Function And Class Signature Extraction

via “function signature and parameter extraction with type information”

npx agentseed initAGENTS.md (https://agents.md) is a standard file used by AI coding agents to understand a repo (stack, commands, conventions).Agentseed generates it directly from the codebase using static analysis. Optional LLM augmentation is supported by bringing your own API key.Extra

Unique: Extracts and preserves type information from source code to generate agent-consumable function signatures that include parameter types and constraints, not just names

vs others: More precise than simple function name extraction because it includes type information; more reliable than runtime introspection because it works statically without executing code

via “function and class signature extraction with metadata”

Condense source code for LLM analysis by extracting essential highlights, utilizing a simplified version of Paul Gauthier's repomap technique from Aider Chat.

Unique: Extracts function and class signatures with type annotations and docstring summaries, creating a lightweight API reference that LLMs can use for code generation without processing full implementations

vs others: More efficient than sending full code to LLMs because it focuses on callable interfaces and public APIs, while remaining simpler than full IDE-style symbol resolution

Compact, language-agnostic codebase mapper for LLM token efficiency.

Unique: Combines regex-based pattern matching with lightweight context-aware parsing to extract signatures while preserving parameter names, types, and decorators in a structured format that LLMs can directly use for code generation and analysis without additional parsing

vs others: More efficient than running full language-specific compilers or type checkers because it extracts only the interface layer needed for LLM reasoning, reducing overhead while maintaining sufficient detail for code generation and documentation tasks