dependency-mapping

To visualize project dependencies and detect cycles, you need a project description with at least five named nodes to generate a directed graph. This process surfaces bottlenecks, critical paths, and single points of failure using Mermaid flowcharts.

Calculating the critical path requires providing task durations alongside your named nodes and dependency edges. The analysis computes the longest sequence of dependent tasks, highlighting project bottlenecks and rendering Gantt-like diagrams for visualization.

Generating Mermaid diagrams from component relationships requires mapping hard, soft, enabling, or data edges between at least five named nodes. The output includes flowcharts and Gantt-like diagrams, with optional PNG exports for sharing.

Mapping single points of failure across teams and systems involves building a directed dependency graph from your named nodes. The analysis identifies bottlenecks and cycles, ensuring traceability from inputs to edges while flagging inferred relationships as Assumed.

Dependency mapping is designed for projects with multiple named nodes, specifically requiring at least five to function effectively. For smaller projects, the directed graph analysis and cycle detection may not yield meaningful bottleneck or critical path insights.

Inferred dependency edges are labeled as Assumed to enforce traceability from inputs to the final graph. This clearly distinguishes explicitly provided relationships from those deduced during analysis, ensuring transparency in bottleneck and cycle detection.