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Siddharth Kaushal, Director of Engineering, FrontDoor Inc., is here to talk elaborately on shift left testing with us in TestMu2022.

TestMu AI
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January 5, 2026
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Navya Manoj, Product Marketing Manager at TestMu AI, joined hands with Siddharth Kaushal to discuss the idea of shift left testing.
This was the agenda of the session:
Here is the video link:
He started with the definition of Shift left testing and its benefits.

He then started speaking about the need for shift left testing based on his real-time experience. He talked about how he joined a high-visibility product team with 100+ defects in the open state. The team had pushed the production deployment date at least thrice. While the development team was busily closing the defects, the QA team opened more defects to maintain the open defects number at 100+ per day. It was a team of 10+ developers, 5+ QAs, a project manager, and a development manager. When he delved deeper into the problem statement, he realized:
He soon realized that these are the actual problems faced by the team:
This is how he solved the problems:
He also spoke about how they sat in a cafeteria instead of a conference room to enable free-mind thinking.
While talking about the need for shift left testing, he quotes the principle behind it as “Test early, Test often” at different stages.

Then he explained the process behind applying shift-left testing. He reminded us that traditional shift-left testing involves V-model, unit testing, and API testing.
He spoke on how incremental shift-left testing involves V-model with smaller increments and is suitable for large and complex software systems where SRE or DevOps come into the picture.
The next approach he spoke about is Agile and DevOps strategy in shift-left testing, which is currently the most popular one. It’s pretty restricted to development testing, but that’s advantageous since it encourages you to stay bug-free when you reach that stage. According to him, it’s popular since it suggests a team of engineers good at different tasks.
Then he explained model-based shift-left testing. It starts quite a while before the development testing starts.
Moving forward, he explained when is the right time to choose shift-left testing:
Once you have understood and identified all these factors, you need to start taking smaller steps toward the right implementation.
Speaking about what a shift-left test can contain, he gave the following info:
He spoke on how this idea can vary between different professionals. He recommended everyone to start using it and said that you would find it interesting as you start using it. He said you could build an automation framework using a simple language such as Python. You can also use the GoLang-based automation tool to manage unit and functional test cases. Using Karate, you can manage your functional test cases very early. You can use those same scripts to perform different tests.
For implementing the idea of shift-left testing, he suggests these possible ways:
Then he spoke about which tools to use to supplement the implementation.

Then he provided the needed resources to learn about shift-left testing.
Our host, Navya, picked a few questions from the audience and presented them to him. He answered them with joy.
It was indeed an eye-opening session on shift-left testing by Siddharth. Hope you resonate with the same thought!
After the successful Testμ Conference 2022, where thousands of testers, QA professionals, and developers worldwide joined together to discuss on future of testing.
Join the testing revolution at TestMu AI Testμ Conference 2023. Register now!” – The testing revolution is happening, and you don’t want to be left behind. Join us at TestMu AI Testμ Conference 2023 and learn how to stay ahead of the curve. Register now and be a part of the revolution.

Author
TestMu AI is World's First Full Stack AI Agentic Quality Engineering platform that empowers teams to test intelligently, smarter, and ship faster. Built for scale, it offers a full-stack testing cloud with 10K+ real devices and 3,000+ browsers. With AI-native test management, MCP servers, and agent-based automation, TestMu AI supports Selenium, Appium, Playwright, and all major frameworks. AI Agents like HyperExecute and KaneAI bring the power of AI and cloud into your software testing workflow, enabling seamless automation testing with 120+ integrations. TestMu AI Agents accelerate your testing throughout the entire SDLC, from test planning and authoring to automation, infrastructure, execution, RCA, and reporting.
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