We're really excited to announce some new AI-assisted functionality in the DevCycle Dashboard. These tools are designed to make life easier and simplify the creation of critical objects in the DevCycle platform.

Variable Schemas are a great tool for protecting production. They set guardrails for a given Variable allowing only certain values to be set when modifying a Feature's configuration. The problem is, Variable Schemas can be complex to create.

With AI Generated Schemas we've made the initial creation of Schemas extremely simple. AI looks at the Variable values you've already set for a feature and creates a Schema that validates against those current values. From there you can edit the Schema as needed based on your preferences.

Check out our docs to get started with AI Generated Schemas

We all want to keep our teammates informed about what a Feature controls, but it can be tedious to keep descriptions, summaries or internal Wikis up to date.

This is why we created AI Generated Feature Summaries. With this tool, AI distills down a Feature's current configuration and provides a detailed point-in-time summary that you can then augment as needed. This makes it extremely easy to keep summaries fresh.

AI Generated Schemas and Feature Summaries

Send DevCycle Feature changes and runtime evaluations into Dynatrace so your teams can easily monitor app performance tied to flags.

This integration adds feature flag evaluation data to your traces, helping with faster debugging, tracking rollbacks, and shipping with confidence! 

Dynatrace Integration

We're really excited to announce the availability of the ✨ 

We've been hard at work to make sure the tools and prompts are intuitive and can work naturally in your workflow.

You can install either the Remote or Local MCP Server depending on your needs and use cases.

Check out the docs for one-click install into Cursor or VS Code

MCP Server

 object to all variable evaluations, making it easier than ever to debug and understand 

 a specific value was returned for a user.

These values are especially useful for debugging, QA, building custom logs and observability workflows.

Learn more about evaluation reasons in the docs: 

https://docs.devcycle.com/sdk/features#evaluation-reasons

Variable Evaluation Reasons

 across all of our server-side SDKs! With evaluation hooks, you can 

tap into the lifecycle of a Variable evaluation

 to run custom logic at four different stages:

visibility over how Variables are being evaluated. You can:

See the Evaluation Hooks section on every Server Side SDK's docs page to learn more 👀 

Evaluation Hooks for Server-Side SDKs

Over the past few weeks, our team has released a series of minor updates to improve the DevCycle platform experience. While subtle on their own, these enhancements collectively boost speed, clarity, and overall usability.

Here’s a quick roundup of what’s new:

Small Improvements Roundup 🤠

You can now sort Features by their creation date—great for understanding the timeline of your feature development and spotting older flags that might need cleanup.

Just a small improvement while we work toward a more robust filtering experience later this year. 

Sort Features by Created Date

 brings together the most essential information and context about your Feature in a single, easy-to-read view. This includes:

The addition of the Overview Tab is part of a redesigned, tabbed Feature Form that organizes key functionality into separate sections: Overview, Manage Feature, Data & Results, and Audit Log.

DevCycle changelog