architecture-data-flow-trace

To trace runtime data flow across multiple entrypoints, you map end-to-end execution paths from API layers through services and models to external systems. This relies on the current codebase to document orchestration paths and identify how asynchronous requests propagate across boundaries.

Debugging eventual consistency behavior requires mapping state transitions and asynchronous tasks over time. By tracing the runtime architecture from the codebase, you can document state boundaries and identify where write and read paths diverge across the system.

Mapping asynchronous jobs involves tracing task layers and state boundaries directly from the source code. This process identifies entry points, documents orchestration paths, and highlights state transitions to reveal drift and repair opportunities.

Runtime architecture tracing works for post-mortem analysis by reconstructing how requests flowed through code and how state changed over time. It maps cross-layer interactions from API entrypoints to external systems, documenting the exact write and read paths involved.

Using the codebase for end-to-end data flow tracing is limited to documenting the static architecture and inferred runtime paths. It may not capture dynamic external system behaviors or undocumented state changes occurring outside the current code during actual execution.