- Sep 11, 2025
- Parsed from source:Sep 11, 2025
- Detected by Releasebot:Sep 27, 2025
AI Generated Schemas and Feature Summaries
DevCycle Dashboard introduces AI-assisted tools: AI Generated Schemas auto-create guardrail Schemas from existing Variable values to simplify setup and protection, and AI Generated Feature Summaries distill a Feature’s current config into ready-to-edit, up-to-date summaries.
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.
💂 AI Generated SchemasVariable 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
📋 AI Generated Feature SummariesWe 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.
- Sep 3, 2025
- Parsed from source:Sep 3, 2025
- Detected by Releasebot:Sep 27, 2025
Dynatrace Integration
DevCycle now streams feature change events and flag evaluation traces into Dynatrace, with a prebuilt dashboard and environment mapping to correlate flags with traces for faster debugging, rollback tracking, and safer shipping.
Send DevCycle Feature changes and runtime evaluations into Dynatrace so your teams can easily monitor app performance tied to flags.
- Feature change events (targeting/variation updates) stream into Dynatrace using predefined workflows
- Flag evaluation traces from your apps via SDK hooks (captured by OneAgent)
- Prebuilt Dynatrace dashboard to investigate anomalies alongside feature context
- Environment mapping to keep DevCycle and Dynatrace in sync
This integration adds feature flag evaluation data to your traces, helping with faster debugging, tracking rollbacks, and shipping with confidence!
Check out our docs to learn more!
- September 2025
- No date parsed from source.
- Detected by Releasebot:Sep 27, 2025
Embedded Code in Onboarding Flow
We have added the ability to embed code snippets directly within the onboarding flow in DevCycle. This enhancement allows developers to integrate custom code more seamlessly during the user onboarding process, improving flexibility and customization options for product teams.
- Aug 13, 2025
- Parsed from source:Aug 13, 2025
- Detected by Releasebot:Sep 27, 2025
DevCycle MCP Server
DevCycle ships the MCP Server, enabling IDE-based feature creation, chat-driven QA overrides, audit-log incident reports, and easy flag removal by staticizing variables. Available as Remote or Local with one-click installs for Cursor or VS Code.
We're really excited to announce the availability of the ✨ DevCycle MCP Server ✨
We've been hard at work to make sure the tools and prompts are intuitive and can work naturally in your workflow.
The DevCycle MCP Server is great to:
- Create Features and their associated Variables directly from your IDE
- QA Features by managing overrides through chat
- Investigate and Report on Incidents by getting all audit log details within a given time range
- Remove Flags easily by converting all Variables associated with Completed Features into static code
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
- Aug 7, 2025
- Parsed from source:Aug 7, 2025
- Detected by Releasebot:Sep 27, 2025
Variable Evaluation Reasons
Introducing a new eval object for all variable evaluations, adding reason, details, and target_id to improve debugging and observability. Old evalReason is deprecated and will be removed in a future release; update your SDK usage. Docs linked.
We’ve added a new eval object to all variable evaluations, making it easier than ever to debug and understand why a specific value was returned for a user.
Each Variable evaluation now includes:
- reason – the primary reason a value was served (e.g. TARGETING_MATCH, DEFAULT, SPLIT, etc.)
- details – optional context for why the match occurred
- target_id – the rule or audience that matched, when applicable
These values are especially useful for debugging, QA, building custom logs and observability workflows.
⚠️ Heads up: the older evalReason field is now deprecated and will be removed in an upcoming release. Please update your SDK usage to rely on the new eval object instead.
Learn more about evaluation reasons in the docs: https://docs.devcycle.com/sdk/features#evaluation-reasons
- Jul 31, 2025
- Parsed from source:Jul 31, 2025
- Detected by Releasebot:Sep 27, 2025
Evaluation Hooks for Server-Side SDKs
We’ve released Evaluation Hooks across all server-side SDKs, letting you insert custom logic at four stages of a Variable evaluation (before, after, onFinally, and error). Use them for logging, analytics, performance metrics, and cleanup to gain visibility into evaluations.
We’ve released Evaluation Hooks 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:
- before – run code before the evaluation starts
- after – execute logic after a successful evaluation
- onFinally – code that runs at the end of each variable call
- error – handle any errors during evaluation
Evaluation hooks give you visibility over how Variables are being evaluated. You can:
- Log or audit every evaluation to your analytics or logging platform.
- Capture performance metrics or perform cleanup tasks after each evaluation.
See the Evaluation Hooks section on every Server Side SDK's docs page to learn more 👀
- Jul 3, 2025
- Parsed from source:Jul 3, 2025
- Detected by Releasebot:Sep 27, 2025
Small Improvements Roundup 🤠
DevCycle released a series of small but impactful platform updates that collectively enhance speed, clarity, and usability. Highlights include explicit browser timezones in schedules, variation tooltips, editable large lists, improved project switching, clearer environment indicators, and more detailed audit log diffs.
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:
- Browser Timezones - Timezones are now explicitly shown when viewing schedules, so there's no second-guessing what time things are running.
- Variation Tooltip - Added a tooltip to make it easier to understand what value is being served for each variation.
- Editable Large Lists - The large list modal is now editable (not just read-only), so you can make changes directly in place.
- Project Switching - Switching between projects now includes a loading indicator to improve visibility during transitions.
- Environment Indicators - You’ll now see which environments each audience or custom property is used in, making it easier to understand usage at a glance.
- Clearer Audit Log Diffs - The audit log now highlights the specific values that were added or removed, not just the changed fields.
- May 30, 2025
- Parsed from source:May 30, 2025
- Detected by Releasebot:Sep 27, 2025
Sort Features by Created Date
We’ve added a Created At column to the Feature List page!
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.
- May 15, 2025
- Parsed from source:May 15, 2025
- Detected by Releasebot:Sep 27, 2025
New Feature Overview Tab & Redesigned Feature Form
The Overview Tab consolidates key Feature context in one view—latest audit log, metadata, JIRA tickets, assigned maintainers, editable rollout notes, linked resources, and a Variables table. It’s part of a redesigned tabbed Feature Form with sections for Overview, Manage Feature, Data & Results, and Audit Log.
Overview Tab
The Overview Tab brings together the most essential information and context about your Feature in a single, easy-to-read view. This includes:
- A snapshot of the latest change in the Audit Log
- Key details like Feature name, key, type, tags, description, and status
- Associated JIRA Tickets
- Assigned Maintainers to clarify ownership and accountability
- An editable Markdown Feature Summary section for rollout notes, checklists, or internal documentation
- Linked Resources to tools like Notion, GitHub, or Figma for easy access to supporting documentation
- A Variables table with tags and descriptions for quick reference
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.
To learn more check out our docs 👉
- May 14, 2025
- Parsed from source:May 14, 2025
- Detected by Releasebot:Sep 27, 2025
Stop Gradual & Multi-Step Rollouts
You can now stop a rollout while it’s in progress, holding traffic at the current distribution percentage. This limits further exposure while preserving access for users who’ve already received the feature.
This is useful when catching bugs or regressions mid-deployment without needing to roll back entirely.
To continue, simply add a new rollout step—no reset required.