I Built a Salesforce Org Audit Tool With Claude Code and Zero Lines of Code
Summary
This article demonstrates how AI-assisted development with Claude Code can rapidly build a comprehensive Salesforce org audit tool in just a few hours. The tool assesses nine critical domains of org health—from security to automation and naming conventions—and provides a scored report with actionable insights. It addresses the common problem of silent org technical debt and manual audit inefficiency by automating continuous org health checks while ensuring data privacy. Salesforce professionals can try this open-source tool easily to quantify and improve their org’s health with zero coding required.
Takeaways
- Run automated org audits covering 9 domains including security, data quality, and automation health.
- Use the composite Org Health Score to communicate status clearly to stakeholders.
- The tool is read-only and runs locally, preserving org data privacy and safety.
- Customize audit domain weights and naming conventions via local config files.
- Begin running audits on sandboxes before production to review findings safely.
Here is what a few focused hours of AI-assisted development actually looks like. Let me show you something that changed how I think about building tools. Salesforce is where I spend most of my time. I direct projects, make architecture decisions, and write code when needed. So the question I wanted to answer was straightforward: could I use Claude Code to build a complete, production-worthy tool faster than I ever could alone? The answer was yes. And the tool is live on GitHub right now. Here is the full story: what I set out to prove, what the tool does, how it keeps your org data safe, and how you can run it today. The tool its not perfect, its work in progress and it can always be improved The Goal: Build Something Real Let me be direct about what I was testing. The promise of AI-assisted development is that the distance between 34;I have an idea34; and 34;the idea exists as working software34; is getting much shorter.