What's New
You can find information about the features introduced, enhancements, or other changes made in IBM® DevOps Loop.
What's New in DevOps Loop 2026.06 (2.0.2)
| Feature title | Description |
|---|---|
| Azure OpenAI integration for Loop Genie | You can now configure Azure OpenAI as AI provider in Loop Genie, that enables AI-powered workflows through Microsoft Azure services. See Configuring AZURE OpenAI integration. |
| External MCP server support in Loop Genie | You can now connect Loop Genie to external MCP servers that enable integration with third-party tools and services through the Model Context Protocol. See Configuring an external MCP server in a teamspace. |
| Harbor integration in DevOps Loop | You can configure Harbor as an integrated capability during DevOps Loop installation to provide container image storage, vulnerability scanning, and image management capabilities. See Harbor integration overview. |
| Updated user interface | You can experience a refreshed user interface across DevOps Loop with updated page designs that provide a more consistent, modern, and accessible user experience. |
| Demo data for segments in Learning Loop | You can now create a complete sample DevOps environment with preloaded data across the Plan, Control, Build, Deploy, and Test capabilities. The Learning Loop includes frontend and backend segments with ready-to-use repositories, build pipelines, and deployments that demonstrate end-to-end DevOps workflows. This environment enables hands-on practice without impacting production systems. See Learning Loop overview. |
| Enhanced Loop Genie - Tech Preview | Loop Genie now uses an enhanced ReAct execution model that dynamically determines the next action required to satisfy your request, evaluates results after each step, and invokes additional tools as needed, while displaying full tool activity (names, parameters, execution status, and results) inline for complete transparency. See Loop Genie overview - Tech Preview. |
| Model | |
| Added Design Assistant | You can use the AI-powered Design Assistant to answer questions about your project and perform design tasks, such as creating model elements, defining relationships, and cloning configuration by using natural language prompts. |
| Added support for project baselines and OML profiles | You can use project baselines and OML profiles to implement spec-driven development. OML profiles provide versioned, reusable modeling vocabularies, and project baselines bundle profiles with design recipes, documentation, and configuration for consistent project delivery. |
| Added support for design recipes | You can create and reuse design recipes that package coding standards, implementation guidelines, technology definitions, workflows, and versioned skills and commands. You can attach design recipes to project baselines and reuse them in the Design Assistant and Coding Assistant. |
| Design Assistant chat export | You can export the complete conversation from the current Design Assistant session as a text file by using the Export option in the chat sidebar. |
| Extended AI provider support | You can configure the Design
Assistant, ADR Sidekick, and Diagram Assistant to use OpenAI on
Azure and Amazon Bedrock in addition to the OpenAI platform. AI
provider credentials are managed centrally through the
k5-ai-credentials secret. |
| Support for design recipes | You can extend the Design Assistant with reusable design recipes that package versioned skills and commands. |
| Enhanced relationship management | You can create relationships directly from a model element's details page. You can also insert all related model elements into a diagram with a single action, making it easier to build diagrams when reverse-engineering existing projects. |
| Improved canvas toolbar | You can use the redesigned canvas toolbar to add model elements more efficiently. The toolbar separates new elements from existing ones, supports filtering, and enables selecting multiple elements to add them to the canvas simultaneously. |
| Rich text editor enhancements | You can use the new TipTap-based rich text editor for improved editing performance and collaboration. |
| Added preferred project branch support | You can continue working on your previously selected project branch because the Solution Designer remembers your last checked-out branch and opens that default branch when you return to the project. |
| Support for diagram-specific model element visualization | You can display model elements by using different visualization styles, including cards, expanded cards, shapes, or inline text, depending on the profile configuration. |
| Support to created stable share links | You can create stable share links for diagrams, model elements, and related views. You can choose links for the current branch or the main branch, copy them to the clipboard, or send them by email. The generated links remain valid even if items are renamed. |
| Added Modelling Support MCP server (Beta) | You can connect external AI clients to the Modelling Support MCP server when GraphQL modelling is enabled. |
| Added reverse engineering support (Beta) | You can generate an initial K5
design from an existing codebase by using the guided
generate-k5-design-from-code MCP prompt.
