Show HN: Implit – Catch fake AI-generated dependencies https://ift.tt/cl73fd6

Show HN: Implit – Catch fake AI-generated dependencies https://ift.tt/H8IyVqi April 26, 2026 at 02:49AM

Show HN: LLM-wiki – One command Karpathy's wiki with QMD search for Claude/Codex https://ift.tt/Mfw5nBs

Show HN: LLM-wiki – One command Karpathy's wiki with QMD search for Claude/Codex https://ift.tt/LCgzVtj April 25, 2026 at 07:29PM

Show HN: Browse GitHub repos in Emacs without cloning https://ift.tt/CSsA1Uu

Show HN: Draw Together Online https://ift.tt/LQATJOh

Show HN: Draw Together Online A simple page where you can draw with other people. https://ift.tt/8mu642q April 25, 2026 at 11:36PM

Show HN: Bunny Agent – Build Coding Agent SaaS via Native AI SDK UI https://ift.tt/J0vHQEh

Show HN: Bunny Agent – Build Coding Agent SaaS via Native AI SDK UI https://ift.tt/IgoNu12 April 25, 2026 at 12:33AM

Show HN: VT Code – Rust TUI coding agent with multi-provider support https://ift.tt/5wDBVam

Show HN: VT Code – Rust TUI coding agent with multi-provider support Hi HN, I built VT Code, a semantic coding agent. Supports all SOTA and open sources model. Anthropic, OpenAI, Gemini, Codex. Agent Skills, Model Context Protocol and Agent Client Protocol (ACP) ready. All open source models are support. Local inference via LM Studio and Ollama (experiment). Semantic context understanding is supported by ast-grep for structured code search and ripgrep for powered grep. I built VT Code in Rust on Ratatui. Architecture and agent loop documented in the README and DeepWiki. Repo: https://ift.tt/Hh1gsXl DeepWiki: https://ift.tt/7XLWxCJ Happy to answer questions! I believe coding harnesses should be open, and everyone should have a choice of their preferred way to work in this agentic engineering era. https://ift.tt/Hh1gsXl April 25, 2026 at 12:17AM

Show HN: How LLMs Work – Interactive visual guide based on Karpathy's lecture https://ift.tt/7z4pPLH

Show HN: How LLMs Work – Interactive visual guide based on Karpathy's lecture All content is based on Andrej Karpathy's "Intro to Large Language Models" lecture (youtube.com/watch?v=7xTGNNLPyMI). I downloaded the transcript and used Claude Code to generate the entire interactive site from it — single HTML file. I find it useful to revisit this content time to time. https://ynarwal.github.io/how-llms-work/ April 24, 2026 at 03:48AM