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AI CodeLint\n\nUse LLMs to lint code.\n\nAI CodeLint uses LLMs to identify logic bugs that survive compilation and traditional linting.\n\n## Install (Recommended)\n\nmacOS/Linux:\n\n```sh\ncurl -fsSL https://raw.githubusercontent.com/RussellGN/AI-CodeLint/main/scripts/install.sh | sh\n```\n\nWindows (PowerShell):\n\n```powershell\nirm https://raw.githubusercontent.com/RussellGN/AI-CodeLint/main/scripts/install.ps1 | iex\n```\n\nAfter install:\n\n```sh\nai-codelint --version\n```\n\n## Development Status\n\nAI CodeLint is in heavy development and is not production-ready yet.\n\n- Features and APIs can change quickly.\n- Breaking changes are expected while core behavior is refined.\n- Current releases should be treated as pre-release testing builds.\n\n## Interface\n\nAI CodeLint consists of one standalone binary: `ai-codelint`.\n\nThat binary currently exposes two modes of operation via the command line:\n\n- CLI mode: run lint checks from the terminal, like conventional linters.\n- LSP server mode: run as a language server so IDE clients can request diagnostics.\n\nThe VS Code extension is now live on the Visual Studio Marketplace:\n\n- [AI CodeLint for VS Code](https://marketplace.visualstudio.com/items?itemName=russell-gn.ai-codelint)\n\nOther IDE extensions are incoming.\n\n## Inference\n\nAI CodeLint intentionally uses [OpenRouter](https://openrouter.ai/) so inference-provider and model selection is quick and easy to change and experiment with.\n\n- **You will need an [OpenRouter api key](https://openrouter.ai/keys) to use AI CodeLint**.\n- At the time of writing, signing up is free, with free models available for use with limits.\n- Run `ai-codelint --configure` to set up api key and other optional runtime defaults.\n\nModel quality note:\n\n- Best results so far come from frontier models.\n- Lesser models can produce highly variable lint quality and consistency.\n- Recommended model: `anthropic/claude-sonnet-4.6`\n\n## Examples\n\nThis repository includes intentionally buggy code samples under [`lint samples/`](https://github.com/RussellGN/AI-CodeLint/tree/main/lint%20samples/).\n\nThese samples cover:\n\n- syntax/semantics mistakes (should be ignored by linter),\n- easy rule-based linter catches,\n- subtle logic bugs,\n- edge-case behavior and review-evasive patterns.\n\nThey are useful for evaluation, and comparing model performance.\n\nResources:\n\n- Official Docs (still in development): [russellgn.github.io/AI-CodeLint](https://russellgn.github.io/AI-CodeLint)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Frussellgn%2Fai-codelint","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Frussellgn%2Fai-codelint","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Frussellgn%2Fai-codelint/lists"}