ado-work-on

Azure DevOps work item management can be automated using a two-phase workflow that conducts initial analysis, designs a solution, creates a plan, and subsequently executes and publishes pull requests based on user feedback.

Autonomous development workflow in Azure DevOps automates the end-to-end process of analyzing a problem, designing a solution, planning, and implementing code changes. It reduces manual oversight by requiring explicit user approvals only at designated checkpoints.

To start the autonomous development workflow for an Azure DevOps work item, use the 'ado-work-on <id>' command. This initiates the first run phase where initial analysis and planning are posted directly to the work item.

Yes, the Azure DevOps autonomous development workflow requires explicit user feedback and approvals. After the initial analysis and planning phase, subsequent runs incorporate your feedback, execute the plan, and verify pull requests before publishing.

Yes, autonomous development can handle code review and pull request automation in Azure DevOps. The workflow executes planned implementation steps, verifies the changes, and publishes the pull requests automatically after receiving user approval.

The two-phase workflow for Azure DevOps work items requires a capable implementation of the development workflow and access to Azure DevOps work items. It relies on explicit user feedback and approvals between phases, meaning it does not proceed fully autonomously without manual checkpoints.