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
Francisco Mendes developed a Salesforce Object Field Usage Analysis command for the hardisgroupcom/sfdx-hardis repository, focusing on improving performance, reliability, and user experience for Salesforce data analysis. He implemented the feature using TypeScript, leveraging Command Line Interface (CLI) development and WebSocket integration to provide real-time progress updates and enhanced logging during long-running analyses. His approach included optimizing data retrieval through direct Tooling API queries, filtering out system objects, and refining the XLSX export workflow to ensure accurate, reliable reports. These enhancements streamlined data completeness checks and reduced manual analysis, enabling 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
26 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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