The workflow analyzes the implementation, proposes model
elements and relationships, requests confirmation, and writes
the approved design to the project branch. |
| Plan | |
| Code Genie support | The Code Genie feature provides an end-to-end integration within the Loop environment that allows you to generate source code directly from a work item. |
| Control | |
| Code Genie support | Control repositories created for Loops are now automatically configured to enable AI-assisted code reviews through Code Genie and the Copilot dev container. You can now use interactive code suggestions across your team during code reviews. |
| Deploy | |
| Azure OpenAI support for Deployment Genie | Added support for Azure OpenAI LLM integration in Deployment Genie for AI-assisted failure analysis. |
| Locking snapshot in process step | Added a new built-in step for locking snapshots in generic,
application, and component processes to ensure deployment audit
requirements. See Creating snapshots. |
| Exporting the draft process | Added the ability to export draft component processes in JSON and YAML formats for review workflows. |
| Amazon S3 archiving | Added native support for archiving component versions to Amazon S3 buckets with configurable policies and IAM authentication. |
| Deployment reports enhancements | The deployment reports are enhanced as follows:
See Deployment reports. |
| Plugin page enhancements | The Plugin page is enhanced as follows:
|
| Message of the Day formatting | Added CommonMark markdown formatting support (bold, links,
lists, headers, code blocks) to the Message of the
Day system settings. See System settings. |
| Enhanced MCP tools | Added the following MCP tools:
|
| Dependent generic process exclusion | Added an option to exclude dependent generic processes from the import operation. See Importing and exporting generic processes. |
| Additional truststore for server | Added support for an additional server truststore that is used alongside the JVM default truststore. It helps in storing keys specific to webhooks, email, and other TLS clients. |
| Test | |
| AI-powered test generation with Test Genie in Test Hub | You can now use Test Genie to automatically generate test assets within Test. By providing natural language instructions and connecting to a supported AI provider, you can accelerate your test creation process. While test steps are being generated, you can view AI interactions and session logs on the progress page. After the test generation is complete, you can view the generation metrics. See Test creation with Test Genie, Creating a Web UI test with Test Genie, and Modifying a Web UI test created by using Test Genie. |
| Support for the Anthropic AI provider | You can now add and manage the Anthropic AI provider on the Cloud Credentials page in Test. You can then use Anthropic to generate tests by using Test Genie, or to populate schema generator configurations when auto-assigning generators and configurations to each field in a data definition. See Management of cloud credentials, Test creation with Test Genie, and Auto-assigning generators and AI-provided data configurations to data definitions in the Schema View. |
| Personal agents for local test execution and debugging | You can now download, install, and start a personal agent directly from the Test Editor page. A personal agent is a local agent that provides a dedicated, isolated runtime environment to run Web UI tests and suites directly on your local machine so that you can visually observe UI interactions in real time and identify the exact point of test failure. See Management of the personal agent, Installing and starting the personal agent, and Stopping or unregistering the personal agent. |
| MCP support for authentication | MCP clients can now dynamically register with the authorization server (Keycloak) without requiring an offline token to be passed through the authentication header. When you connect to an MCP server endpoint in Test to access server-side tools directly from MCP clients, such as VS Code, you must provide your credentials to authenticate the connection. See Configuration of an MCP server endpoint and Configuring an MCP server endpoint in VS Code. |
| Support for local repository creation and asset management | You can now create standalone local repositories without a remote repository reference. These local repositories operate the same way as the remote repositories, and they can optionally be connected to an empty remote repository at a later point for synchronization. See Adding a repository to a team space. |
| Support for running server test assets and server suite assets on device clouds | You can now run server test assets and server suite assets on Android or iOS devices that are available through supported device clouds, such as BrowserStack Cloud, LambdaTest Cloud, and pCloudy Cloud. See Running server test assets by using a cloud credential and Configuring a run of a Web UI test to run by using a cloud credential. |
