Salesforce Technical Debt Analysis
Measure, prioritize, and clean up technical debt in complex, legacy Salesforce environments.
Definition
Salesforce Technical Debt refers to the cost of additional rework caused by choosing easy configuration shortcuts or leaving unused code, fields, and automations in a Salesforce org over time.
Overview & Context
Enterprise Salesforce orgs running for several years often hit custom field limits on Account or Contact, suffer from sluggish trigger execution, or have hundreds of unused metadata types. SF Analyzer queries and visualizes key technical debt indicators locally, giving you the evidence needed to plan a cleanup.
Important Architecture Notice
SF Analyzer strictly enforces the local data boundary. Your Salesforce metadata, credentials, and source files never leave your system.
TL;DR (Too Long; Didn't Read)
Identify system limit bottlenecks, empty fields, and legacy configurations in your Salesforce org to prioritize refactoring.
Key Advantages
- Limit TrackingAlerts you as limits approach Salesforce thresholds (e.g., custom objects count).
- Hub ScoringIdentifies complex components with high dependencies that are risky to change.
- Delta HistoryQuantifies the growth of custom metadata over time via git-backed tags.
Typical Use Case
Strategic planning for Salesforce product owners and tech leads seeking budget or team allocation to refactor legacy org structures.
Analysis Workflow
Download and run the assessment snapshot to query system limit usage across the org.
Retrieve record counts per object to identify low-utilization custom tables.
Review the delta report between deployments to monitor technical debt growth rate.
Highlight heavy dependency hubs (high-score classes or triggers) that represent single points of failure.
How It Compares
Compare the secure local-first workflow against traditional cloud-based SaaS vendors.
| Assessment Metric | Manual Spreadsheet Audit | SF Analyzer Debt Audit |
|---|---|---|
| System Limit Checks | Requires checking dozens of Setup pages | Single consolidated report updated in real-time |
| Unused Tables | Manual queries on individual objects | Aggregated SObject record counts in a sortable list |
| Change Over Time | Requires historical comparison documents | Automatic Git diffs between historical snapshot tags |
| Complexity Score | Subjective assessment by developers | Calculated dependency degree and Hub score per component |
Frequently Asked Questions
Find answers to technical and operational questions about Salesforce Technical Debt Analysis.
Q:How does the tool help clean up custom fields?
By combining metadata presence reports with dependency analysis, you can quickly find custom fields that have zero dependencies in Apex, Validation Rules, or Flows, highlighting them as candidates for deprecation.
Q:Can I track limits across multiple sandboxes?
Yes. You can connect multiple orgs (e.g., Dev, UAT, Production) in the app. SF Analyzer stores separate databases and snapshots for each, enabling cross-org limit comparison.
Ready to assess your Salesforce Org?
Download the SF Analyzer desktop application. Connect your sandbox or production org via the CLI, and run the assessment 100% locally.