My research has build errors now and honestly should have always worked this way (github.com)

A new command-line interface (CLI) tool called Wheat has been introduced to enhance AI-driven decision-making processes by turning coding tools into structured research engines. Wheat ensures that every claim made during a project is typed and evidence-graded, utilizing a sophisticated seven-pass compiler to detect contradictions, assess evidence quality, and prevent the generation of output until all issues are resolved. This tool is designed to support teams in making data-driven decisions rather than relying on vague intuitions, especially during significant migrations or architectural changes, like the move to GraphQL. The significance of Wheat lies in its ability to formalize the decision-making process within AI and software development, paralleling the practices of continuous integration in coding. By integrating Wheat into workflows, developers can create evidence-based decision documents effortlessly, detecting conflicts and evidence gaps through simple commands. Features like a Git pre-commit hook and direct integration with Claude Code emphasize its practical applicability across different programming environments. Ultimately, Wheat aims to strengthen the foundation of AI-driven development by enforcing validated evidence accumulation, ensuring that decisions stand up to rigorous scrutiny before implementation.