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How to integrate feature flags into your CI/CD pipeline for safer, faster releases

How to integrate feature flags into your CI/CD pipeline for safer, faster releases

CI/CD pipelines have transformed how teams build, test, and deploy software, enabling faster releases and reducing human errors. But even with automated testing and staged rollouts, deployments can still introduce risk—a buggy feature might slip through, requiring an urgent rollback.

That’s where feature flags come in. By decoupling feature releases from deployments, feature flags give teams control over when and how new features go live. Instead of exposing a feature to all users immediately, you can:

When integrated into your CI/CD pipeline, feature flags enhance automation, reduce deployment risk, and make releases more flexible. This guide will show you how to seamlessly incorporate feature flags into your CI/CD workflow, step by step.

What we’ll cover:

By the end of this guide, you’ll have a clear roadmap for integrating feature flags into your deployment strategy—allowing you to ship features faster, with less risk.

Why integrate feature flags with CI/CD?

CI/CD pipelines automate software delivery, ensuring that new code is built, tested, and deployed efficiently. However, they do not eliminate the risks associated with feature releases. Even with thorough testing and staged deployments, a new feature can introduce bugs, performance issues, or unexpected user experience problems.

Feature flags add a layer of flexibility by allowing teams to separate deployments from feature releases. Instead of making every new update immediately available to all users, feature flags give teams precise control over who can access a feature and when it goes live.

Here’s why integrating feature flags into your CI/CD pipeline is a smart move:

By integrating feature flags into your CI/CD workflow, you gain more control over feature releases, reduce the risk of deployment failures, and make software delivery more agile.

In the next section, we’ll explore how feature flags fit into each stage of the CI/CD process.

How feature flags fit into CI/CD workflows

Feature flags do more than just provide an extra layer of control—they fundamentally change how teams approach software releases. Instead of treating deployments as high-risk events, feature flags turn deployments into a low-stakes, continuous process. Code can be deployed at any time, while features remain inactive until they are intentionally enabled.

Here’s how feature flags fit into each stage of a CI/CD pipeline:

1. Pre-deployment (continuous integration stage)

2. Deployment (continuous deployment stage)

3. Post-deployment (monitoring and iteration)

This workflow shifts the focus from deploying a feature to enabling a feature. Instead of delaying a release until everything is perfect, teams can deploy continuously and activate features strategically when they are ready.

In the next section, we’ll walk through a step-by-step guide to integrating feature flags into your CI/CD pipeline.

Step-by-step guide to integrating feature flags with CI/CD

Now that we’ve covered why feature flags are valuable in CI/CD, let’s go through the practical steps to integrate them into your workflow. Whether you’re just getting started or optimizing an existing setup, this guide will help you seamlessly incorporate feature flags into your deployment process.

1. Choose a feature flag management tool

While you can implement feature flags manually using environment variables or config files, a dedicated feature flagging tool like Tggl provides more flexibility, better visibility, and built-in controls.

A feature flag management platform allows you to:

2. Implement feature flags in your codebase

To integrate feature flags, wrap feature logic inside conditional statements. Here’s an example using Tggl in a JavaScript application:

if (tggl.get('new-dashboard', false)) {
  renderNewDashboard();
} else {
  renderOldDashboard();
}

This ensures that the new dashboard only appears if the flag is enabled, giving teams the flexibility to toggle it on or off at any time.

3. Configure your CI/CD pipeline to use feature flags

Once your codebase includes feature flags, your CI/CD pipeline needs to be set up to deploy code while keeping flagged features inactive.

4. Set up gradual rollouts and experimentation

Instead of launching a feature to all users immediately, use progressive rollouts:

With Tggl, you can define rollout rules based on user attributes, location, or traffic percentage, giving you fine-grained control over feature releases.

5. Monitor and iterate

After enabling a feature, continuously monitor its impact. Track:

If anything goes wrong, you can instantly disable the feature, preventing downtime or negative user experiences—without rolling back the entire deployment.

By following these steps, you can integrate feature flags into your CI/CD pipeline seamlessly, reducing risk and making deployments more flexible.

In the next section, we’ll look at best practices for managing feature flags effectively.

