Autonomous DevOps for Salesforce
AI Agents, Self-Healing Pipelines, and the Future of Release Engineering — How engineering-driven teams are cutting release time by 70% and eliminating manual QA entirely.
The Reality Check! You've invested in CI/CD. You've built pipelines. And release velocity hasn't budged in years. Here's why:
CI/CD ≠ DevOps: Tools don't solve process problems. Most teams confuse pipeline setup with actual DevOps maturity — and wonder why releases still take weeks.
Manual Approval Bottlenecks: Every deployment waits on someone. Code freezes, change advisory boards, and sign-off chains turn hours into days.
QA Debt Compounds: Test coverage falls behind every sprint. Technical debt in QA becomes the invisible tax on every release cycle.
Org Drift Across Environments: Multiple production-like orgs create metadata inconsistencies nobody has time to reconcile — until deployment fails.
The Complete Agenda
60 minutes of tactical insights, live demos, and a panel discussion on the future of Salesforce release engineering.
Why DevOps Is Broken in Salesforce
CI/CD ≠ DevOps: The missing pieces
Release velocity hasn't improved in 10 years
The shift from "people-heavy" to "AI-heavy" teams
Self-Healing Pipelines
Drift detection + automated remediation
AI-assisted merge conflict resolution
LLM-based risk scoring
Auto-promotion decision engines
Autonomous QA
LLM-generated test cases from user stories
Scriptless UI test generation
Test healing when selectors change
AI review of Apex code quality
Agentforce in DevOps
Release Agent: Plans, schedules, validates
Org Hygiene Agent: Cleans unused metadata
Incident Response Agent: Reads logs + suggests fixes
Security Agent: Scans for misconfigurations
Release velocity hasn't improved in a decade. That changes now.