Show HN: Tdycoder – Local AI code editor using Ollama LLM (github.com)

TDYCODER is a new Windows-only code editor that combines the Monaco editor (the same engine behind VS Code) with a built-in AI assistant powered by local LLMs via Ollama. It provides syntax highlighting for 50+ languages, intelligent auto-complete, code generation, explanations, bug detection, and full-project “auto generate” capabilities (websites, web apps, games, REST APIs). The app saves files directly to your PC, offers a visual project explorer, multiple tabs, smart file naming, and a modern UI; AI features activate when Ollama is installed and a model (e.g., ollama pull llama3.2) is running. For the AI/ML community this is notable because it showcases an end-to-end, privacy-preserving local-LLM workflow: models run locally via Ollama, keeping source code and prompts off the cloud while enabling offline development and faster iteration on prompts and model choices. Key technical points: Windows 10/11 x64 supported, 4GB minimum (8GB recommended), ~500MB app footprint plus 2–8GB per local model; the editor auto-detects the Ollama service and exposes model selection in-app. Trade-offs include OS limitations, local storage and RAM demands for larger models, and the need to manage Ollama/model installation, but TDYCODER is a practical example of integrating local LLM hosting into developer tooling.