Keploy 🐰

Open Source test-generation platform that converts API calls to test cases and mocks

Website ➡️ 🚀

[Keploy 🐰 @Keployio]

🎉 Thank You Note from the GitTogether Team! 🙏

@Keployio held GitTogether in collaboration with the @googledevs team, celebrating the spirit of open source! 💚

With over 100 participants joining us from various cities, a heartfelt thank you to everyone who attended and contributed to making this event memorable. 🎉🙏🏻

Special thanks to @googledevs team and our incredible speakers, including Stephanie Taylor, @kunaldeo, @mvkaran, @slayerjain , @smilinrobin , @adityaoberai , @HaimantikaM , @sangamtwts , @tapasadhikary , @guneshpatil , @hrittikhere , @mediocreDevops , @MeghaKadur for their invaluable insights. Thanks to our community partners @ReactPlayIO @lambdatesting @FOSSUnited @ministryoftest @Docker for all the support. 🫰

We're inspired by the enthusiasm and commitment towards free and open-source software and look forward to organizing more such events in the future. 💚💙

Let's continue to innovate, collaborate, and drive positive change together! 🚀

#OpenSource #Gittogether #Keploy #GoogleForStartups

[Keploy 🐰 @Keployio]

Ever wondered why your test suite keeps growing even though you're testing the same few flows over and over? 📷

In this video, we break down how Keploy automatically detects and removes duplicate tests - so your suite stays fast, lean, and actually trustworthy to review.

[Keploy 🐰 @Keployio]

Your API did not change.
Your test still failed.
The reason is usually noisy fields such as timestamps, tokens, and request IDs.

This video explains why flaky tests happen, how Keploy detects noisy fields automatically, and how it replays API traffic to identify real bugs.

[Keploy 🐰 @Keployio]

🚨 Every software bug has a journey.

From New → Assigned → Open → Fixed → Retested → Closed, the Bug Life Cycle helps teams resolve issues faster, collaborate better, and ship higher-quality software.

Learn each stage with examples
https://t.co/IEiEiULHrG
#SoftwareTesting

[Kirill Budilov @kirillfbc]

10 open-source repos I would mine for better builder content this week.

Not because they are trendy. Because each one points to a real workflow problem and a demo angle.

1. keploy/keploy
https://t.co/OtjRLyxkTb
Why: API tests are painful when mocks, traffic and real behavior live in separate worlds

2. langfuse/langfuse
https://t.co/6ai3xvjMCB
Why: AI products need receipts when prompts, cost and quality start behaving weirdly

3. n8n-io/n8n
https://t.co/vYSxQvY5TT
Why: automation should not require writing a custom backend for every small workflow

4. apify/apify-sdk-python
https://t.co/lGCgHP17h3
Why: AI workflows need more control than a random prompt pasted into a box

5. MCPJam/inspector
https://t.co/WelyV5VvGT
Why: MCP tools need a place to debug and inspect behavior before they become production chaos

6. atilaahmettaner/tradingview-mcp
https://t.co/ppGYaY5YJt
Why: TradingView MCP is an open source Python server that streams real time market data, technical analysis indicators

7. pystardust/ani-cli
https://t.co/eCiA381XL0
Why: API work gets messy when testing, docs and team context drift apart

8. StarRocks/starrocks
https://t.co/I9sga5AAXw
Why: database logic gets hard to explain once the product starts changing fast

9. GyulyVGC/sniffnet
https://t.co/VZjglgLjbe
Why: teams need to see what broke before the problem turns into guessing

10. rynfar/meridian
https://t.co/AynKfXCQNq
Why: API work gets messy when testing, docs and team context drift apart

Which one deserves the deeper teardown first?

More projects like this are going into AtlasRepo:

[Ayush @AyushX1602]

🚀 Final submission done!

Spirit OS — a browser OS run by AI agents, built for India's 26M+ specially-abled users. Voice in 10+ Indian languages, an OS that remembers you.

Powered by @gnaniai @mem0ai @Keployio 🤝

Try it 👉 https://t.co/yRQSsvjSRg
#BuildInAIForIndia

[BUILDINAI @BUILDINAI4INDIA]

That’s a wrap for Day 07 of #BuildInAIForIndia! 🚀

Huge thanks to Amaan Bhati (@Keployio DevRel) for an insightful session on API Testing & Kubernetes-Native Testing.

