns. The interesting question isn’t whether LLMs outpe
4. 4.▲
   by plexui 7mo ago

   The real issue isn’t whether Claude hides actions or shows them. It’s that once you move from “assistant” to “agent”, observability becomes a hard requirement, not a nice-to-have. When an agent can read, modify, and orchestrate multiple par
5. 5.▲
   by plexui 7mo ago

   This is interesting, but it also highlights a shift from “using tools to solve problems” to “optimizing usage of the tool itself.” I wonder how much of this will correlate with actual productivity vs just higher token consumption. Usage met