@markoradotme · X

chenglong-hn · HN

Data visualizations are the bridge between user and data. But building AI agents that can generate visualizations reliably can be very tricky: - simple chart specs can be reliable, but generated charts are often of low quality due to reliance on system defaults; - complex chart specs with explicit details can produce good-looking charts, but they are verbose and agents can struggle with reliability We figured out it is a limitation on the language issue (not just AI capability thing) -- current visualization languages are a bit too low-level for AI agents, requiring them to explicitly make visual decisions that are supposed to be handled by a good compiler. Flint is a visualization intermediate language to address this issue, allow AI agents to solve this last-mile human-agent interaction problem. It provides a simple semantic-type based specification, and contains a layout optimization engine that can produce good-looking charts (filled with derived low-level details) from simple

@polycontext · X

Context-aware localization for apps, games, and software.

@denno256 · X

This is what I did with my freewill this weekend - built a tool for vibecoders to check if their vibecoded web app is ready to move from localhost to the big open internet:

kahlilashanti · HN

My tool scanned 256 AI-built apps and most had exposed credentials

@JacquesLoul5kn · X

Discover and subscribe

@SeagerCortez · X

@sandchuck01 · X

Made an oil change reminder web-app with Claude Code: #ClaudeCode #AI #AutoRepair

narwhster · HN

A notebook for prototyping with your agent

hannesfur · HN

Stillwind – PCB part selection as constraint solving

@stacktora · X

@nexvyn · X

I'm building a component library focused on purposeful motion Link:-