
During April 2025, Hai Pham modernized the RedTeamSubnet/RedTeam repository by delivering two core features focused on scoring fidelity and system maintainability. He implemented an alpha burn scoring mechanism for on-chain validator scores, weighting the owner’s hotkey at 1.0 to better align rewards with ownership. Hai refactored the backend architecture and APIs, introducing a RewardApp built with FastAPI while preserving backward compatibility through app_legacy.py. He updated documentation, including the README, to clarify architecture and workflow for future contributors. Working primarily in Python and JSON, Hai emphasized maintainable code structure, enabling faster iterations and reducing risk for ongoing backend development.

April 2025 monthly summary for RedTeam: Delivered two core features focused on scoring fidelity and system maintainability, with a clear path to scalable future work. Implemented an alpha burn scoring mechanism for on-chain validator scores by weighting the owner's hotkey at 1.0, increasing the impact of alpha burn and improving reward alignment with ownership. Modernized the RedTeam Subnet Rewarding Server: architecture and API refactor, clarified documentation, aligned app.py with the Validator class, and introduced a RewardApp built on FastAPI, plus app_legacy.py to preserve backward compatibility. README updated to document architecture, workflow, and API details. No major bugs reported this month; emphasis on deliverables, documentation, and maintainability to reduce risk and enable faster future iterations.
April 2025 monthly summary for RedTeam: Delivered two core features focused on scoring fidelity and system maintainability, with a clear path to scalable future work. Implemented an alpha burn scoring mechanism for on-chain validator scores by weighting the owner's hotkey at 1.0, increasing the impact of alpha burn and improving reward alignment with ownership. Modernized the RedTeam Subnet Rewarding Server: architecture and API refactor, clarified documentation, aligned app.py with the Validator class, and introduced a RewardApp built on FastAPI, plus app_legacy.py to preserve backward compatibility. README updated to document architecture, workflow, and API details. No major bugs reported this month; emphasis on deliverables, documentation, and maintainability to reduce risk and enable faster future iterations.
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