ultraplan

A DAG-based execution plan structures complex engineering tasks by mapping dependencies into a directed acyclic graph. It identifies clear parallelism opportunities and file-level impacts, ensuring coordinated execution across cross-cutting feature implementations and architectural migrations.

Multi-agent planning for complex engineering changes uses parallel agents to concurrently research architecture, surface prior art, analyze risks, and evaluate tests. This coordinated exploration prevents overlooked integrations and insufficient test coverage before generating a structured execution strategy.

Yes, you can generate a dependency graph for a multi-service feature rollout. The planning process synthesizes parallel research outputs into a DAG-based execution plan that maps clear parallelism opportunities and file-level impacts before any code changes are made.

Yes, an approval gate is required prior to execution. The planning process produces a risk matrix, file-level impact lists, and a DAG-based execution plan, establishing an approval gate to ensure all dependencies and risks are reviewed before any code changes occur.

Before executing a proposed system-wide change, you should review the DAG-based execution plan, risk matrix, and file-level impact list. The planning process establishes an approval gate prior to execution to ensure all dependencies and risks are properly mitigated.

You should not use multi-agent planning for simple linear tasks. It is designed for ambiguous, cross-cutting, or high-risk engineering changes that require deep research, dependency mapping, and structured risk management rather than a straightforward execution strategy.