05 · QA & Release Engineering
Every recurring defect becomes a regression test.
The support queue is where regressions surface first. We reproduce them, write the test, and run it on every release before your customers do.
- Test environments only
- 2-day regression window
- Scenarios in your framework
Release signal
27
scenarios from support running on every release (client case)
Release discipline
Reproduce once. Re-run forever.
2 days
Regression after release availability
95%
Scenario acceptance target
Top 20
Patterns by frequency & severity
3
Staging P1s caught last quarter (case)
Why this exists
Engineering has the bug tracker. Support has the pattern.
Platform releases reintroduce failures customers reported last month. Engineering has the bug tracker; support has the pattern; nobody has the reproducible scenario.
Regression suites written from specifications miss the failures that only happen with real prompts and real configurations.
QA lines
What's included
From the error register to regression suites, release QA and quality monitoring.
- 01
Bug reproduction
A register of error patterns observed across tickets, classified to your schema, with the top 20 by frequency and severity reported at each review. For each pattern you designate: the minimal prompt sequence, configuration and preconditions that trigger it; observed failing output and expected correct output; severity and frequency assessment; the remediation applied; a test case in your framework.
- 02
Regression testing
Designated scenarios re-run against each release within 2 business days of availability in your test environment; pass/fail with evidence in your tooling.
- 03
Release QA and bug bashes
Structured pre-release and exploratory testing squads with severity-tagged reports.
- 04
Beta program management
Recruit, brief and manage beta users; synthesise feedback.
- 05
Output quality monitoring
Sampled review of generated applications and code against your rubrics; weekly quality index.
- 06
Trust and safety moderation
Abuse, policy-violation and content review queues.
Operating model
How it runs
- 01
Register
The error register is maintained continuously from tickets.
- 02
Designate
You designate patterns for reproduction; scenarios are delivered per backlog.
- 03
Reproduce
Scenarios are recreated only in test environments and test accounts you designate — never in a live customer application.
- 04
Re-run
Regression runs are triggered by release availability; results within 2 business days. A weekly quality index is reported, with monthly review.
Sample deliverable
Sample deliverable
A regression scenario: trigger sequence, preconditions, failing output, expected output, severity, frequency, remediation, test case reference and last run result.
Twenty-seven scenarios from support now run on every release. Three regressions caught in staging last quarter that would have been P1s.
- scenario_id
- REG-████-014
- trigger_sequence
- 3 prompts → schema edit → redeploy
- preconditions
- Postgres connector v2, RLS enabled
- failing_output
- Migration drops policy, reads return empty
- expected_output
- Policy preserved across migration
- severity
- P2
- frequency
- 31 tickets / 90d
- remediation
- Connector pins policy before migrate
- test_case_ref
- suite/db/rls_migrate_spec
- last_run
- pass — release 2026.08.3
Redacted. Client and customer identifiers removed.
SLAs
KPIs and SLAs
| Metric | Target |
|---|---|
| Regression run after release availability | 2 business days |
| Scenarios delivered per month | Minimum agreed in SOW |
| Scenario acceptance (reproducible on first attempt by your engineer) | 95% |
| Repeat-defect tickets on covered patterns | Tracked and reported |
Commercials
Pricing model
Per scenario; per regression run or monthly; per release for bug bashes; monthly for beta management, monitoring and moderation.
FAQ
FAQ
No commitment either way
Ready to turn recurring defects into regression tests?
We'll map an error register and regression cadence to your release train — operating plan in five business days.