| Customization of environments with profile overrides | You can now configure profile overrides in custom environments so that you can easily change the target profile without changing your test script. When you run a test or a suite with a profile override, the default profile, such as a specific browser or emulated device, is substituted with a different target profile, such as a cloud-native device or an alternative browser. See Test environments, Creating an environment, and Modifying an environment. |
| Device emulation support on Safari for Web UI tests | You can now record and play back Web UI tests on the Safari browser in the device emulation mode. You can use the Phone (X-Large) and Tablet (X-Large) options that are available for Safari on Mac. See Web UI test creation. |
| Support for downloading the agent from the project’s Agents and Intercepts page | You can now download DevOps Test Runtime from the Agents and Intercepts page after navigating to your project from the initial team space. See Installing and registering DevOps Test Runtime agents. |
| Support for recording and playback of jQuery UI controls | You can now record and play back tests for supported jQuery UI controls. The Smartshot view includes a Filter by jQuery option that helps you identify supported jQuery UI controls when editing tests. See Editing a Web UI test. |
| Support for conditional flow control actions in Web UI tests | You can now use conditional flow control actions such as If, While, and Do-while directly in Web UI test steps. These actions support smartshots and use the same decision logic as verification points, so that you can perform steps based on the presence or state of a UI widget. The Pause step is renamed to Wait and now supports both UI and General modes. See Adding an If step, Adding a While step, Adding a Do-While step, and Adding a Wait step. |
| Support for moving or deleting tests with dependent assets | You can now move or delete tests along with their dependent assets. Assets that are referenced exclusively by a test are processed together with the test, while shared assets remain unaffected. References to shared assets are updated automatically to prevent any impact on the test run. See Test navigator panel. |
| Support for multi-select actions in Test Navigator | You can now select multiple assets in the Test Navigator and perform actions, such as editing, moving, and deleting, on all selected assets, which makes asset management more efficient. See Test navigator panel. |
| Easy navigation in Test Editor to access the failed and error steps in the suites | When you play back test suites in Test Editor, the three color-coded boxes display the counts of passed steps, failed steps, and errors. You can now view the step details of the first failed step or the step with an error by clicking the respective color-coded box. See Running a suite sequentially and Running a suite concurrently. |
| Support for viewing individual test results in Test Editor | You can now select and view individual test results directly within Test Editor. Result information is displayed in Test Editor, and step-level results are highlighted when the selected result matches the current version of the test. See Running a Web UI test. |
| Support for viewing configuration details in functional reports and test logs | You can now view configuration details directly in the functional report and test log. Configuration nodes for tests and modules display the initial variable values and dataset information to provide better visibility into the configuration used during test runs. Variable information is displayed in a more streamlined format to improve report readability and analysis. See Test logs and Viewing a Functional Report. |
| Support for generating negative test data from data definitions | You can now generate negative test data from data definitions to validate error handling and input validation scenarios. You can configure the type and amount of negative data that is generated, preview the generated data, and create datasets that combine invalid values, optionally, combined with valid data to support more effective, comprehensive testing. See Generating negative test data for a data definition. |
| Build | |
| UI Modernization | The user interface has been improved for better navigation and usability. |
| Support for Repository-based configuration files | You can now store Job as Code (JAC) configuration files, such as <config_file>.json or <config_file>.yaml, anywhere within your source code repository. When configuring a Job as Code step, you can specify the path to the configuration file relative to the repository root. During execution, the plugin retrieves the file from the branch that triggered the build and dynamically generates the build workflow. See Creating Job templates using the Job as Code plugin. |
| Measure | |
| Added Data retention policy | Product administrators can now configure data retention policy to archive or permanently delete historical data for the resource types, such as versions, builds, or issues. You can provide the retention period across VSM, team, or application scopes to optimize database performance, reduce UI clutter, and simplify compliance management. |
| Enhanced User Interface | The user interface is enhanced for better navigation and usability. |
| Enhanced MCP token exchange time | The Model Context Protocol (MCP) workflow is enhanced by adding a cache layer. This helps make MCP integration more responsive and reliable. |
