// Next-gen developer tooling
Intelligent, graph-powered context extraction for large codebases. Feed your AI tools exactly what they need, nothing more, nothing less.
// Core Capabilities
Every file, symbol, and dependency mapped to a live graph. Traverse call chains, import trees, and type hierarchies in milliseconds.
Slice context to a target token budget. The engine ranks relevance and trims gracefully, ensuring every prompt counts.
Beyond syntax trees: understand intent. Docstrings, comments, and commit history feed a semantic index over your repo.
File-level diffing means re-indexing only what changed. Giant monorepos stay snappy without full rebuilds.
Emit context as JSON, Markdown, XML, or a structured prompt fragment. Plug into any LLM workflow without adapters.
Runs entirely on-device. Your code never leaves your machine. No telemetry, no cloud dependency, no trust required.
// Pipeline
Point Alligator at a file, directory, or Git ref. The watcher detects language, encoding, and project structure automatically.
SCANNER + PARSERAST nodes, symbol tables, and inter-file relationships are materialized into a typed property graph stored in-process.
GRAPH ENGINEProvide a focal point: a function name, a file, a natural-language description. The engine scores, ranks, and traverses connected nodes.
RANKER + RETRIEVERA formatted, token-bounded context block is returned. Pass it directly to your LLM, IDE plugin, or CI tool.
FORMATTER// Build Status