Next: judging the amazing projects our builders shipped! 🇮🇳🔥

#Keploy #Hackathon #OpenSource #AIBuilders

[Kirill Budilov @kirillfbc]

This repo is a good example of the kind of tool that feels obvious only after you see the workflow pain clearly.

keploy/keploy helps with this: API tests are painful when mocks, traffic and real behavior live in separate worlds.

This is the kind of underhyped tool that quietly removes annoying manual work once a team actually installs it.

Worth a test run, or still too niche?

https://t.co/OtjRLyxkTb

[Keploy 🐰 @Keployio]

Are you using the right level of software testing? 🤔

From Unit Testing to Acceptance Testing, every stage helps catch bugs earlier and improve software quality.

Read the complete guide 👇
https://t.co/DNLCEypOtS
#SoftwareTesting #QA #DevOps #Keploy

[Keploy 🐰 @Keployio]

Hidden bugs live inside your code. 🔍

Learn how #WhiteBoxTesting helps improve code quality with statement, branch, and path coverage, plus real-world examples and best practices.

Read more: https://t.co/eAh0UBGHrB

#SoftwareTesting #QA #AutomationTesting #Keploy

[NeoTeo.com @NeoteoCom]

Keploy genera tests de API y mocks directamente del tráfico real de tu app. Compatible con Go, Java, Node.js y Python. Cubre replays, mocks y assertions sin escribir una línea. https://t.co/GggbZxWger

[Tom Dörr @tom_doerr]

Generates API integration tests and mocks from user traffic

https://t.co/m2EJyuuOIl

[Keploy 🐰 @Keployio]

Choosing the right API testing tool can save hours of manual work.

From automated test generation to regression testing and CI/CD integration, this guide compares the top #APItestingtools for modern development teams.

🔗 https://t.co/LZArAHw06U

#APITesting #SoftwareTesting

[Keploy 🐰 @Keployio]

Testing in production is risky.

Sandbox testing gives teams a safe environment to validate APIs, integrations, and applications without affecting real users or data.

Learn why it matters and how to use it effectively:
https://t.co/jwVPNakWqs
#SoftwareTesting #APITesting #QA

[Keploy 🐰 @Keployio]

Flaky tests slowing releases? 🤖

Self-healing test automation fixes broken locators, timing issues & UI changes automatically — keeping CI stable with less maintenance.

Learn more 👇
https://t.co/N2asZ0A8CS

#Testing #AutomationTesting #DevOps #Keploy

[Keploy 🐰 @Keployio]

Good API design = scalable apps + smoother integrations 🚀

Learn REST patterns, versioning, error handling & best practices in this guide by Keploy 👇

https://t.co/TPk48eiXgF

#APIDesign #SoftwareTesting #RESTAPI

[Keploy 🐰 @Keployio]

Most teams don’t fail because they skip testing.

They fail because they test the wrong things.👀

Unit, integration, regression & performance testing solve different problems.

Choose the right testing strategy👇
https://t.co/rEyr4pzEDE

#SoftwareTesting #QA

[Keploy 🐰 @Keployio]

#Testing isn’t about proving your code is perfect.
It’s about reducing risk smartly 👇

• Bugs ≠ gone, just undiscovered
• You can’t test everything
• Start early (Shift Left)
• Bugs cluster
• Update tests regularly

🚀 Build smarter with #Keploy
https://t.co/vXKRPoKYyA

[Ajay @ajay_2512x]

🚨Keploy is HIRING🚨

Intern/SDE1/SDE2/SDE3/Tech Lead/Principal Arch @Keployio

https://t.co/bg2qQyoCZI

[Keploy 🐰 @Keployio]

🗓️ May 14 | 5:30–8:30 PM
📍 TestMu, San Francisco

Real talks with engineers building at scale.
Live demo (no sales pitch).
Practical takeaways for backend, QA & DevOps.
Swag + good coffee ☕
Limited spots (invite only).

👉 Register: https://t.co/XAIN7JJw8y

[AJ Welch @AJWelch]

A "must-have tool for developers in the AI-Gen era for 90% test coverage" dog foods their own product and achieves 75% test coverage. Fun stuff.