| Added support for Jira, Jenkins, and GitHub | The Analytics dashboards can now display the data for Jira, Jenkins, and GitHub. |
| Code | |
| Updated user interface | The interface is refined to reflect a more intuitive user experience, featuring improved navigation and dark theme support. |
| Code Genie: AI-assisted development and PR reviews | You can now use the AI providers, including but not limited to GitHub Copilot and IBM Bob, to automate pull request workflows and Plan work item implementation with AI-powered code generation, security scanning, and AI-agent code review. |
| Enhanced extension registry support | You can now configure private extension registries for secure, administrator-controlled extension management with centralized configuration and on-premises hosting support. |
What's New in DevOps Loop 2026.03 (2.0.1)
The following table lists the new features, enhancements, or other changes made in DevOps Loop:
| Feature title | Description |
|---|---|
| AWS platform support | You can now install DevOps Loop on AWS. See Installation of DevOps Loop on Amazon Web Services (AWS). |
| IBM DevOps Solution Workbench (Model) capability in DevOps Loop | You can design and manage application architectures collaboratively by using AI-assisted modeling with Model. See Model. |
| Support for loop segments | You can manage multiple microservices within a single loop by creating independent segments with dedicated resources and integrations. See Loop Segments overview. |
| Enhanced Loop Genie - AI Assistant | You can now use predefined tasks from the Tasks tab to automate workflows and perform common DevOps operations. You can also review or reuse past interactions from the History tab within a unified workspace. See Loop Genie overview - Tech Preview. |
| New loop dashboards | You can now see three new dashboards available for your loop - Delivery dashboard, Quality and Security dashboard, and Productivity dashboard. See Dashboards and insights. |
| Dashboard enhancements | You can now view the Issue flow rate visualization, which replaces Issue Created vs. Issue Closed and includes total outstanding open issues, eliminating the need for a separate Total open issues chart. You can also view Lead time and Cycle time by calculated using the median (in days) for accurate insights. See Dashboards and insights. |
| Plan | |
| Support for the Plan MCP server | The Model Context Protocol (MCP) server is integrated to connect with AI-powered development environments (such as GitHub Copilot in VS Code), which enables management of DevOps Plan through natural language prompts by using MCP tools, helping in streamlining developer workflows. See Plan MCP endpoint and tools. |
| Control | |
| Support for the Control MCP server | DevOps Control enables AI-driven development by integrating AI agents through the MCP server. Through this integration, you can perform DevOps operations, including repository (create, fork, search) and code management (create/update/delete files, retrieve contents, manage branches), and collaboration workflows (creating, approving, and merging pull requests) by using natural language commands, with support for AI IDEs such as Visual Studio Code. See Control MCP endpoint and tools. |
| Support for Trivy security scan | DevOps Control repositories created in a loop are now automatically configured with Trivy security scanning, which runs on every pull request before code reaches the main branch. This feature automatically checks for vulnerabilities and misconfigurations, so that teams can enforce severity-based merge protection. |
| Git credential manager | After any Loop upgrade, you should remove cached credentials from the previous use of Git Credential Manager. See Managing Git authentication for developers. |
| Git credential manager update | You must remove cached credentials from previous use of Git Credential Manager after upgrading Loop to ensure proper authentication. See Managing Git authentication for developers. |
| Code | |
| Support for Log Viewer | You can now use Log Viewer in Code to view, filter, and download logs from dev containers and teamspaces for easier troubleshooting. |
| Support for Extension Registry - Tech Preview |
The Extension Registry is a tech preview feature for configuring local extension registries, so that you can control and publish approved extensions for teamspaces. |
| Support for Code Genie | The Code Genie feature now automates pull request workflows in Control repositories providing actionable insights, and automatically approving or rejecting PRs. |
| Build | |
| Support for the Build MCP server | You can now connect to the Build MCP server from external MCP clients such as VS Code and Claude Desktop to retrieve and update build resources directly from the external clients. |
| Test | |
| Support for downloading the agent from the Agents and Intercepts page | You can now download the DevOps Test Runtime from the Agents and Intercepts page to install and register the system as a local agent for playing back Web UI tests. See Installing and registering DevOps Test Runtime agents. |
