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Learn how CI/CD in automation testing accelerates software development, enables faster release cycles, and helps choose the right CI/CD automation testing tool.

Saniya Gazala
January 13, 2026
Many organizations adopt software development practices like Continuous Integration (CI) and Continuous Deployment (CD) to ensure frequent and reliable product delivery. Regular code commits necessitate continuous testing, as neglecting this can lead to an unreliable infrastructure.
As projects and teams grow, scaling manual processes becomes increasingly challenging. A robust CI/CD pipeline relies heavily on automation testing. Building a sturdy CI/CD pipeline with automation testing is crucial for organizations, and DevOps practices can help address these challenges.
CI/CD in automation testing is a modern DevOps practice that integrates continuous integration, delivery, and deployment to ensure faster, reliable, and automated software releases. By embedding automated testing within every phase of the CI/CD pipeline, teams can detect bugs early, enhance code quality, and achieve continuous feedback and delivery cycles.
Why Implement CI/CD in Automation?
Where Do Automation Tests Fit in CI/CD Pipelines?
Automation tests ensure build consistency, stability, and functionality throughout the CI/CD process.
What Are the Best Practices for CI/CD in Automation Testing?
A CI/CD pipeline is a set of practices that allows teams to deliver code changes more frequently. CI/CD stands for Continuous Integration, Continuous Delivery, or Continuous Deployment.
In a CI/CD pipeline, code changes go through various stages, such as building, testing, and deploying, where specific events, such as a code commit, trigger each stage. This pipeline helps to catch bugs early and ensure that the code is always functional and ready to be deployed into the production environment.

To learn about CI/CD in DevOps, watch this video tutorial to understand it better.
Continuous Integration and Continuous Delivery (CI/CD) pipelines embody the principles of Agile methodology, addressing challenges faced by earlier development models. Understanding the phases of CI/CD is crucial before adopting Agile and implementing test automation.

Continuous Integration (CI):
Continuous Integration emphasizes automated testing to ensure the application remains functional whenever new commits are integrated into the main branch.
Phase of Continuous Integration(CI):
Continuous Delivery (CD):
Continuous Delivery (CD) takes Continuous Integration (CI) a step further. While CI frequently integrates code changes, CD manually deploys these changes to testing and production environments after the build stage.
Phase of Continuous Delivery (CD):
Continuous Deployment (CD) takes continuous delivery further by automating deployments directly to production environments. Every code change that successfully passes all testing stages is automatically released to your users. By deploying changes directly to production, you get immediate feedback from real users, allowing for quicker iteration and improvement. Eliminating manual deployments frees developers to focus on building new features and fixes.
Running unit tests, ensuring code quality, performing security-related tests, etc., and sharing testing information across the operation team necessitates a test-driven infrastructure. While automation testing is the standard for a robust CI/CD pipeline, occasional manual testing may still be necessary.
In CI/CD for automation testing, developers can handle small code integrations or updates more efficiently, consuming less time than manual testing.
Analyzing the pros and cons of a technical approach helps decide which tests should be automated and which ones should be manual. Repeated and labor-intensive tasks should be automated.
Different types of software testing can be automated as part of the CI/CD testing process such as unit, integration, API, functional, regression, and cross-browser testing.
It is beneficial to prioritize and differentiate these tests based on their speed and complexity. Considering this, it becomes necessary to incorporate CI/CD in the automation testing process.
To learn more about adapting your manual skills to automation, follow this detailed guide on how to move from manual testing to automation testing and get valuable insights.
CI/CD in automation testing focuses on automating the build, test, and deployment of the applications. It adopts practices that use automation to enable the frequent and efficient delivery of applications to end users.
There are three critical components of CI/CD: Continuous Integration, Continuous Delivery, and Continuous Deployment. These practices collectively streamline application development, ensuring optimal performance and better software quality.
CI/CD in automation testing revolves around implementing effective automation testing strategies. Automation testing is a crucial part of software development for finding bugs, ensuring stable test environment processes, and detecting any environment defects. It involves creating automated test scripts to check if new features work as expected and meet functional requirements.
These scripts can be run during each build to ensure no regressions occur, reducing manual effort and improving overall quality by catching issues early in the Software Development Life Cycle (SDLC).
The success of CI/CD in automation testing relies on quick test failure detection, timely feedback to developers, and fast issue resolution.
Here is how automation testing contributes to CI/CD:
Note: Ensure faster, reliable releases by implementing a robust CI/CD pipeline with automation testing. Try TestMu AI Today!
The objective of CI/CD in automation testing is to facilitate the Continuous Development, Testing, Delivery, and Deployment of applications. The goal is to detect and address issues quickly, allowing for rapid deployment of solutions for real-world use. Once the code is deployed to production, automation testing becomes crucial within the CI/CD pipeline and other toolsets.
Let’s explore the key factors that make CI/CD in automation testing essential:
According to shift-left testing, bugs discovered early in the SDLC require less cost and resource allocation than those found later. This approach can significantly improve product quality.

