AI tools like Agentforce Vibes, Copilot, and Cursor are helping Salesforce teams develop and innovate faster. But poorly managed AI development can exacerbate existing challenges, like poor quality changes, technical debt, and CI/CD bottlenecks.
In this webinar, DevOps Architect Sam Crossland explains how leaders can combine AI-assisted development with robust governance to move fast and stay in control. You’ll learn how to use guardrails to preserve code quality, maintain compliance, and scale AI-driven delivery with confidence.
This session will cover:
- The Salesforce-specific risks (and blind spots) AI can introduce.
- Code review considerations to help catch risky AI changes.
- The dangers of using AI tools to review AI code and the need for deterministic code reviews.
- Where and how to shift left and implement quality gates in your process.
- The tools that help teams scale AI safely, including Gearset Code Reviews.
By the end of the session, you’ll have a clear framework for responsible AI adoption in Salesforce: how to scale AI safely, reduce risk, and ensure every change is reviewable, auditable, and high quality.
