Show HN: Latent-k – Persistent dependency map to reduce AI coding token usage (www.latentk.org)

Latent-K has launched a tool designed to optimize the interaction between AI coding assistants and codebases by creating a persistent dependency map. This utility automatically analyzes the structure and relationships within a project, enabling the AI to inject relevant context into coding sessions seamlessly. By mapping imports, exports, and file dependencies, Latent-K ensures that the AI comprehends the connections within the code, allowing it to predict potential breakages before any modifications are made. This innovation is significant for the AI/ML community as it streamlines the coding process, reducing token usage and enhancing the responsiveness of AI systems like Claude Code and Gemini. The smart context injection, which follows a straightforward setup involving just a few commands, minimizes extraneous information and focuses solely on pertinent code. This efficiency not only lowers operational costs but also improves the speed at which developers can receive accurate coding assistance, revolutionizing the way AI tools can be utilized in software development.