L42i/SPRAWL
Nov 2024 – Nov 2024
1 Month active
Languages Used
SCSuperColliderYAML
Technical Skills
AnsibleAudio SynthesisGUI DevelopmentNetwork ConfigurationParameter ControlSystem Administration
John Wise
PROFILE
John Wise
In November 2024, JD Wise developed two core features for the L42i/SPRAWL repository, focusing on scalable audio deployment and enhanced user control. He implemented a Jacktrip mesh network deployment using Ansible and YAML, enabling automated management of Jacktrip and SuperCollider processes for dynamic audio synthesis. Additionally, he refined the graphical user interface by simplifying the randomness feature, removing redundant controls, and tuning parameter mappings to improve expressiveness. JD’s work demonstrated depth in system administration, network configuration, and GUI development, delivering robust, repeatable workflows for live-audio environments while prioritizing reliability and maintainability over rapid bug-fix iteration.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
3Total
Bugs
0
Commits
3
Features
2
Lines of code
349
Activity Months1
Your Network
10 peopleSame Organization
@uab.edu3
Work History
November 2024
3 Commits • 2 Features
Nov 1, 2024November 2024 (L42i/SPRAWL) delivered two major feature sets focused on scalable deployment, dynamic audio capabilities, and UX refinements for live-audio workflows. No explicit major bug fixes were documented this month; the emphasis was on robust feature delivery and reliability enhancements that create business value for scalable, repeatable deployments and expressive user control.
3 Commits • 2 Features
Nov 1, 2024November 2024 (L42i/SPRAWL) delivered two major feature sets focused on scalable deployment, dynamic audio capabilities, and UX refinements for live-audio workflows. No explicit major bug fixes were documented this month; the emphasis was on robust feature delivery and reliability enhancements that create business value for scalable, repeatable deployments and expressive user control.
November 2024
Activity
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Quality Metrics
Correctness80.0%
Maintainability80.0%
Architecture66.6%
Performance66.6%
AI Usage20.0%
Skills & Technologies
Programming Languages
SCSuperColliderYAML
Technical Skills
AnsibleAudio SynthesisGUI DevelopmentNetwork ConfigurationParameter ControlSystem Administration
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