Bito AI Architect boosts Claude Opus efficiency by 35%

An independent study by The Context Lab found that deep context of the codebase is critical for agent success. Bito’s AI Architect system increases Claude Opus’s task success rate by 35% on complex repositories.

The largest gain is seen in long-horizon planning tasks that require considering file dependencies. While regular models lose accuracy as project scale grows, AI Architect maintains stability by building a knowledge graph from commits, documentation, and past solutions.

This complements recent Claude Code updates where Anthropic focused on direct file analysis. Bito’s solution works through the MCP protocol, ensuring data security without training models on user code.