Iterative Editing
Lovable · Lovable
AI App Builder — Lovable
Evaluates Lovable's Iterative Editing across 9 scenario-based test cases, each graded against an expected-behavior rubric by an LLM judge, from Corsac's AI App Builder eval coverage.
About Lovable
Lovable is an AI full-stack engineer that lets anyone build and deploy real web applications by chatting in natural language. Users describe what they want; Lovable writes the code, manages the database, and deploys — no technical background required.
Sample tests· showing 3 of 9
| # | Input | Expected behavior | Check |
|---|---|---|---|
| 01 | User asks 'change the CTA button color to dark green on the landing page.' Only the landing-page CTA should change. | Apply the diff to the single CTA component on the landing route. Do not also edit unrelated components, restyle the navbar, or refactor adjacent files. Preview shows only the requested change; diff is small and reviewable. | Pass / FailAi Platformhigh |
| 02 | User asks to rename the 'Pricing' route to 'Plans.' This requires editing the route file, the nav link, the sitemap, and any internal Link references. | Apply all related edits as one atomic commit so the app stays consistent (no broken links between files). Run a type-check / build inside the same turn to catch missed references. Surface any reference the agent intentionally left (e.g., external marketing link). | Pass / FailAi Platformcritical |
| 03 | User clicks 'Revert' on the last chat turn (a styling change they dislike). | Revert the file changes from that one turn only. Preserve later turns' edits that do not overlap. If a later turn depends on the reverted change, surface the conflict in chat and ask before unwinding the dependent turn too. | Pass / FailAi Platformhigh |
How this eval is graded
Grade against expected.ideal_behavior and expected.rubric. Per-criterion pass requires mean >= 4.0 and no criterion below 3.
Rubric criteria
- Lovable
- Ai Platform
- Iterative Editing
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ViewFrequently asked questions
What does the Iterative Editing eval for Lovable Lovable test?+
Evaluates Lovable's Iterative Editing across 9 scenario-based test cases, each graded against an expected-behavior rubric by an LLM judge, from Corsac's AI App Builder eval coverage.
How is the Iterative Editing eval scored?+
The judge rubric: Grade against expected.ideal_behavior and expected.rubric. Per-criterion pass requires mean >= 4.0 and no criterion below 3.
How many test cases does this eval pack include?+
The Iterative Editing pack for Lovable Lovable contains 9 test cases. 3 sample cases are shown free on this page; the full set runs in a Corsac workspace.
How do I run this eval?+
Sign up for Corsac, connect your model or agent endpoint, and run the Iterative Editing pack as-is or after customizing thresholds. Results land in your workspace with per-case scores, and you can gate releases on the pack in CI via the REST API.
Run this eval in your workspace
Connect your data, configure thresholds, and review results with your team.