Documentation ‐ Development Process and Structure
Andrew Briscoe edited this page 2024-08-15 17:10:05 +08:00

Orchestration Architect Development Process

Overview

The Orchestration Architect utilizes principles from category theory to ensure the managed evolution of its pristine state. This state contains core meta-components capable of self-modification and ensuring consistency across the components.

Patch Generation Process

  • Diff Generation: Perform a diff at the end of the bootstrap process to capture the changes necessary to establish the updated pristine state.
  • Commit Patch: Commit the generated diff as a patch to the -pristine branch to keep the pristine state current with the latest modifications.

Branch Definitions

  • <version>-initial: The initial branch containing an empty commit, serving as the foundational starting point.
  • <version>-seed: Comprises essential files and bootstrap instructions, acting as the initial setup. This branch is independent and is used as the starting point for the bootstrap process.
  • <version>-pristine: Represents the system's pristine state, capable of generating and evolving the rest of the system components through self-modification and adherence to universal properties.
  • Bootstrap Workspace: A temporary environment created to execute the bootstrap process, transforming the seed instructions into the updated pristine state.

Category Theory Integration and Applied Principles

Separate Categories: Treat the seed and pristine branches as distinct categories. The seed branch serves merely as the start, while functorial mappings ensure transformations from the bootstrap process to the pristine state preserve structural integrity and properties.

Structure-Preserving Functors: Ensure that every transformation (commit) in the seed branch maps to a corresponding transformation in the pristine state, maintaining consistency. Rationale and Benefits

Consistency: Ensures systematic and consistent updates to the pristine state using structure-preserving transformations.

Clarity: Clearly separates the initial instructions (seed) from the fully processed pristine state, making tracing and managing changes straightforward.

Automation: Automates the generation and application of patches to the pristine state, ensuring reliability and accuracy.

Adaptability: The pristine state can serve as the basis for generating new versions, enabling efficient evolution and management of the project's history.

Conclusion

The Orchestration Architect’s branching strategy, grounded in category theory, provides a clear and robust framework for managed evolution. The Patch Pristine Playbook facilitates systematic updates, preserving the system’s structural integrity and ensuring consistency across all generated components. This approach allows for efficient and transparent transformations, maintaining both theoretical rigor and practical efficacy in the development process.