Sigma-Skidder-Team/SigmaRebase
Feb 2025 – Mar 2026
8 Months active
Languages Used
JavaMarkdown
Technical Skills
Backend DevelopmentBug FixClient-Side LogicClient-Side ModdingClient-Side NetworkingClient-Side Programming
StormingMoon
PROFILE
Stormingmoon
Over eight months, this developer contributed to SigmaRebase by engineering advanced client-side automation, AI-driven combat modules, and robust backend workflows for Minecraft modding. Their work included integrating reinforcement learning into combat logic, implementing configurable modules like KillAuraOG, and enhancing cross-version compatibility through careful packet handling and rendering updates. They improved user experience with asynchronous skin loading, token-based authentication, and streamlined resource pack creation. Using Java, OpenGL, and GitHub Actions, they focused on maintainable code, automated build pipelines, and error handling. Their approach emphasized stability, modularity, and test coverage, enabling faster iteration and reliable deployment across evolving game protocols.
Overall Statistics
Feature vs Bugs
58%Features
Repository Contributions
84Total
Bugs
20
Commits
84
Features
28
Lines of code
1,713,120
Activity Months8
Your Network
6 peopleShared Repositories
6
Work History
March 2026
6 Commits • 5 Features
Mar 1, 2026March 2026 focused on delivering core features, strengthening user authentication, enhancing visuals/performance, and aligning branding for Sigma Remake. Highlights include a configurable KillAura cooldown to balance gameplay, a more reliable reconnect workflow, and token-based login UI with backend validation. Additional improvements encompass asynchronous skin loading with AltManager, single-player resource pack creation enhancements, and branding/documentation updates to reflect Sigma Remake from Sigma Rebase. These efforts collectively improved user experience, system reliability, and developer efficiency while enabling streamlined onboarding and branding continuity.
6 Commits • 5 Features
Mar 1, 2026March 2026 focused on delivering core features, strengthening user authentication, enhancing visuals/performance, and aligning branding for Sigma Remake. Highlights include a configurable KillAura cooldown to balance gameplay, a more reliable reconnect workflow, and token-based login UI with backend validation. Additional improvements encompass asynchronous skin loading with AltManager, single-player resource pack creation enhancements, and branding/documentation updates to reflect Sigma Remake from Sigma Rebase. These efforts collectively improved user experience, system reliability, and developer efficiency while enabling streamlined onboarding and branding continuity.
March 2026
February 2026
7 Commits • 3 Features
Feb 1, 2026February 2026 (2026-02) — SigmaRebase delivered business-focused enhancements and stability improvements, enabling faster releases, better client feature management, and more reliable gameplay across legacy protocols. Key outputs include automated build/release workflow with issue-reporting templates and client commands; 1.9-compatible Killaura with corrected packet order; improved initial position reporting and update throttling for legacy protocols; streamlined Combat Module for maintainability; and ChestStealer Smart Mode with distance-based delays for human-like timing. These changes reduce release friction, improve runtime reliability, and support safer, higher-velocity feature iteration.
February 2026
7 Commits • 3 Features
Feb 1, 2026February 2026 (2026-02) — SigmaRebase delivered business-focused enhancements and stability improvements, enabling faster releases, better client feature management, and more reliable gameplay across legacy protocols. Key outputs include automated build/release workflow with issue-reporting templates and client commands; 1.9-compatible Killaura with corrected packet order; improved initial position reporting and update throttling for legacy protocols; streamlined Combat Module for maintainability; and ChestStealer Smart Mode with distance-based delays for human-like timing. These changes reduce release friction, improve runtime reliability, and support safer, higher-velocity feature iteration.
November 2025
1 Commits • 1 Features
Nov 1, 2025Month 2025-11 performance summary for SigmaRebase: Delivered core game client state management and command handling, standardized issue intake through templates, and established a robust JAR build/release workflow with versioning and artifact management. Addressed a Maven pom.xml issue and added LWJGL Arm64 support, enhancing platform compatibility and release reliability. These efforts improved user experience, release confidence, and development efficiency.
1 Commits • 1 Features
Nov 1, 2025Month 2025-11 performance summary for SigmaRebase: Delivered core game client state management and command handling, standardized issue intake through templates, and established a robust JAR build/release workflow with versioning and artifact management. Addressed a Maven pom.xml issue and added LWJGL Arm64 support, enhancing platform compatibility and release reliability. These efforts improved user experience, release confidence, and development efficiency.
November 2025
July 2025
4 Commits • 1 Features
Jul 1, 2025July 2025 performance summary for SigmaRebase (Sigma-Skidder-Team). Focused on delivering reliable BlockFly NCP mode improvements and hardening command usability, resulting in higher gameplay reliability and developer confidence. Key work included enhancing item placement and spoofing logic, addressing spoof flags, and stabilizing the .bind command through robust module name matching. These changes reduce edge-case failures, improve stealth in NCP mode, and streamline configuration workflows.
July 2025
4 Commits • 1 Features
Jul 1, 2025July 2025 performance summary for SigmaRebase (Sigma-Skidder-Team). Focused on delivering reliable BlockFly NCP mode improvements and hardening command usability, resulting in higher gameplay reliability and developer confidence. Key work included enhancing item placement and spoofing logic, addressing spoof flags, and stabilizing the .bind command through robust module name matching. These changes reduce edge-case failures, improve stealth in NCP mode, and streamline configuration workflows.
