Define the regressionlens decision
State the audience, period, and decision boundary before entering regressionlens evidence.
Free Cursor / GitHub Copilot / Replit / Lovable Comparisons tool
RegressionLens
Predicts which existing features are most likely to break after an AI-generated code change.
- Calculated instantly from your inputs
- No signup or data submission
- A focused next step for MVP planning
Your entries remain in this browser session and are not sent to MVPHub.
Your inputs
Enter the evidence for your regressionlens decision
Use facts from one stated period and keep units consistent. Every required input changes the result or its explanation.
Your calculated result
Your result
0/100
Planning score
Recommended next actions
How it works
Enter comparable evidence
Add measurable facts for this method: predicts which existing features are most likely to break after an AI-generated code change.
Review the transparent result
Use the displayed arithmetic, assumptions, and weakest evidence area to decide what to verify next.
Frequently asked questions
What does the RegressionLens calculate?
Predicts which existing features are most likely to break after an AI-generated code change. It uses only the evidence and assumptions entered in the form.
How should I choose the input period?
Use one recent, representative period and keep every count, duration, cost, or percentage aligned to that same period.
Is the result a guarantee or professional opinion?
No. It is a planning estimate or decision signal. Validate legal, safety, financial, or technical decisions with an appropriately qualified person.
When should I update this regressionlens result?
Recalculate when the scope, evidence, capacity, constraints, prices, dates, or customer segment changes materially.
How we compare
| Capability | MVPHub | Cursor | GitHub Copilot |
|---|---|---|---|
| Focused calculation from entered evidence | ✓ | — | — |
| Formula and assumptions shown in the result | ✓ | — | — |
| RegressionLens next-step guidance | ✓ | — | — |
MVPHub provides a focused regressionlens calculation and next step. Cursor and GitHub Copilot support broader AI-assisted coding and repository workflows.