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Tampere University
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Enforcing classical test-driven development principles directly within prompt orchestration enables more reliable and reproducible code generation from LLMs.
Governance-aware AI sandboxes can enable structured experimentation and reusable evaluation evidence, but require careful design of layered architectures to separate concerns like multi-tenancy, control, and data management.
Governance mechanisms for GenAI, intended to ensure trust and transparency, ironically increase energy consumption – unless you implement Carbon-Aware Governance Gates (CAGG).
