Sunday, January 25, 2026

Show HN: Coi – A language that compiles to WASM, beats React/Vue

🟠 HackerNews by io_eric ▲ 202 💬 64

Show HN project with detailed technical implementation, code examples, and performance benchmarks. Demonstrates practical use of LLMs in development workflow with concrete metrics.

JSON-render: LLM-based JSON-to-UI tool

🟠 HackerNews by rickcarlino ▲ 66 💬 18

LLM-based tool for converting JSON to UI demonstrates practical application of LLMs in development workflow.

Shared Claude: A website controlled by the public

🟠 HackerNews by reasonableklout ▲ 50 💬 20

Project using Claude API for website control with public participation; demonstrates practical Claude API implementation, though minimal details provided.

David Patterson: Challenges and Research Directions for LLM Inference Hardware

🟠 HackerNews by transpute ▲ 25 💬 1

David Patterson is a credible researcher discussing LLM inference hardware challenges; research-oriented content from a verified academic source.

Show HN: Polymcp – Turn Any Python Function into an MCP Tool for AI Agents

🟠 HackerNews by justvugg ▲ 16 💬 4

Concrete framework for integrating Python functions with MCP and AI agents. Includes code examples, implementation details, and practical use cases.

Show HN: VM-curator – a TUI alternative to libvirt and virt-manager

🟠 HackerNews by theYipster ▲ 14 💬 2

Show HN project with concrete implementation details, code examples, and performance benchmarks. Mentions Claude as a helpful tool for development, demonstrating practical LLM usage in coding workflow.

Claude Code's Most Underrated Feature: Hooks - wrote a complete guide

🔴 r/ClaudeCode by /u/karanb192

Comprehensive guide on Claude Code hooks with specific examples, exit codes, and practical use cases. Includes working code repository and actionable implementation details.

[Release] Qwen3-TTS: Ultra-Low Latency (97ms), Voice Cloning & OpenAI-Compatible API

🔴 r/LocalLLaMA by /u/blackstoreonline

Release announcement with concrete technical specifications, Docker setup instructions, Python code examples, and GitHub repository. Provides actionable implementation details for Qwen3-TTS integration.

Here's the exact Claude Code framework I used to vibe code 3 iOS apps, 2 SaaS, and AI agents

🔴 r/ClaudeCode by /u/Techn1que

In-depth framework guide covering CLAUDE.md files, context management, plan mode, and prompt engineering with specific examples and workflows. Actionable best practices from extensive practical experience.

I built an open-source audiobook converter using Qwen3 TTS - converts PDFs/EPUBs to high-quality audiobooks with voice cloning support

🔴 r/LocalLLaMA by /u/TheyCallMeDozer

Open-source tool with step-by-step setup instructions, Python code examples, voice cloning demonstration, multi-format support (PDF, EPUB, DOCX, TXT), and GitHub repository. Includes performance metrics and quick-start guide.

AI & ML Weekly — Hugging Face Highlights

🔴 r/LocalLLaMA by /u/techlatest_net

Curated weekly resource list of AI models released on Hugging Face with categorization (text, agents, audio, vision, image generation, video). Provides direct links to model cards and specifications.

Claude Code is broken now

🔴 r/ClaudeCode by /u/Pesident_Cat0919

Real bug report with error screenshots, version number, reproduction steps, and working solution (model switch). Includes problem isolation attempts and resolution.

I couldn't remember the difference between IQ and Q quantizations, so here's a primer if you're in the same boat

🔴 r/LocalLLaMA by /u/Prior-Consequence416

Educational explainer comparing IQ and Q quantization methods with practical guidance on selection criteria. Clear, actionable recommendations based on VRAM constraints.

Claude Code was reviewing its own work and passing itself 100% of the time. Here's how I fixed it.

🔴 r/ClaudeCode by /u/milkphetamine

Detailed troubleshooting post with four concrete solutions to Claude Code agent problems (self-review blocking, worktree isolation, git guards, test data provision). Includes repo link and specific implementation strategies.

8x AMD MI50 32GB at 26 t/s (tg) with MiniMax-M2.1 and 15 t/s (tg) with GLM 4.7 (vllm-gfx906)

🔴 r/LocalLLaMA by /u/ai-infos

Detailed technical post with specific hardware setup, benchmarked throughput metrics, reproducible configuration with GitHub link, and practical inference performance data for local LLM deployment.