
Francisco Mendez contributed to the heroiclabs/hiro and heroiclabs/nakama repositories by building and enhancing backend systems focused on API reliability, personalization, and scalable game features. Over six months, he delivered features such as batch energy processing, customizable leaderboard scoring, and challenge-driven storage, using Go, gRPC, and Protobuf to ensure maintainable and forward-compatible APIs. His work included designing new RPCs, updating schemas, and refining system interfaces to support efficient data access and flexible workflows. By aligning code with evolving business needs and maintaining backward compatibility, Francisco demonstrated depth in backend development and a strong focus on robust, testable engineering solutions.
April 2026: HeroicLabs Hiro delivered Nakama Leaderboard Enhancements with new RPCs for listing and updating scores, enhanced personalization features, and schema updates that align with event leaderboard conventions. The work provides business value by enabling richer, personalized leaderboards and more flexible scoring while improving reliability and client integration through API/schema upgrades.
April 2026: HeroicLabs Hiro delivered Nakama Leaderboard Enhancements with new RPCs for listing and updating scores, enhanced personalization features, and schema updates that align with event leaderboard conventions. The work provides business value by enabling richer, personalized leaderboards and more flexible scoring while improving reliability and client integration through API/schema upgrades.
Concise monthly summary for 2025-11 focused on feature delivery in heroiclabs/hiro, with notes on business value and technical achievements.
Concise monthly summary for 2025-11 focused on feature delivery in heroiclabs/hiro, with notes on business value and technical achievements.
October 2025 monthly summary for heroiclabs/hiro focusing on delivering scalable energy processing and code quality improvements. Key output is enabling batch energy deductions across multiple users via a new BatchSpend method added to the EnergySystem interface, laying groundwork for improved gameplay throughput and reduced API call overhead.
October 2025 monthly summary for heroiclabs/hiro focusing on delivering scalable energy processing and code quality improvements. Key output is enabling batch energy deductions across multiple users via a new BatchSpend method added to the EnergySystem interface, laying groundwork for improved gameplay throughput and reduced API call overhead.
Sept 2025 monthly summary for heroiclabs/hiro: Delivered two user-facing features with a focus on data access, lifecycle management, and code health. Implemented Team Get by ID RPC API with new TeamGetRequest definitions and protobuf updates; regenerated code post-rebase to incorporate the new RPC ID. Added Delete Item Instances by Instance ID capability, including protobuf and Go code refactors to support removal of item instances. No high-severity bugs reported; emphasis on API stability and test alignment. Overall impact includes improved team data retrieval, safer item lifecycle operations, and faster development feedback loops. Technologies/skills demonstrated include protobuf design/updates, RPC API design, Go code refactoring, and protobuf generated code regeneration; strong emphasis on maintainability and build consistency.
Sept 2025 monthly summary for heroiclabs/hiro: Delivered two user-facing features with a focus on data access, lifecycle management, and code health. Implemented Team Get by ID RPC API with new TeamGetRequest definitions and protobuf updates; regenerated code post-rebase to incorporate the new RPC ID. Added Delete Item Instances by Instance ID capability, including protobuf and Go code refactors to support removal of item instances. No high-severity bugs reported; emphasis on API stability and test alignment. Overall impact includes improved team data retrieval, safer item lifecycle operations, and faster development feedback loops. Technologies/skills demonstrated include protobuf design/updates, RPC API design, Go code refactoring, and protobuf generated code regeneration; strong emphasis on maintainability and build consistency.
August 2025 monthly summary for heroiclabs/hiro. Focused on delivering storage personalization enhancements to support challenges, paving the way for challenge-driven player experiences and analytics. Implemented a new challenges key in the storage personalizer, extended the upload payload to carry challenge data, and added retrieval support via GetValue. This work is backed by commit b92ac50d145b803ddbf7333f420b94c4fb6f83de (storage personalizer challenges (#103)).
August 2025 monthly summary for heroiclabs/hiro. Focused on delivering storage personalization enhancements to support challenges, paving the way for challenge-driven player experiences and analytics. Implemented a new challenges key in the storage personalizer, extended the upload payload to carry challenge data, and added retrieval support via GetValue. This work is backed by commit b92ac50d145b803ddbf7333f420b94c4fb6f83de (storage personalizer challenges (#103)).
March 2025: Focused on stabilizing event discovery mechanisms in Nakama; delivered a critical bug fix for LiveEventsList to accumulate multiple 'names' in query parameters, enabling single-call retrieval of multiple live events and improving API reliability. Included alignment with existing clients and ensured backward compatibility through code review and validation.
March 2025: Focused on stabilizing event discovery mechanisms in Nakama; delivered a critical bug fix for LiveEventsList to accumulate multiple 'names' in query parameters, enabling single-call retrieval of multiple live events and improving API reliability. Included alignment with existing clients and ensured backward compatibility through code review and validation.

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