AI Copilot for Vim/NeoVim
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Updated
Jul 31, 2026 - Python
AI Copilot for Vim/NeoVim
Analysis of the Github Copilot extension
Constrained Decoding of Diffusion LLMs with Context-Free Grammars.
Eclipse extension that provides inline completion backed by LLMs
minimal fill-in-the-middle autocomplete for vscode/codium, for use with llama.cpp infill or any openai-compatible server
Inline AI code completions for Visual Studio 2022 & 2026, powered by your self-hosted Ollama instance.
Inline AI code completions for Visual Studio Code, powered by your self-hosted Ollama instance.
Structured text generation, information extraction, and even more.
Local-first VS Code autocomplete with a native macOS MLX model launcher.
fim training framework with ast-aware extraction for code completion. extracts semantic boundaries from rust, generates targeted samples. efficient fine-tuning using qlora
Local fill-in-the-middle completion for Neovim via a local llama.cpp llama-server.
Bounded AI edits via Codestral FIM for UTF-8 source, with byte-preserved surroundings and explicit checks.
Evaluation of the Tiny Starcoder Fill-in-the-Middle code completion model, utilizing dataset generation, manual scoring, and various automatic metrics to assess performance.
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