hardisgroupcom/sfdx-hardis
Dec 2025 – Dec 2025
1 Month active
Languages Used
TypeScript
Technical Skills
Command Line Interface (CLI) DevelopmentData AnalysisSalesforce DevelopmentWebSocket Integration
Fernando Fernandez
PROFILE
Fernando Fernandez
Developed a Salesforce Object Field Usage Analysis feature for the hardisgroupcom/sfdx-hardis repository, focusing on enhancing data analysis and developer experience. Leveraging TypeScript and Command Line Interface (CLI) development, the work introduced a new command that analyzes field usage and data completeness, optimizing performance by querying the Tooling API directly and filtering system objects. The implementation improved XLSX export reliability through file sanitization and unique worksheet handling, while real-time progress updates were enabled via WebSocket integration. These enhancements streamlined manual analysis, provided clearer user feedback, and strengthened API usability, supporting more efficient, data-driven decisions for Salesforce development teams.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
768
Activity Months1
Your Network
28 peopleWork History
December 2025
1 Commits • 1 Features
Dec 1, 2025December 2025: Delivered a major enhancement to the Salesforce object analysis tooling with Object Field Usage Analysis, delivering performance, reliability, and UX improvements. Achieved robust export workflows, improved data quality checks, and added visibility into long-running tasks via WebSocket progress updates. These changes enable data-driven decisions around object field usage and data completeness, reducing manual analysis time and improving developer experience.
1 Commits • 1 Features
Dec 1, 2025December 2025: Delivered a major enhancement to the Salesforce object analysis tooling with Object Field Usage Analysis, delivering performance, reliability, and UX improvements. Achieved robust export workflows, improved data quality checks, and added visibility into long-running tasks via WebSocket progress updates. These changes enable data-driven decisions around object field usage and data completeness, reducing manual analysis time and improving developer experience.
December 2025
Activity
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Quality Metrics
Correctness80.0%
Maintainability80.0%
Architecture80.0%
Performance80.0%
AI Usage40.0%
Skills & Technologies
Programming Languages
TypeScript
Technical Skills
Command Line Interface (CLI) DevelopmentData AnalysisSalesforce DevelopmentWebSocket Integration
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