Kilo Code

Provides real-time code completion across VS Code, JetBrains IDEs, and CLI environments by integrating language server protocol (LSP) adapters and IDE-specific APIs. The system maintains local context of the current file and project structure, enabling completions that respect existing code patterns and imports without requiring cloud round-trips for every keystroke.

Generates new code functions, classes, or modules by analyzing the current file's imports, type definitions, and existing function signatures, then injecting this context into the LLM prompt before generation. Uses AST parsing or regex-based pattern matching to extract relevant symbols and maintain consistency with the project's coding style and conventions.

Refactors selected code blocks (rename variables, extract functions, simplify logic, update deprecated APIs) by parsing the code into an AST, identifying semantic units, and regenerating code with the requested transformation applied. Validates refactored code against the original AST to ensure semantic equivalence and type safety where possible.

Analyzes code changes (diffs, pull requests, or file selections) by comparing against common bug patterns, security vulnerabilities, and style violations. Uses a combination of rule-based pattern matching (regex, AST queries) and LLM-based semantic analysis to identify issues, suggest fixes, and explain the reasoning behind each review comment.

Exposes code generation and refactoring capabilities through a command-line interface that accepts code via stdin, processes it through the same LLM pipeline as the IDE plugins, and streams results to stdout. Supports piping, file redirection, and batch processing, enabling integration into shell scripts, Makefiles, and CI/CD pipelines without IDE dependency.

Abstracts LLM inference behind a provider-agnostic interface that supports multiple local and remote backends (Ollama, LM Studio, OpenAI API, Anthropic API, etc.). Routes inference requests to the configured backend, handles model loading/unloading, manages token limits, and implements fallback logic if the primary backend is unavailable.

Maintains an index of the current project's structure (files, imports, type definitions, function signatures) that is updated incrementally as files change. Uses this index to prioritize relevant context for code generation and refactoring, avoiding the need to parse entire files on every request. Implements a cache layer to avoid re-parsing unchanged files.

Provides code generation, completion, and refactoring capabilities across multiple programming languages (JavaScript/TypeScript, Python, Java, Go, Rust, etc.) with language-specific optimizations. Uses language-specific AST parsers, type systems, and code style conventions to ensure generated code matches language idioms and best practices.

Provides a plugin system that allows developers to extend Kilo Code's capabilities with custom commands, refactoring rules, code generation templates, and inference backends. Plugins are loaded dynamically at runtime and can hook into the code generation pipeline, context injection, and review logic.