Verification and quality gates

Hydra Forge does not consider a library complete until all verification steps have passed.

Verification is explicit, deterministic, and enforced automatically. There are no partial successes and no silent fallbacks.

Verification philosophy

Hydra Forge focuses on producing correct systems, not just build artifacts.

Correctness in this context means:

• Structural integrity
• Consistency between Python and native layers
• Accurate, generated documentation
• Reproducible behavior across environments

Verification is therefore a mandatory phase of the generation process.

Verification invariants

• Verification cannot be bypassed
• All checks must pass for delivery to complete
• Failures abort the process immediately
• No fallback or degraded success states exist

A Hydra Forge delivery is either fully verified or not produced at all.

What is verified

1. Structural integrity

• Expected directories and files exist
• Engine and project boundaries are preserved
• No unexpected artifacts are introduced

2. Static source analysis

• Public APIs are enumerated
• Module visibility is validated
• Structure and imports are reconciled

Analysis is performed without relying on runtime imports or side effects.

3. Native parity validation

• Native modules are correctly exposed to Python
• Runtime documentation strings are present
• Python and native interfaces agree
• Artifacts match declared native sources

4. Inventory and contract validation

Hydra Forge maintains an internal inventory describing modules, bindings, interfaces, and engine components.

• Observed project state must match the inventory
• Missing or extraneous components are detected

5. Test execution

• Hydra Forge engine tests
• Client library tests
• Native integration tests (when applicable)

Test failures abort the process.

Verification output

Verification results are emitted explicitly in terminal output.

• All checks passed
• The system is internally consistent
• The library is safe to extend

This output forms part of the delivery record and can be archived or audited independently.

What verification guarantees

When verification succeeds, Hydra Forge guarantees that:

• The project structure is intentional and coherent
• Python and native layers are aligned
• Documentation reflects the exposed API
• Tests validate both engine and client behavior

Verification does not guarantee scientific correctness. It guarantees correctness of the engineering system.

What verification is not

• Not advisory or best-effort
• Not runtime monitoring
• Not a substitute for scientific validation
• Not an inference of developer intent

Role in long-lived projects

Most failures in long-running scientific systems occur during maintenance, not initial development.

Verification exists to reduce the risk of:

• Structural drift
• Broken native interfaces
• Undocumented or partially exposed APIs
• Loss of confidence over time

The same checks can be re-run as the project evolves, reasserting the same guarantees enforced at generation time.

Summary

Hydra Forge treats verification as a core engineering responsibility.

By enforcing explicit quality gates, the system ensures that delivered libraries remain structurally sound, inspectable, and maintainable over time.