DevCycle consultants

Q: What are feature flags and why do they matter?

Feature flags are conditional switches in your code that control whether a feature is active for a given user or environment. They allow teams to deploy code continuously while controlling when and for whom new features are visible, reducing deployment risk significantly.

Q: Which programming languages does DevCycle support?

DevCycle provides SDKs for JavaScript, TypeScript, React, Node.js, Python, Ruby, Go, Java, .NET, PHP, iOS (Swift), Android (Kotlin), Flutter, and more. It also offers a REST API for platforms without a dedicated SDK.

Q: Can DevCycle be used for A/B testing?

Yes. DevCycle includes built-in experimentation capabilities that let you define variations, assign users to different groups, and measure the impact on custom metrics. This is useful for testing different AI model outputs, UI changes, or workflow configurations.

Q: How does DevCycle handle performance?

DevCycle uses edge-based evaluation and local bucketing to minimise latency. Server-side SDKs evaluate flags locally after an initial configuration fetch, meaning flag checks add negligible overhead to your application's response times.

Q: Is DevCycle suitable for managing AI feature rollouts?

Absolutely. AI features often need careful staged rollouts because model behaviour can vary across different data sets and user groups. DevCycle lets you expose new AI capabilities to a controlled audience first, gather feedback, and expand gradually based on real performance data.

Q: Does DevCycle integrate with CI/CD pipelines?

Yes. DevCycle integrates with GitHub, GitLab, Bitbucket, Jira, and popular CI/CD tools. You can link feature flags to pull requests, automate flag cleanup when features are fully released, and track flag lifecycle alongside your development workflow.

We can help you automate your business with DevCycle and hundreds of other systems to improve efficiency and productivity. Get in touch if you’d like to discuss implementing DevCycle.

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About DevCycle

DevCycle is a feature flag management platform that gives engineering teams fine-grained control over feature releases without redeploying code. By wrapping new features in flags, teams can roll out changes to specific user segments, run A/B tests, and instantly disable problematic features — all through a dashboard rather than emergency code pushes. The platform supports server-side, client-side, and mobile SDKs across most popular languages and frameworks.

For organisations building AI-powered products or automation systems, feature flags are essential for managing risk. Rolling out a new AI model, changing an automation workflow, or introducing a new integration point can have unpredictable results. DevCycle lets teams expose changes gradually — starting with internal testers, expanding to a small percentage of users, and scaling up once confidence is established. This approach is standard practice in custom AI development projects where model behaviour needs real-world validation.

DevCycle’s targeting engine supports rules based on user attributes, percentages, and custom properties, which means you can segment rollouts by geography, account type, or any other dimension. Australian businesses with different customer tiers or regional requirements can use this to manage feature availability precisely. The platform also includes built-in experimentation tools for measuring the impact of changes on key metrics.

When paired with business automation platforms, DevCycle adds a safety layer to workflow changes. Teams working with AI consultants on production systems can use feature flags to test new automations alongside existing ones, reducing the risk of disruption during rollouts.

DevCycle FAQs

Frequently Asked Questions

Common questions about how DevCycle consultants can help with integration and implementation

What are feature flags and why do they matter?

Which programming languages does DevCycle support?

Can DevCycle be used for A/B testing?

How does DevCycle handle performance?

Is DevCycle suitable for managing AI feature rollouts?

Does DevCycle integrate with CI/CD pipelines?

How it works

We work hand-in-hand with you to implement DevCycle

As DevCycle consultants we work with you hand in hand build more efficient and effective operations. Here’s how we will work with you to automate your business and integrate DevCycle with integrate and automate 800+ tools.

Step 1

Create Your DevCycle Project

Sign up for DevCycle and create a project for your application. Define your environments (development, staging, production) to manage flag states across your deployment pipeline.

Step 2

Install the SDK

Add the appropriate DevCycle SDK to your application. Choose from server-side, client-side, or mobile SDKs depending on where your feature flag evaluation needs to happen.

Step 3

Define Feature Flags

Create feature flags in the DevCycle dashboard. Set up variations (on/off for simple toggles, or multiple values for experimentation) and define default states for each environment.

Step 4

Set Up Targeting Rules

Configure who sees each feature by defining targeting rules based on user attributes, percentages, or custom properties. Start with a narrow audience for new or risky features.

Step 5

Implement Flags in Code

Wrap your feature code with flag checks using the SDK. When a flag is off, users see the existing behaviour. When it is on, they see the new feature. This requires no redeployment to toggle.

Step 6

Monitor and Iterate

Track flag usage and feature performance through DevCycle’s analytics. Gradually expand targeting as confidence grows, run experiments to measure impact, and archive flags once features are fully released.

Transform your business with DevCycle

Unlock hidden efficiencies, reduce errors, and position your business for scalable growth. Contact us to arrange a no-obligation DevCycle consultation.

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Book a call