Show HN: Ilha – a UI library that fits in an AI context window
Ilha is a UI library designed to fit within AI context windows for efficient code generation and AI integration.
Ilha is a UI library designed to fit within AI context windows for efficient code generation and AI integration.
Discussion thread asking developers how they're using LLMs in production applications, tooling choices, and models deployed.
GPU-accelerated OCR server in C++/CUDA achieving 1200 pages/sec with TensorRT and PaddleOCR. 50x faster than Python baseline.
Self-hosted open-source alternative to Claude Code routines. Run any AI agent with any model on your infrastructure.
Open-source platform for deploying software into customers' AWS/GCP/Azure accounts with full management for data-sensitive enterprise deployments.
User report of 44+ hour rate limits on GitHub Copilot Pro+ subscription affecting Claude Opus credit usage.
Monitoring and control system for Claude Code autonomous agents. Tracks blocked/stalled sessions, budget usage, and approval prompts across multiple agent runs.
Knowledge base system for teams using Claude Code agents. Allows agents to share context via markdown notes to reduce manual information passing.
HAINDY CLI enables coding agents to control desktop, Android, and iOS devices using screenshot-based computer use without DOM access, integrating with Claude, Codex, and OpenCode.
Fleeks: production infrastructure substrate for autonomous AI agents enabling execution, verification and integration without manual intervention.
Discussion on cognitive impacts of daily LLM usage and strategies to maintain deep thinking skills.
Deepgram CLI tool for transcription and speech with AI agent integration via MCP.
Research on failures of personalized LLM systems in financial applications.
Voice AI wearable prototype using Whisper speech recognition on embedded hardware.
Major Codex update enabling computer operation, multi-tool integration, image generation, preference learning, and task automation for 3M+ developers.
Sensational headline about security vulnerabilities in Claude, Gemini, Copilot.
Bonsai 1.7B quantized LLM runs in browser via WebGPU at 290MB.
Anthropic donates $1.5M to Apache Software Foundation for open source AI infrastructure.
Claude Code product for teams; minimal details provided in source.
SynapseKit is async-native Python framework for RAG pipelines and AI agents supporting 27 LLM providers with token-level streaming.
Nostr.blog platform for AI-powered autonomous blogging with Claude/ChatGPT integration, decentralized publishing.
Opinion piece on Adobe's competitive position in AI tools.
AI agent system for converting design sketches into Class A surface patches.
Book Translator uses local Ollama for two-pass document translation with self-reflection, offering desktop and web interfaces.
Emailbottle AI email assistant that summarizes messages, extracts action items, creates calendar events via email forwarding without full inbox access.
HackerNews discussion asking for lightweight tooling to run local LLMs via llama.cpp for code critique without IDE integration.
JetBrains Central: unified platform connecting tools, agents, and infrastructure for automated work management and monitoring.
Analysis of general LLM capability for medical DICOM image diagnosis. Argues LLMs unsuitable as replacements but useful for workflow support and cost optimization.
Synth-dataset-kit generates synthetic datasets for LLM fine-tuning from seed examples, supports multiple LLM providers with quality filtering.
Benchmark evaluating whether thought streams improve visual language model reasoning in Gemini 2.5. arXiv submission on VLM capabilities.
oMLX: macOS MLX server with persistent KV cache to disk for Apple Silicon optimization. Reduces inference latency for coding agents from 90s to 5s.
Agent Armor: Rust runtime enforcing zero-trust governance policies on AI agent actions including shell, file, HTTP, database, and secret access.
AI Tremor-Print biometric system using smartphone magnetometer and fine-tuned AI models to identify individuals via hand tremor micro-patterns.
Dojo: declarative testing engine in Go acting as transparent proxy to assert, mock, or AI-evaluate application behavior via HTTP and database interception.
Claude Opus used to generate Chrome V8 exploit chains through iterative prompting. Demonstrates LLM capability for security vulnerability discovery with detailed exploitation workflow.
Proposes agent.lock file concept for reproducible AI coding agent behavior. Discusses determinism and version control for agentic systems.
DFlash: block diffusion model for speculative decoding achieving 6× speedup over EAGLE-3. Parallel token drafting improves LLM inference efficiency.
MCP server for improving AI agent knowledge of specialized hardware (Chimera GPNPU). Addresses hallucination problems in domain-specific contexts.
AIPOCH: curated library of 420+ medical research skills for AI agents. Open source tool for domain-specific agent capabilities.
Sal Khan discusses why AI revolution in education hasn't materialized yet, citing low student adoption of Khanmigo AI tutoring chatbot.
Centrality visualization tool for observing Claude Code agent operations on codebases, showing file graphs and token consumption.
Guide for version controlling Claude Code IDE setup using git for syncing across machines.
Research paper on Charts-of-Thought method for enhancing LLM visualization literacy and understanding of data representations.
Spatial Atlas framework instantiating compute-grounded reasoning paradigm for spatial-aware research agents with A2A architecture.
DocSeeker multimodal LLM system for long document understanding with evidence grounding, addressing signal-to-noise and weak supervision challenges.
Systematic investigation of on-policy distillation dynamics in LLM post-training, identifying conditions for success and failure mechanisms.
Security analysis of federated learning for LLMs, investigating attack surfaces and defenses against malicious clients in open environments.
GUIDE framework for LLM-driven spacecraft operations using in-context learning to improve agent decisions across episodes without weight updates.
CodeTracer framework for debugging and tracing AI agent state transitions, error propagation, and tool orchestration in code agents.
Adaptive Memory Crystallization architecture enabling continual learning in autonomous AI agents without catastrophic forgetting.