Best practices for using feature flags in CI/CD

Integrating feature flags into your CI/CD pipeline is powerful, but without the right approach, they can introduce technical debt and operational complexity. To maximize the benefits while keeping your system manageable, follow these best practices.

1. Keep feature flags temporary when possible

Feature flags should be used for gradual rollouts, experiments, and temporary toggles, not as long-term conditional logic. Once a flag has served its purpose, remove it from the codebase to prevent unnecessary clutter.

2. Establish a naming convention

Clear and consistent flag names help teams understand what each flag does at a glance. Instead of vague names like feature_1, use descriptive names like:

This makes it easier to track which flags are active and why they exist.

3. Use granular access control

Not everyone should be able to modify feature flags in production. Use role-based access controls to restrict changes based on team responsibilities:

4. Document feature flags properly

Each feature flag should have:

  1. A clear owner – Who is responsible for reviewing and removing it?
  2. A description – What does the flag do, and when should it be removed?
  3. An expected removal date – Flags should not remain indefinitely.

Tools like Tggl allow you to assign ownership and track flag lifecycle status.

5. Regularly clean up stale flags

If feature flags aren’t removed after their purpose is served, they add unnecessary complexity to the codebase. Set a policy to:

6. Combine feature flags with monitoring

Feature flags don’t replace observability. Use logging and monitoring tools to track flagged features in production. This ensures you can detect performance issues or errors early.

7. Test feature-flagged code thoroughly

A feature flag might be off during initial testing, but it still needs full test coverage. Ensure that:

By following these best practices, teams can keep feature flag usage under control, reduce tech debt, and maintain a clean deployment process.

In the next section, we’ll explore common pitfalls to avoid when using feature flags in CI/CD.

Common pitfalls to avoid when using feature flags in CI/CD

Feature flags can streamline deployments, reduce risk, and enable controlled rollouts, but if not managed properly, they can introduce technical debt and operational headaches. Here are some common mistakes teams make—and how to avoid them.

1. Treating feature flags as permanent solutions

Feature flags are meant to be temporary. Keeping old flags in your codebase indefinitely leads to:

Info

Regularly audit and remove stale flags to keep your codebase clean.

2. Relying on feature flags without a rollback plan

Turning off a feature flag can prevent a bad release, but some changes (like database migrations or API updates) can’t simply be toggled off.

Info

Always have a rollback strategy in place for major releases. If a feature requires structural changes, plan how to reverse them safely.

3. Granting too many people access to production flags

Without access controls, anyone on the team could enable or disable critical features, leading to unexpected behavior in production.

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Implement role-based access control to ensure only authorized team members can modify production flags.

4. Not tracking flag usage

If you’re not monitoring feature flags, you lose visibility into:

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Use logging and monitoring tools to track flag usage, performance impact, and error rates.

5. Leaving unused flags in the codebase

Every unused flag adds unnecessary complexity. If a flag has been enabled for all users for more than a few sprints, it’s time to remove it.

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Implement an automated cleanup process that detects and removes stale flags.

6. Not testing feature-flagged code properly

Just because a feature flag is off during testing doesn’t mean you can ignore it.

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Test both ON and OFF states to ensure:

  • The feature works correctly when enabled.
  • The fallback experience functions as expected when the flag is disabled.

By avoiding these pitfalls, teams can keep feature flag usage manageable, reduce tech debt, and maintain a clean CI/CD pipeline.

In the next section, we’ll wrap up with key takeaways and how to get started with feature flags in CI/CD.

Conclusion

Integrating feature flags into your CI/CD pipeline gives you more control over releases, reduces deployment risks, and makes rollouts more flexible. Instead of treating deployments as high-stakes events, teams can deploy continuously and decide when (and for whom) a feature goes live.

By following a structured approach, you can maximize the benefits of feature flags while avoiding common pitfalls:

With the right strategy, feature flags don’t just make releases safer—they also enable experimentation, progressive rollouts, and instant rollbacks, giving teams more confidence in their deployment process.

If you’re looking for a feature flag solution that integrates seamlessly with your CI/CD pipeline, Tggl makes it easy to manage flags, automate rollouts, and track changes—all without adding complexity to your workflow.

The easiest way to start with feature flags

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