Library architecture

FalconSmith encodes responsibility, boundaries, and verification directly into project structure and a manifest-driven system. No part of the public API, native exposure, or documentation is inferred at runtime.

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 into a consistent and validated system state.

Native code is exposed into Python through a dedicated portal layer, which acts as the boundary between compiled artifacts and the Python API. This exposure is defined explicitly through manifests and does not rely on runtime inspection or implicit binding.

Design constraints

FalconSmith 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, FalconSmith reduces reliance on undocumented assumptions and enables safe evolution over the lifetime of the codebase.

In FalconSmith, structure is never inferred. It is always generated, validated, and enforced mechanically.

Execution baseline

FalconSmith 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, embedded toolchains, and a fully offline execution model.

By constraining the execution environment, FalconSmith 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.