Cypress-Studio-like Chrome Extension that turns API calls into fixtures

Hacker News

I find that the slowest part of writing Cypress tests is creating fixtures to mock API calls. So I’ve created this Chrome Extension to bootstrap Cypress tests with API calls automatically stubbed. Similar to Cypress Studio and existing Chrome extensions, it records all user actions during a session and creates a Cypress test file. But it also listens to all fetch/XHR calls made during the session and outputs a directory of fixtures, which are automatically used in the test file to stub API calls. Alternatively, you can disable mocking and the generated test file will automatically alias and wait for API calls to return (reducing flakiness in e2e tests without arbitrary waits). More details and a link to Chrome Web Store in the readme. Still early stage but any feedback would be appreciated!

Visit product View on Hacker NewsJun 22, 2024

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Product HuntOn track for Day 1 leaderboard · Strong signals: user · Missing: mac, agents, macos

81%81% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

Indie HackersFits the IH revenue-focused audience · Strong signals: created · Missing: supports, reddit linkedin, podcasting

62%62% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

AppSumoStrong fit for a featured deal · Strong signals: calls · Missing: plus, platform, intuitive

52%52% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: exist, existing, io · Missing: https docs, excited, just released

45%45% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal

31%31% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

18%18% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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