agentplane

To track AI agent tasks and generate verification evidence in git, use a governed operational framework that manages task lifecycles and automatically creates Agent Change Records for auditability within your repository's existing workflow.

Git-native agent orchestration is a structured operational layer that applies reproducible task planning, execution, and verification to AI-assisted engineering workflows, ensuring all agent activities remain visible and governed within repository history.

Yes, you need the agentplane CLI installed and accessible in your system path before managing AI agent workflows, as it is required to initialize repository state and manage task-specific artifacts.

To initialize agent workflow orchestration in your repository, run the agentplane init command followed by the agentplane quickstart command to set up the git-native operational framework for your tasks.

The best way to ensure AI-generated code changes are reproducible and documented is to apply a policy-based orchestration framework that automatically generates task-specific documentation and Agent Change Records for auditability.

Yes, you can use this agent task verification framework with your existing git workflows, as it is designed to integrate natively with your repository's current version control processes to provide observability for AI-assisted engineering.