Discover the BHIL methodology

The BHIL (Barry Hurd Innovation Lab) AI-First Development Toolkit offers a structured methodology for developing AI-first projects, prioritizing clear specifications as the source of truth. This approach emphasizes a systematic process for defining requirements, architecting solutions, and managing implementation.

The methodology outlines "Three Foundational Laws": specifications are paramount, agent questions highlight specification gaps, and non-determinism is an accepted reality requiring probabilistic acceptance criteria. It introduces a command-line interface with subcommands like `init` for project setup, `prd` for creating Product Requirements Documents, and `spec` for generating Technical Specifications from PRDs.

Further commands include `adr` for documenting Architecture Decisions, `task` for breaking down specifications into manageable agent-sized tasks, `prompt` for versioning prompts, and `eval` for creating evaluation suites. The system also includes `status` for tracking artifact chains and `review` for code verification against specifications.

BHIL promotes a strict lifecycle for artifacts, unique traceability IDs, and immutable Architecture Decision Records. It advocates for quantifiable acceptance criteria and version-controlled prompts, with a strong emphasis on eval-driven development. The model allocates significant time to specifications (40%) and review (35%), with less on implementation (10%), ensuring robust and well-defined AI systems.