How a global Salesforce team used Test Class Generator to increase Apex coverage, cut CI test time by 40%, and reduce release risk with AI-driven unit tests.
## Background
A global services firm managing a 10,000-user Salesforce org struggled with brittle, slow, and incomplete Apex test coverage. Releases were frequently blocked by flaky tests and manual remediation. The engineering team adopted Test Class Generator to systematically generate and maintain Apex unit tests across managed packages and custom triggers.
## Approach
The team focused on three objectives: raise meaningful coverage, improve test reliability, and shorten CI feedback loops. They configured Test Class Generator to produce targeted tests for high-risk classes (custom logic touching opportunities, quotes, and integrations) rather than blanket coverage. This allowed them to prioritize areas that materially affected production behavior.
### Implementation details
- Scoping: The team set rules to generate tests only for classes without existing focused coverage and flagged critical SObject handlers.
- Test patterns: Generated tests used best practices—@IsTest annotation, seeAllData=false, @testSetup methods for reusable data, Test.startTest()/Test.stopTest(), and explicit assertions on expected behavior and exceptions.
- Mocks and fakes: For outbound calls and platform events, Test Class Generator scaffolded simple fakes and interface-based dependency injection hooks so tests remained isolated and deterministic.
- CI integration: Generated test classes were committed to feature branches and exercised in GitHub Actions using SFDX CLI commands. The team used Test Class Generator’s targeted coverage feature to run a subset of tests relevant to changed components during pull request validation.
## Results
Within six weeks the team observed measurable improvements:
- Apex coverage for prioritized modules rose from 48% to 84%.
- CI pipeline time for PR validation dropped by 40% by running targeted test sets instead of full org runs.
- Test flakiness incidents decreased by 70% due to isolation, consistent test data, and fakes for external calls.
- Mean time to merge improved as reviewers received reliable test feedback and fewer last-minute test fixes were required.
## Practical insights
- Start targeted, not global: Prioritizing critical code paths delivers fast ROI and avoids wasting effort on low-impact code.
- Enforce style contracts: Use Test Class Generator templates that embed your org’s assertion patterns and data factories to keep tests consistent.
- Pair AI output with review: Generated tests are scaffolds—developers should review assertions and edge-case coverage, especially for complex business rules.
- Automate selectively: Running only affected test classes in CI reduces feedback time without compromising safety when combined with nightly full-test runs.
## Conclusion / Call-to-action
This case shows how combining AI-generated test scaffolding with pragmatic CI practices accelerates Salesforce delivery while reducing release risk. If you want to reproduce these results in your org, request a demo of Test Class Generator or try a free trial to see targeted Apex tests in action.