June 2025
2 Commits • 1 Features
Jun 1, 2025June 2025 monthly summary for SigmaRebase: Delivered the KillAuraOG Combat Automation Module with extensive configuration for targeting, blocking, and rotation to automate entity attacks. Ported OGKillAura into KillAuraOG and performed subsequent refactors to improve readability and timing initialization. Fixed multiple errors to stabilize the automation workflow. The work establishes a configurable, maintainable automation foundation, enabling faster iteration and reduced manual intervention for in-game combat automation.
2 Commits • 1 Features
Jun 1, 2025June 2025 monthly summary for SigmaRebase: Delivered the KillAuraOG Combat Automation Module with extensive configuration for targeting, blocking, and rotation to automate entity attacks. Ported OGKillAura into KillAuraOG and performed subsequent refactors to improve readability and timing initialization. Fixed multiple errors to stabilize the automation workflow. The work establishes a configurable, maintainable automation foundation, enabling faster iteration and reduced manual intervention for in-game combat automation.
June 2025
May 2025
23 Commits • 5 Features
May 1, 2025Month: 2025-05 | SigmaRebase: Key features delivered include JelloAI core system and behavior improvements (V1 implementation, RL integration, rotation improvements, alpha/beta iterations, and accuracy enhancements) and NewAura GCD development with related updates (NewAura GCD, Update NewAura.java) plus test scaffolding. Major bugs fixed include Nametags rendering fix, AltManager stability improvements, default settings persistence, removal of deprecated MovementFix option on Killaura/Blockfly, Aim Y UI alignment fix, and Autosprint GCDFix integration, with rollbacks used to restore a stable baseline. Overall impact: increased AI decision quality, improved stability and UX, and stronger test coverage enabling faster iterations. Technologies/skills demonstrated: reinforcement learning integration, advanced game AI behavior, GCD calculation logic, test scaffolding, code cleanup, and configuration simplification.
May 2025
23 Commits • 5 Features
May 1, 2025Month: 2025-05 | SigmaRebase: Key features delivered include JelloAI core system and behavior improvements (V1 implementation, RL integration, rotation improvements, alpha/beta iterations, and accuracy enhancements) and NewAura GCD development with related updates (NewAura GCD, Update NewAura.java) plus test scaffolding. Major bugs fixed include Nametags rendering fix, AltManager stability improvements, default settings persistence, removal of deprecated MovementFix option on Killaura/Blockfly, Aim Y UI alignment fix, and Autosprint GCDFix integration, with rollbacks used to restore a stable baseline. Overall impact: increased AI decision quality, improved stability and UX, and stronger test coverage enabling faster iterations. Technologies/skills demonstrated: reinforcement learning integration, advanced game AI behavior, GCD calculation logic, test scaffolding, code cleanup, and configuration simplification.
March 2025
3 Commits • 3 Features
Mar 1, 2025March 2025 summary: Implemented targeted performance and reliability improvements in SigmaRebase. Key features delivered include sprint/timer performance refinements, a three-mode UpdatedNCP speed module, and a reliability-focused ChestStealer refactor. These changes enhance user experience through smoother movement, better on-ground control, and more dependable chest identification, reducing edge cases and run-time errors. The work demonstrates skills in movement/physics tuning, modular design, and robust in-range object detection, with direct business value in stability and user satisfaction.
3 Commits • 3 Features
Mar 1, 2025March 2025 summary: Implemented targeted performance and reliability improvements in SigmaRebase. Key features delivered include sprint/timer performance refinements, a three-mode UpdatedNCP speed module, and a reliability-focused ChestStealer refactor. These changes enhance user experience through smoother movement, better on-ground control, and more dependable chest identification, reducing edge cases and run-time errors. The work demonstrates skills in movement/physics tuning, modular design, and robust in-range object detection, with direct business value in stability and user satisfaction.
March 2025
February 2025
38 Commits • 9 Features
Feb 1, 2025February 2025 SigmaRebase monthly summary: Focused on stability, cross-version compatibility, and performance for automated combat/movement tooling. Delivered core feature refinements and extensive bug fixes across packet handling, scaffolding, and rendering to improve reliability and cross-version support. Key outcomes include safer packet processing, smoother scaffolding experiences, and broader client-version compatibility, enabling more reliable deployments and user workflows.
February 2025
38 Commits • 9 Features
Feb 1, 2025February 2025 SigmaRebase monthly summary: Focused on stability, cross-version compatibility, and performance for automated combat/movement tooling. Delivered core feature refinements and extensive bug fixes across packet handling, scaffolding, and rendering to improve reliability and cross-version support. Key outcomes include safer packet processing, smoother scaffolding experiences, and broader client-version compatibility, enabling more reliable deployments and user workflows.
Activity
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Quality Metrics
Correctness80.0%
Maintainability82.0%
Architecture74.0%
Performance74.4%
AI Usage27.4%
Skills & Technologies
Programming Languages
JavaMarkdown
Technical Skills
AI IntegrationAI/MLAI/Machine LearningAnti-Cheat BypassBackend DevelopmentBug FixClient-Server ArchitectureClient-Server InteractionClient-Side DevelopmentClient-Side LogicClient-Side ModdingClient-Side NetworkingClient-Side ProgrammingClient-Side RenderingClient-side Modding
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