✨ UI generation - laurynas · Scour

Guided Generation for LLM Outputs 📐Theorem Proving

mlops.community·2d

Why your "Paragraph Prompts" are failing: A transition to XML-based Semantic Delineation ⚙Context engineering

appliedaihub.org·5d·r/PromptEngineering

agrin96/VibegraphGenerator: Proof of concept for using LLMs to generate an application by following a recursive graph decomposition of the application's architecture. ⚙Context engineering

github.com·6h·Hacker News

Replacing Web UI framework 🎛️interfaces

tvheadend.org·4h

Introduction 🤖agents

aperio-lang.github.io·14h·Hacker News

Rapidly build UI components without sweating over the logic. 🎛️interfaces

LLMs are the Ideal Candidate for Mixed-Initiative Game Design Pillar Workflows 🎛️interfaces

What we learned copying all the best code assistants 🤖agents

blog.val.town·6h

I gave my local LLM persistent context, and it finally stopped making the same mistakes ⚙Context engineering

xda-developers.com·2d

500k+ tokens on a 2010 laptop - how I built an AI chat UI that doesn't choke on large contexts 🎛️interfaces

locallightai.com·1h·r/SideProject

How to A/B Test LLM Prompts Without Breaking Production 🧪Property-based Testing

benchwright.polsia.app·19h·DEV

MdBook – a command line tool to create books with Markdown 📐Theorem Proving

news.ycombinator.com·5h·Hacker News

Compile-Time AI for GCP Landing Zones 🎮Deterministic Simulation

·2d

Structure of Every LLM Chat 🔍AI Interpretability

arpitbhayani.me·3d

VASSAL Reference Manual 🎮Deterministic Simulation

vassalengine.org·9h

Power up your Domain Specific Language 🌫Diffusion language models

slangify.org·1d·Hacker News, r/AskProgramming

AI Prompts For Web Accessibility Testing 👆human-computer interaction

forbes.com·14h

Charles Choi: Enhancing Elisp Development with Context Menus 🎛️interfaces

yummymelon.com·4d

Cerebras 🔍AI Interpretability

cerebras.ai·2d

Code Mode for a complex API: why a coding agent doesn't need MCP 🤖agents

yonibraslaver.pages.dev·14h

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