Library architecture

Hydra Forge encodes responsibility, boundaries, and verification directly into project structure and engine behavior.

Architecture sections

• Project structure
  Filesystem layout as an explicit encoding of responsibility, boundaries, and long-term maintainability.
• Native integration
  Structure, build, exposure, and verification of native code (C++ and Rust in the current baseline) as first-class components.
• Engine workflow
  Closed-loop operations that reconcile structure, native code, namespaces, and documentation over time.

Design constraints

Hydra Forge treats architecture as an enforceable engineering constraint, not a stylistic preference.

Structure, boundaries, and contracts are enforced because scientific software often outlives its original authors and must remain correct under continuous change.

By making architecture explicit, Hydra Forge reduces reliance on undocumented assumptions and enables safe evolution over the lifetime of the codebase.

Execution baseline

Hydra Forge operates against a deliberately fixed execution baseline to guarantee deterministic behavior across native builds, virtual environments, and documentation generation.

The current baseline targets modern Windows systems using an embedded CPython runtime and a fully offline execution model.

By constraining the execution environment, Hydra Forge eliminates entire classes of variability that commonly undermine reproducibility in scientific Python libraries - particularly around native extensions.

Additional platforms and language extensions are evaluated against the same non-negotiable requirements for determinism, reproducibility, offline execution, and native build verification before being introduced.