Skipping automation testing can also lead to delays in production and updating the build regularly.
With standardized DevOps practices, avoiding irregular and ad-hoc testing approaches is easier. Only planned and random testing with automation and proper planning can streamline the software delivery processes.
Parallel testing with Selenium can drastically reduce test cycles, ensuring maximum test coverage in a shorter period. Using parallel testing for CI/CD in the automation testing pipeline is crucial for performing large-scale test scripts. Pro-tip: More time-consuming tests should wait for their turn till last; hence, use them just before the code enters production.
Unlike ephemeral testing environments, staging environments are meant to be durable, long-lasting replicas of production environments. They are essential for testing every change before pushing it to the live web application. But how do we test websites on different browsers locally?
Selenium plays a pivotal role in the CI/CD pipeline, facilitating the migration of changes between staging environments and ultimately to production after approval. Local automation testing into the CI/CD pipeline can minimize outages and ensure a seamless user interface and experience. This approach provides valuable insights into the appearance and functionality of your website before its official launch.
Development and Testing: Integration of IT operations with the development team forms the basis of DevOps. In this setup, developers communicate with system administrators to deploy software in production, enabling faster delivery with maximum visibility. However, automation testing plays a crucial role in DevOps. It is a prerequisite for optimizing software delivery, allowing development and operations teams to work together seamlessly. Introducing automation testing is essential to realize the true essence of CI/CD, making coordination easier between development and IT operations teams.
Hence, smaller versions are recommended for a quick release of the build. Once you split these tests, put them in the queue and run them in parallel using automation testing for the CI/CD pipeline. It will help you establish a robust mechanism to find and eliminate tiny roadblocks.
Now that we understand the importance of implementing CI/CD in automation testing, let’s learn where automation fits right in the CI/CD process.
As we have already learned the role of CI/CD in automation testing, it is clear that CI/CD cannot function effectively without automation.
The testing process involves running automated test scripts to check for build consistency and proper functionality. Multiple tests ensure that builds are error-free before moving them to the production environment.
You might wonder where automation tests fit in CI/CD pipelines when we mentioned that you could perform multiple tests to ensure the builds.
Here are some key tests where automation plays a crucial role in CI/CD pipelines :
Usually, QA teams use either Test-Driven Development (TDD) or Behavioral-Driven Development (BDD) approach for writing test scripts, whereas developers write tests before writing the code to ensure the code meets the requirements.
Continuous Integration (CI), a cornerstone technique of DevOps, merges the code updates into the code repositories, but what if code repositories or integration servers transform the future? When the organization decides to change a web app into a hybrid app, similar development changes will take place that will ask for a broad array of frameworks. Adapting to testing solutions that can support the changing needs and maintain the agility of a Continuous Delivery (CD) pipeline will become inevitable.
CI/CD, when augmented by robust tooling, reduces the time to integrate changes, minimizes errors during integration, and increases project velocity. Many tools exist, ranging from free and open-source to commercial. They are all designed to support different testing types and technologies.
You can decide based on your experience, budget, and requirements. Keep looking at the pros and cons of the tool you plan to select, such as how many concurrent builds you require or how much time is needed for your data retention.
According to the Future of Quality Assurance survey, 88% of organizations have adopted CI/CD tools. These CI/CD tools adaptation enables rapid release cycles, with over 20% of organizations releasing daily and 40% releasing weekly. This is particularly true for small and medium-sized companies, which tend to have more Agile teams.
In contrast, large-scale enterprises, despite adopting CI/CD practices more widely, still have slower release cycles. Nearly half of these organizations release on a monthly or quarterly basis. While release cycles vary significantly from product to product, longer release cycles often indicate a longer turnaround time for fixing bugs.

