How to use AI Regression Test Generator
- Open the tool and paste a change description, diff summary or release notes.
- Optionally add context (feature description, acceptance criteria, environment) — the more concrete the input, the better the result.
- Pick the options (count, output language, focus) and press the action button.
- Review the structured result in the table, then copy or download it as Markdown, CSV or JSON.
AI Regression Test Generator features
- Impact analysis: which areas a change can break and why
- Smoke, regression and integration suites with structured cases
- Works from release notes, diff summaries or plain descriptions
- Markdown, CSV and JSON export
- Choose English, Arabic or Hindi for the generated text — identifiers, HTTP methods and technical tokens always stay in English.
AI Regression Test Generator example
Release notes → regression suite
Input:
Replaced the discount engine; totals now calculated server-side; migrated coupon tableOutput:
Impacted: Checkout totals (High), Coupon admin (High), Order history (Medium)
SMOKE TC-001 Place an order with no discount…
REG TC-004 Legacy coupon still applies after migration…Frequently asked questions about AI Regression Test Generator
What input works best?
Release notes, a summary of the diff, or a plain description of what changed plus the modules involved. Adding system context (integrations, fragile areas) improves the impact analysis.
Is my input stored?
No. Your text is sent to the Mutqan AI service and the structured result is returned to your browser. We do not store prompts or outputs — only anonymous usage counters used for daily limits.
How many generations can I run?
Anonymous visitors get a small daily allowance per network address; registered users get a higher daily quota. The remaining count is shown under every result.
Can I get the result in Arabic or Hindi?
Yes — choose the output language. Natural-language fields are written in that language while identifiers, HTTP methods, paths and other technical tokens stay in English.
Technical notes
Your input is sent to the Mutqan AI service over an encrypted connection; prompts and results are never stored — only anonymous usage counters used for rate limiting.
The AI must answer with strict JSON that is validated against a schema on the server before anything is rendered; malformed answers are retried once and then rejected with a clear message.