• 2 min čtení
Recently, we blogged about Mr. RIGANTI - our AI agent running in Azure DevOps. We built it as an internal tool to increase our productivity and code quality, thanks to AI-powered code reviews and agentic implementation of work items. It uses webhooks provided by Azure DevOps to respond to events in the organization, such as assigning a work item or a pull request to the agent, and calls Azure DevOps API to interact with the project and its Git repository. The AI agent itself runs in Azure Pipeline, where it can interact with the source code, and uses OpenCode or Codex CLI tools connected to Microsoft Foundry-hosted AI models - Claude Sonnet 4.6 and GPT-5.4-Codex (more models coming soon).
After a couple of months, we had enough feedback to operate the service reliably, and we decided to publish it on the Azure Marketplace. We have several pricing plans based on the number of Azure DevOps projects and real token usage, starting with the Single plan, which doesn't incur any regular monthly fees - you pay only for tokens. It is a great way to start and try it on your first Azure DevOps project.
You can purchase Mr. RIGANTI through Azure Portal - the costs will be added to your regular Azure bill. The plan can be upgraded and downgraded at any time - the only difference is the number of Azure DevOps projects in which you have Mr. RIGANTI onboarded and enabled.
Along with the monthly fee, you pay for actual token usage. The exact costs in your project are difficult to estimate (we are working on a blog post featuring a couple of real-world examples soon), but given the productivity gains, we were amazed by how low the actual cost is - it was definitely worth it!
If you want to see the service in action, contact us - we'll be happy to schedule a demo and answer any questions!
We also support on-premises deployments and integration with Azure DevOps Server. This is a bit harder to set up, but several customers already use it.