To enhance the CI/CD process with automation testing, you can run your tests on a cloud-based platform like TestMu AI. It is an AI-native continuous testing platform that lets you run manual and automated tests at scale with over 10,000+ real devices, browsers, and OS combinations.
To further enhance your CI/CD process, you can leverage TestMu AI HyperExecute, an AI-native test orchestration platform designed to accelerate automation testing speed and efficiency. HyperExecute offers intelligent features that automate and optimize the testing process, going beyond traditional cloud-based test execution.
When integrating HyperExecute with your CI/CD process, you can run your tests faster and get quicker feedback on code changes. It allows you to manage and execute large test suites in parallel, optimize resource usage to reduce infrastructure costs and ensure stable and reliable tests across various environments, enhancing software quality.
With HyperExecute in your CI/CD pipeline, you can build a strong, efficient, and scalable testing process, delivering high-quality software faster and more reliably.
Adhering to CI/CD best practices is crucial for software engineering and operations teams, as it significantly influences every aspect of the development process. These practices enhance quality, increase engineer efficiency, and enable businesses to expedite the delivery of essential features.
Let’s explore how leveraging CI/CD best practices can optimize your engineering organization’s performance.
Cutting-Down Tests of Low ValuesA comprehensive CI/CD in automation testing ensures smooth production deployments by catching unexpected issues early. A fast and reliable pipeline is essential for maintaining development velocity. Scaling the CI/CD infrastructure and optimizing tests can improve efficiency. Over time, it’s wise to reevaluate the value of tests and filter out those with lower values to increase the speed of critical pipelines.
Reliable Performance Validation While performance testing can be complex and sometimes manual testing is necessary, companies often make tweaks to scale automated performance testing. Understanding the difference between performance and functional testing is crucial for tailoring a level-based test plan for automated performance testing.
Stakeholders need to grasp the limitations of performance testing, and realistic expectations can lead to positive results. In automation testing, code moves from testing to production via a staging environment. Unlike functional testing, which checks logic to determine pass or fail, performance testing sets limits based on runtime environment details.
Performance testing requires consistently appropriate infrastructure. However, if the runtime environment doesn’t support the tests’ purpose, it’s counterproductive.
Performance testing cannot occur within the CI/CD pipeline due to time constraints. Therefore, large-scale performance testing is conducted outside the CI/CD pipeline, requiring an environment identical to the production environment. Many CI/CD environments cannot support a production-like runtime environment, leading companies to opt for cloud-based testing services for mission-critical performance testing.
Effective CI/CD Implementation
Implementing CI/CD effectively is crucial for automation testing, ensuring smooth integration and continuous software delivery. By following CI/CD best practices—such as conducting automated tests at every stage of the pipeline, maintaining a comprehensive set of unit, integration, and end-to-end tests, and using reliable version control systems—teams can quickly identify and resolve issues. This approach promotes a consistent and efficient workflow, resulting in higher code quality and faster release cycles.
By adopting your developers with a CI/CD pipeline in automation testing, you can keep up with the rapid demands of modern software testing methodologies such as Agile, Kanban, etc. A CI/CD in the automation testing pipeline empowers you to push code changes live from your Staging environment to your production environment on a monthly, weekly, and even daily basis. Splitting your tests based on complexity and effort is always a wise move. CI/CD in the automation testing pipeline helps you push your code changes from staging environments to production, along with organized version control for roll-back scenarios. If you are running an exhaustive test suite, then parallel testing can help you save a considerable amount of time. Adios!
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