<?xml version="1.0" encoding="UTF-8"?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:dc="http://purl.org/dc/elements/1.1/">
  <channel>
    <title>DEV Community: SHIVANGI SARAF</title>
    <description>The latest articles on DEV Community by SHIVANGI SARAF (@shivangi_saraf_).</description>
    <link>https://dev.to/shivangi_saraf_</link>
    <image>
      <url>https://media2.dev.to/dynamic/image/width=90,height=90,fit=cover,gravity=auto,format=auto/https:%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Fuser%2Fprofile_image%2F3301305%2Fa3f75b75-ecdf-4045-9120-1b44ca0d9a88.png</url>
      <title>DEV Community: SHIVANGI SARAF</title>
      <link>https://dev.to/shivangi_saraf_</link>
    </image>
    <atom:link rel="self" type="application/rss+xml" href="https://dev.to/feed/shivangi_saraf_"/>
    <language>en</language>
    <item>
      <title>🤖 How I Went from Writing Tests Manually to AI-Driven API Testing with Keploy</title>
      <dc:creator>SHIVANGI SARAF</dc:creator>
      <pubDate>Fri, 27 Jun 2025 19:35:04 +0000</pubDate>
      <link>https://dev.to/shivangi_saraf_/how-i-went-from-writing-tests-manually-to-ai-driven-api-testing-with-keploy-4pge</link>
      <guid>https://dev.to/shivangi_saraf_/how-i-went-from-writing-tests-manually-to-ai-driven-api-testing-with-keploy-4pge</guid>
      <description>&lt;p&gt;As a student learning backend development, testing APIs manually was always time-consuming. This week, I tried Keploy, and it made the process so much easier!&lt;/p&gt;

&lt;p&gt;✅ Task 1: Testing APIs with AI + CI/CD&lt;br&gt;
I created an OpenAPI schema for my backend project.&lt;/p&gt;

&lt;p&gt;Used the Keploy CLI to record real API calls and auto-generate test cases — no need to write them manually!&lt;/p&gt;

&lt;p&gt;Then I added the Keploy test command to GitHub Actions, so the tests run automatically on every push or pull request.&lt;/p&gt;

&lt;p&gt;yaml-&lt;br&gt;
run: |&lt;br&gt;
  export KEPLOY_API_KEY=${{ secrets.KEPLOY_API_KEY }} &amp;amp;&amp;amp; \&lt;br&gt;
  keploy test-suite \&lt;br&gt;
    --app= \&lt;br&gt;
    --base-path= \&lt;br&gt;
    --cloud&lt;br&gt;
✅ The pipeline ran successfully, and I added a screenshot of the test report in my README.&lt;br&gt;
&lt;a href="https://github.com/shivangisaraf/MyKeployWorkflow/blob/main/README.md" rel="noopener noreferrer"&gt;GithubReadme&lt;/a&gt;&lt;/p&gt;

&lt;p&gt;🧪 Task 2: Using Keploy Chrome Extension&lt;br&gt;
I used the Keploy Chrome Extension to test APIs on Amazon.&lt;/p&gt;

&lt;p&gt;It automatically detected the API calls I made while browsing and converted them into test cases.&lt;/p&gt;

&lt;p&gt;Super easy and very beginner-friendly — no coding required!&lt;/p&gt;

&lt;p&gt;💬 Final Thoughts&lt;br&gt;
Using Keploy as a student helped me:&lt;/p&gt;

&lt;p&gt;✅ Save time on writing and maintaining tests&lt;/p&gt;

&lt;p&gt;🔁 Learn how real-world CI/CD workflows operate&lt;/p&gt;

&lt;p&gt;💡 Gain confidence in the quality of my code&lt;/p&gt;

</description>
    </item>
  </channel>
</rss>
