New Coverage Analyzer in Test Class Generator gives actionable Apex coverage insights, CI-friendly reports, and smarter test generation to speed safe deployments.
## What’s new
Test Class Generator now includes a built-in Coverage Analyzer and CI Insights dashboard that give engineering teams actionable visibility into Apex coverage, test gaps, and CI test health. This update is designed to reduce deployment risk, speed feedback loops, and make AI-generated test classes more targeted and effective.
## Why this matters for Salesforce teams
Apex coverage numbers alone don’t tell the full story. Teams need to know which lines are untested, which tests are flaky, and how changes affect downstream behavior. The Coverage Analyzer links generated test classes to specific methods, highlights unexercised branches, and surfaces low-confidence areas where additional assertions are recommended. The CI Insights dashboard aggregates test runtimes, failure rates, and historical coverage trends so you can prioritize work where it matters.
### Practical improvements you’ll see
- Targeted generation: Instead of regenerating broad suites, the Analyzer recommends focused test classes for the exact methods and branches that are missing coverage.
- Faster CI runs: By identifying redundant or overlapping tests, the tool suggests incremental test subsets for pull-request validation to reduce build time.
- Flaky test detection: CI Insights flags tests with intermittent failures, shows associated logs, and ranks them by impact so engineering teams can triage effectively.
- Clear remediation steps: Each coverage gap entry includes a concise suggestion (e.g., mock this service, assert this branch) and a one-click generate option to create a starter Apex test that follows your org’s patterns.
## How to adopt it in your workflow
1. Enable Coverage Analyzer in the Test Class Generator settings for your org. It runs lightweight scans as part of test generation and stores historical snapshots.
2. Connect your CI provider (Jenkins, GitHub Actions, Bitbucket Pipelines). CI Insights ingests test results and maps failures to Analyzer findings.
3. Use pull-request checks: run the Analyzer-guided incremental test subset for quick verification, and run full suites on main branch merges.
4. Triage flaky tests from the dashboard — prioritize fixes for high-impact tests and use the generated starter tests to reproduce and stabilize behavior.
## Best practices
- Start with the high-risk areas: business-critical triggers, complex sharing logic, and integrations.
- Keep generated tests small and focused: assert behavior, not implementation details.
- Use Analyzer recommendations as a baseline; refine assertions to match intended behavior and guardrails in production.
## Closing thoughts
This release turns raw coverage numbers into an actionable roadmap for safer deployments and faster feedback. Whether you’re cleaning up legacy code or accelerating feature delivery, the Coverage Analyzer + CI Insights help you ship with confidence.
Ready to try it? Enable Coverage Analyzer in your Test Class Generator workspace, connect your CI, and run a guided scan on a feature branch today. If you’d like a demo, contact our support team for a walkthrough.