More changes, from more sources, faster. What that means for teams running their own tooling.
More changes, from more sources, faster. What that means for teams running their own tooling.
Many Salesforce teams built their own release process, and for good reasons. Scripts, the Salesforce CLI and CI tools like GitHub Actions gave them control and flexibility, and for a while it worked well.
But AI is helping developers write more code, faster. Teams are growing, orgs are multiplying, and more people need to ship changes safely. Getting a change from a branch to production is the easy part. What sits underneath — keeping environments in sync, running long projects alongside daily releases, reviewing everything that ships — is where custom pipelines take the most effort to build and keep running.
Salesforce platform owners, architects, DevOps and release leads, and anyone responsible for how Salesforce changes reach production, especially if your team runs its own scripts or CI.
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