| Support for device emulation | You can now use the device mode of browsers to record and run tests or suites. Test Hub supports a set of device profiles for phones and tablets of four different sizes. Depending on the device size that you select, the device opens in Edge or Chrome browser. See Web UI test creation, Recording a Web UI test, Running server test assets, Running server suite assets, and Running server test assets on an agent. |
| Support for running UI tests across multiple browsers in a single run | You can now run Web UI tests across multiple browsers in a single test run. This feature allows you to configure multiple browser environments and run the test against them simultaneously, helping you validate application behavior across different browsers more efficiently. See Running suites on multiple browsers and devices. |
| Support to define custom environments for test runs | You can now define custom environments to manage sets of variables such as application URLs and user credentials. When you run a test by using the environment, the variables defined in the environment dynamically replace the values within your test script. See Test environments, Creating an environment, and Modifying an environment. |
| Support for wildcard patterns to include or exclude multiple tests or suites for a test run | You can now use wildcard patterns to include or exclude multiple tests or suites by their name for a test run. You can configure the suite to select tests or suites by adding wildcard patterns. You can use a single asterisk (*) to match items within the same folder, or double asterisks (**) to match items in multiple subdirectories. See Running multiple suites or tests by using the wildcard pattern. |
| Support for individual results for test run as part of a suite | You can now view results for child tests that run as part of a parent suite. Each child test generates its own result, making it easier to review failures. These results are listed in the Results tab, where you can identify failed tests and analyze their results. See Test suite management and Test results and reports. |
| Support for viewing the run status of the asset during publishing | You can now view the run status of assets when reviewing changes on the Changes page before publishing. Each executable asset displays a colored status indicator in the parent row, so that you can view the most recent run result for that specific revision of the asset. See Publishing all changes in an Edit branch. |
| Enhanced test repair experience | You can now repair tests by using the Show Result option. You can view the result details, including run status, duration, statistics, and reasons for failures. You can analyze results and verify step details without switching back to edit mode. See Viewing step-level results and updating tests. |
| Enhanced smartshots access to update tests | You can now access additional smartshots to update the test by using the Replace Smartshot option in the step details pane. The Result Smartshots section displays smartshots from the last test run, and the Application Smartshots section displays all previously captured smartshots for the application. See Viewing step-level results and updating tests. |
| Support for multiple dataset configurations in server assets | You can now configure multiple datasets for server test assets, such as Tests and Suites to assign dataset values to test variables during the test run. This feature supports dynamic data usage during test runs by allowing additional datasets to populate test variables, enabling subsequent steps to use unique and data-driven values. See Multiple datasets in tests and test suites. |
What's New in DevOps Loop 2025.12 (2.0.0)
The following table lists the new features, enhancements, or other changes made in DevOps Loop:
| Feature title | Description |
|---|---|
| GKE platform support | You can now install DevOps Loop on Google Kubernetes Engine, with full support for Filestore NFS, DNS configuration, load balancers, and Helm-based installation. See Installing DevOps Loop on Google Kubernetes Engine (GKE). |
| Learning Loop enhancements | Learning Loop now provides an automated CI/CD demonstration flow from code changes to build, deployment, and a live updated webpage served through a new NgineX web server pod with a unique URL for each loop. See Learning Loop overview. |
| Support for DevOps Loop MCP server integration | You can now integrate the DevOps Loop MCP server with external MCP clients such as VS Code and Claude Desktop to retrieve and update loop resources directly from those tools. See Connecting Claude to the DevOps Loop MCP server. |
| Enhanced Loop Genie with multi-agent workflow engine |
Loop Genie now uses a multi-agent workflow engine that can perform multi-step automation, run complex tasks, and produce well-formatted responses by using models such as Claude Desktop, OpenAI, and Gemini. |
| Support for a centralized Loop Details page | You can now view all loop configuration details in one place through the new Loop Details page, including linked resources and team members, with options to add additional test projects and repositories. See Loop Genie overview - Tech Preview. |
