One of the biggest challenges in AI-assisted development isn't choosing the right model.
It's providing the right context.
As codebases grow, important information gets scattered across files, commits, architecture decisions, documentation, and debugging history. Developers spend valuable time manually gathering context before they can effectively use AI tools.
That's why I built TokenCap.
TokenCap helps developers generate structured, AI-ready project context from their codebase, making it easier for AI assistants to understand projects without consuming unnecessary tokens.
