Skip to main content
Back to projects
Active

Agentic Salesforce Deployment Framework

Built a repeatable, AI-assisted deployment system using Antigravity and Claude to manage Salesforce metadata changes — replacing ad hoc change sets with a structured review and security-gated deployment pipeline.

salesforceclaudeantigravitydevopsautomation

Without a dedicated developer, Salesforce deployments at Builder's Vision were a liability — ad hoc, undocumented, and one misconfigured change set away from a production incident. The risk wasn't incompetence; it was the absence of any repeatable structure.

The Problem

Every deployment was a judgment call with no paper trail. New apps being evaluated for connection to production had no formal review gate — they went in if they seemed fine. That's not a defensible position for a company handling sensitive customer data across two active orgs simultaneously.

What I Built

Using Antigravity's deployment tooling and Claude as the reasoning layer, I designed a deployment framework that introduces a structured review and pressure-testing phase before any change reaches production. New integrations and apps are evaluated against a defined criteria set — security posture, permission scope, data access — before connection is approved.

The system generates repeatable deployment artifacts rather than relying on manual change set assembly, and maintains a deployment history that didn't previously exist. Claude handles review synthesis: given a changelog and a criteria set, it surfaces risks and gaps that a time-pressured manual review is likely to miss.

Outcome

Deployments became traceable and consistent. The security review gate meant no new app connected to production without documented approval. Operating across two orgs simultaneously, the framework reduced the mental overhead of context-switching by standardizing the process regardless of which org was the target.