| AI provider support for Loop Genie | You can now configure AI providers such as Claude Desktop and Gemini in DevOps Loop to enhance the AI capabilities of Loop Genie. See Configuring Claude integration, Configuring Gemini integration. |
| UI and accessibility enhancements | DevOps Loop UI is now improved with consistent color schemes, fonts, pagination, and alignment which provides a uniform and accessible user experience. |
|
Enhanced search capabilities |
The Search feature has been enhanced with new capabilities that make it easier to find and understand information across your loops. You can now search multiple artifact types including issues, builds, tool requests, commits, and deployments. You can also filter results by selecting a loop. See AI-powered search. |
| Support for mixed licensing tiers | As an administrator, you can now
assign users to different licensing tiers: Essential, Standard,
or Premium with access and feature availability automatically
adjusted based on the selected tier. Non-admin users receive a tier during onboarding, and admin users automatically receive the highest tier available. See DevOps Loop licensing information. |
| Plan | |
| UI enhancements for query links and work item subscriptions | You can now copy query links to the clipboard and more easily subscribe other users to work items. |
| Enhancements to Schema Designer | You can now apply new schema revisions directly to your application, including adding and editing record-type Fields, Actions, and States. |
| Code | |
| Viewing metrics in the running dev containers | You can now get real-time visibility into key dev container resource metrics to help optimize performance. See Working with dev containers. |
| Support for automated SSH authentication by using the Open with DevOps Code UI option | You can now securely clone a Control Git repository by using the DevOps Code UI with SSH authentication. See Authenticating with DevOps Code UI. |
| Support for temporary GitHub Copilot in dev containers | You can now configure a dev container to support GitHub Copilot for AI-powered code suggestions and chat assistance. See Installing GitHub Copilot in dev containers. |
| Build | |
| Automatic Build agent configuration | Build agents are now automatically configured and added to the agent pool during the teamspace initialization. |
What's New in DevOps Loop 2025.10 (1.0.3.1)
This fix pack release focuses solely on stability improvements and defect fixes. No new features are introduced this time.
What's New in DevOps Loop 2025.09 (1.0.3)
The following table lists the new features, enhancements, or other changes made in DevOps Loop.
| Feature title | Description |
|---|---|
| Support for installation of DevOps Loop in an air-gapped environment | You can install DevOps Loop in environments without internet access. See Installation of DevOps Loop in an air-gapped environment. |
| Support for private CA and self-signed certificates | You can now configure DevOps Loop to trust private or self-signed certificates. See Private CA and self-signed certificate support. |
| Support for backup and restoration of DevOps Loop data | You can now back up and restore DevOps Loop data by using Velero and Minio for disaster recovery and upgrades. See Backup and restoration of DevOps Loop. |
| Support for upgrading DevOps Loop | You can now upgrade DevOps Loop with support for restoring configurations and resources if needed. See Upgrading DevOps Loop. |
| Support for IBM floating token licensing | You can now configure and use floating token licensing in DevOps Loop. Licenses automatically return to the pool in case you log off, sessions expire, or browsers are closed. See Configuring floating token licensing. |
| Support for Learning Loop with built-in sample data | You can now use sample data for Build, Control, Deploy, and Plan by enabling Learning Loop for training and experimentation without affecting production data. See Learning Loop overview. |
| Support for IBM watsonx integration for Loop Genie | You can now integrate IBM watsonx in DevOps Loop to enhance the AI capabilities of Loop Genie. See Configuring IBM watsonx integration. |
| Enhanced Loop Genie AI assistant - Tech Preview | You can now use Loop Genie as an intelligent, chat-based assistant to manage teamspace users, loops, and perform control actions such as creating branches or managing pull requests. New features also include voice interaction and improved tracking capabilities. See Loop Genie overview - Tech Preview, Prompt references for Loop Genie. |
| Support for customizing Dashboards | You can now edit dashboards, swap panels, clone panels, and add titles directly within DevOps Loop, which provides enhanced customization and visibility. See Dashboards and insights. |
| Support for Search across issues | You can now search for issues such as epics, defects, and stories across loops and teamspaces. Search results include issue metadata, associated URLs, and AI-generated summaries with results filtered by your access permissions. See AI-powered search. |
| Support for loop enabling or disabling functionality | You can now enable or disable loops. Disabling a loop moves it to a Disabled tab and stops associated plugins and webhooks, while re-enabling the loop restores all previously disabled functionality. See Disabling a loop and Enabling a loop. |
