Traditional build systems like Bazel and CMake demand static dependency graphs, but AI coding assistants generate code dynamically across multiple languages. This mismatch forces developers into manual configuration and hacky workarounds, creating a bottleneck where AI writes code in seconds but builds take hours to set up.

bldr addresses this by automatically detecting 28 languages—from Rust and Go to Python and TypeScript—without any configuration. It generates most of its own build files by scanning your codebase, then adapts its dependency graph at runtime as AI agents create new modules or protobuf definitions generate output files.

The tool features a self-documenting CLI where AI assistants can query features using natural language. It also employs Bayesian modeling to distinguish flaky tests from genuinely broken ones. Built for speed, it parses code 98x faster than alternatives and optimizes build plans across both cost and time dimensions.