9 results for "ui components"
I built a structured context layer for AI coding agents so they stop generating the wrong UI
Most AI coding agents fail at UI not because they can't write code, but because they have no context about what you actually want. You ask Claude Code or Cursor to "build a hero section" and you get s…
I built an AI that identifies individual ingredients from a photo to estimate calories instantly. No more manual searching.
Hi everyone, I’ve always struggled with the 'friction' of calorie tracking. Most apps require you to search for every single ingredient, weigh it, and log it manually. It usually takes me 5-10 minutes…
Show HN: Bareforge – A UI builder exporting stateful JavaScript/CLJS projects
Companion visual builder for BareDOM web components. Drag components, declare reactive state, export fully interactive CLJS or JS project - avanelsas/bareforge…
How do you get AI to generate UI that actually feels designed?
I’m building a dashboard-style app (React + Tailwind), mostly focused on content consumption, and I’ve been trying to use AI to generate the UI directly in code. The issue is… everything looks “fine”,…
Don't Make the LLM Read the Graph: Make the Graph Think
We investigate whether explicit belief graphs improve LLM performance in cooperative multi-agent reasoning. Through 3,000+ controlled trials across four LLM families in the cooperative card game Hanab…
Expert Evaluation of LLM's Open-Ended Legal Reasoning on the Japanese Bar Exam Writing Task
Large language models (LLMs) have shown strong performance on legal benchmarks, including multiple-choice components of bar exams. However, their capacity for generating open-ended legal reasoning in …
Time-Series Forecasting in Safety-Critical Environments: An EU-AI-Act-Compliant Open-Source Package / Zeitreihenprognose in sicherheitskritischen Umgebungen: Ein KI-VO-konformes Open-Source-Paket
With spotforecast2-safe we present an integrated Compliance-by-Design approach to Python-based point forecasting of time series in safety-critical environments. A review of the relevant open-source to…
A2DEPT: Large Language Model-Driven Automated Algorithm Design via Evolutionary Program Trees
Designing heuristics for combinatorial optimization problems (COPs) is a fundamental yet challenging task that traditionally requires extensive domain expertise. Recently, Large Language Model (LLM)-b…
Adaptive ToR: Complexity-Aware Tree-Based Retrieval for Pareto-Optimal Multi-Intent NLU
Multi-intent natural language understanding requires retrieval systems that simultaneously achieve high accuracy and computational efficiency, yet existing approaches apply either uniform single-step …