How AI Learned to Investigate Mobile Build Failures Like an Experienced Support Engineer
Summary
Salesforce’s Mobile CI/CD team built Analyze Build Tools, an AI system that investigates mobile build failures like an expert support engineer, reducing incident resolution time by 60% and debugging effort by 75%. It automates complex failure root cause analysis across infrastructure, application code, and external platform changes, enabling hundreds of developers to self-serve troubleshooting. The AI replicates expert investigative reasoning rather than raw data parsing and is evolving toward proactive issue detection and prioritized alerts, boosting developer productivity and platform stability.
Takeaways
- Leverage AI to replicate expert troubleshooting for mobile CI/CD build failures.
- Use investigative hypotheses instead of dashboards to diagnose build issues.
- Automate cross-system log correlation to identify failure root causes quickly.
- Implement proactive AI alerts to prevent build failures before impacting developers.
- Scale support efficiency by enabling developer self-service investigations.
In our Engineering Energizers Q&A series, we highlight the engineering minds driving innovation across Salesforce. Today, we spotlight Archana Indran, Senior Engineering Manager for Mobile CI/CD. Archana’s team built Analyze Build Tools, a growing system of AI-powered investigative skills that analyzes mobile CI/CD build failures the way an experienced support engineer would. The Mobile CI/CD team is the central mobile build platform at Salesforce, powering managed pipelines for iOS and Android apps and SDKs across 60+ customer repositories spanning products like the Salesforce App, Mobile Field Service , Mobile Publisher apps (branded apps for digital experience sites), Tableau Mobile , Industries Mobile applications and Q3/Q4 Mobile testing pipelines to name a few, which serve hundreds of mobile engineers across Salesforce.