| Support for Build integration | Build is now automatically set up during loop and teamspace creation, which streamlines resource setup and CI/CD steps. |
| Support for UI and accessibility enhancements | You can now experience improved UI consistency across DevOps Loop, including updated color schemes, fonts, pagination, and alignment which provides a uniform and accessible user experience. |
| Support for removing members from Teamspaces and Loops | You can now remove members from loops, which automatically removes them from all associated capabilties of DevOps Loop. After you remove members from loops, you can also remove the members from their teamspaces. See Removing a member from a loop and Removing a member from a teamspace. |
| Measure | |
| Support for integration with Measure to export test execution metrics | You can now integrate Test Hub with Measure by using a webhook and specify additional parameters related to the test run so that you can view the summary metrics of the test run in the Measure dashboard. The results are categorized based on the type of test – Functional, Unit tests, API, and Performance. |
| Code | |
| Support for launching Dev Containers via URL | You can now launch Dev Containers directly from a shared URL in DevOps Code, not just from the landing page, enabling quicker access and simplified collaboration. |
| Support for viewing running Dev Containers | A new Running Containers tab is available on the landing page to show active Dev Containers in DevOps Code for improved visibility and management. |
| Display of Dev Container descriptions in UI | Each Dev Container tile on the landing page now displays its description, helping users understand the container’s purpose before launching it. |
| Inclusion of sample Dev Containers in new teamspaces | Each newly created teamspace is now prepopulated with a set of sample Dev Containers, enabling users to explore and start development quickly without manual setup. |
| Support for Git device code authentication | You can now authenticate Git operations using device code authentication, ideal for secure or restricted environments. |
| Support for embedding preinstalled extensions in Dev Container images | As an admin, you can now embed extensions directly into Dev Container images, ensuring they are preinstalled at launch - ideal for air-gapped environments without access to online extension registries. |
What's new in DevOps Loop 2025.06 (1.0.2)
The following section lists the new features, enhancements, or other changes made in DevOps Loop:
| Feature title | Description |
|---|---|
| Support for teamspace creation | You can now create teamspaces for your teams in DevOps Loop and the linked teamspaces in all the integrated applications such as DevOps Plan, DevOps Control, DevOps Code, DevOps Test, DevOps Deploy, DevOps Measure, and DevOps Release. See Teamspace management, Creating a teamspace, and Adding or inviting members to a teamspace. |
| Support for loop creation | You can now create loops to define your DevOps workflow in all the integrated applications such as DevOps Plan, DevOps Control, DevOps Test, DevOps Deploy, DevOps Measure, and DevOps Release. See Loop management, Creating a loop, Working with Loop Genie, and Dashboards and insights. |
| Support for OpenSearch dashboards | You can now view the visualization of the data that is gathered through the DevOps activities in the integrated applications. See Dashboards and insights. |
| Integration of AI providers - Tech Preview | You can now integrate AI providers such as OpenAI and Ollama to enable Loop Genie to search and summarize the project data in a loop. See AI provider integration for Loop Genie - Tech Preview, Configuring OpenAI integration, Configuring Ollama integration. |
| Integration of Loop Genie - Tech Preview | You can now use the Loop Genie chatbot to answer your queries related to the project in a loop. See Working with Loop Genie. |
| Revoking licenses | You can now revoke licenses for users when they are no longer required in a project. See Revoking a license. |
| Integration of Build | You can now configure and use DevOps Build as part of the platform for managing continuous integration and build processes. |
| Support for custom dev containers | DevOps Code now supports custom dev containers. A teamspace owner can configure the dev containers accessible to the members. The configuration is based on the Dev Containers specification. You can push specifications of Dev containers to a Control Git repository to version the containers. |
| Support for a new landing page | DevOps Code now includes a new landing page. From the landing page, you can select the teamspace that you want to work and choose the branch from where you can fetch the available dev containers. You can launch, open, or terminate Dev containers directly from this landing page. |
What's new in DevOps Loop 2025.03 (1.0.1)
| Feature title | Description |
|---|---|
| Support for additional platforms | Now, you can install DevOps Loop on
the following platforms:
|
| Integration of DevOps Code | You can now use DevOps Code (Code) as part of the platform. Code is a cloud-based integrated development environment for creating and managing your code. See Code. |