buster-so/buster
Jul 2025 – Jul 2025
1 Month active
Languages Used
JavaScriptSQLTypeScript
Technical Skills
AI Agent DevelopmentAI DevelopmentAI Prompt EngineeringChart ConfigurationCode GenerationCode Refactoring
Jacob Anderson
PROFILE
Jacob Anderson
Worked on the buster-so/buster repository to deliver two core features focused on analytics and AI-driven data processing. Developed orientation-agnostic bar chart rendering with fixed axis rules, enabling the chart builder to handle both vertical and horizontal layouts while optimizing performance through precomputed metrics. Enhanced AI agent instructions by updating prompt engineering, introducing new assumption categories, and enforcing native SQL constructs for safer automatic query generation. Addressed horizontal bar chart rendering issues to improve reliability of analytics visuals. Utilized JavaScript, TypeScript, and SQL, applying skills in AI development, data analysis, and front-end engineering to increase speed and safety of insights.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
5Total
Bugs
0
Commits
5
Features
2
Lines of code
148
Activity Months1
Your Network
7 peopleShared Repositories
7
Work History
July 2025
5 Commits • 2 Features
Jul 1, 2025July 2025 performance summary for buster (buster-so/buster). Delivered two core features, stabilized chart rendering, and enhanced AI-assisted data analysis and SQL safety. Key business value includes orientation-agnostic bar charts with precomputed metrics speeding analytics, and safer, more robust automatic query generation. Horizontal bar rendering issues were resolved to improve reliability of analytics visuals. These efforts increased reliability, speed of data insights, and safety of automated queries.
5 Commits • 2 Features
Jul 1, 2025July 2025 performance summary for buster (buster-so/buster). Delivered two core features, stabilized chart rendering, and enhanced AI-assisted data analysis and SQL safety. Key business value includes orientation-agnostic bar charts with precomputed metrics speeding analytics, and safer, more robust automatic query generation. Horizontal bar rendering issues were resolved to improve reliability of analytics visuals. These efforts increased reliability, speed of data insights, and safety of automated queries.
July 2025
Activity
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Quality Metrics
Correctness84.0%
Maintainability84.0%
Architecture84.0%
Performance72.0%
AI Usage76.0%
Skills & Technologies
Programming Languages
JavaScriptSQLTypeScript
Technical Skills
AI Agent DevelopmentAI DevelopmentAI Prompt EngineeringChart ConfigurationCode GenerationCode RefactoringData AnalysisDatabase OptimizationDocumentationFront-end DevelopmentNatural Language ProcessingPrompt EngineeringSQL
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