
Our Approach to Salesforce Engineering
Many Salesforce partners work mainly as administrators. We’re a Salesforce engineering firm: we write code, keep every change in source control, and use AI throughout development, and it shows in the quality of the work and how quickly it ships.
Built on Engineering Discipline
Declarative tools and point-and-click automation are the right choice for plenty of work. As an org grows more complex, some problems need code.
We write Apex, build Lightning Web Components, and code integrations directly against the APIs. We use configuration where it does the job and custom code where it doesn’t, so the org keeps working as data volume and complexity grow.
OpportunityRollupTest.cls
@IsTest
private class OpportunityRollupTest {
@IsTest
static void rollsUpClosedWonAmount() {
Account acct = new Account(Name = 'Acme');
insert acct;
insert new Opportunity(
Name = 'Renewal',
AccountId = acct.Id,
StageName = 'Closed Won',
CloseDate = Date.today(),
Amount = 25000
);
acct = [SELECT Total_Won__c FROM Account
WHERE Id = :acct.Id];
Assert.areEqual(25000, acct.Total_Won__c);
}
}
Source Control and DevOps as Standard Practice
We keep the metadata and code in your Salesforce org in Git and manage every deployment with tools like Salesforce DevOps Center, Copado, and Gearset. Every change is tracked, reviewed, and tested before it reaches production.
Change sets
- Build the change directly in a sandbox
- Add each component to a change set by hand
- Upload it and deploy to production
- If something breaks, there’s no record to roll back to
Our pipeline
- Every change starts on its own branch in Git
- Another engineer reviews the pull request
- Tests run and the change deploys to a sandbox
- The same change deploys to production, with history to roll back
When a validation rule changes, the history shows who changed it and why, and nobody is building change sets at 2 AM.
AI-Augmented Salesforce Engineering
We use AI at every stage of our Salesforce development lifecycle: code generation, automated code review, unit tests, and documentation.
Every project gets real Apex unit tests, and AI lets us reach thorough coverage without slowing delivery. Our engineers still design each solution and review the code AI writes, while AI takes over the repetitive work that used to fill most of a project’s hours.
Weeks, not months
We consistently deliver in weeks what comparable firms estimate in months.
What This Means for You
- Faster delivery: AI takes the repetitive work off the schedule
- Fewer bugs: code review and automated testing catch issues before deployment
- Lower risk: source control and CI/CD mean every change is reversible
- Better handoff: documented code in Git that your team can maintain
- Room to grow: code written with governor limits and data volume in mind
Whether you’re cleaning up an existing org or starting a new one, we build it as software your business depends on. If that’s what you want from a Salesforce engineering firm, see what we build or tell us about your project below.
Tell us what you’re building
Send a few details about the project and we’ll get back to you.
Prefer to talk? Call (909) 257-7390.
