This release brings automated quality signals directly into Heizen Studio and makes AI-assisted project updates safer to review. We also improved everyday planning workflows, validation, meeting search, and chatbot reliability.
QA Agent moves to production
The QA Agent now runs on dedicated production infrastructure, fully decoupled from the development environment. Development account issues or downtime can no longer interrupt QA Agent operations, giving teams a more stable and predictable testing workflow.
Unit test reports in Heizen Studio
Unit test results can now be uploaded after every CI run and explored directly from the dashboard. Reports include:
- Test summaries and pass rates
- Line and branch coverage metrics
- Coverage trends over time
- Application-level breakdowns
- Historical reports for comparing runs
Connect your CI workflow
Use the official GitHub Action in your test workflow:
- uses: heizen-labs/unit-test-report-action@v1Add HEIZEN_STUDIO_API_KEY as a repository secret. Once configured, results sync automatically after each CI run.
View the reference CI workflow
Review Helix proposals before applying changes
Helix can now propose updates to backlog and sprint tasks without applying them immediately. Every AI-generated change can be previewed, accepted, or discarded, keeping teams in control while preserving the speed of an AI-assisted workflow.
Better planning and form validation
- Added consistent character limits and live character counters across projects, sprints, requirements, bugs, tests, tasks, and comments
- Added estimated completion dates to user stories, editable directly from sprint views
Faster search and more reliable chat
Meeting transcript search now performs faster matching with less redundant processing. Chat input and attachment handling are also more resilient, with safer signed URLs and better detection of uploaded attachment types.