Manager problem brief
Explain why deterministic static evidence packets reduce manual dependency questions without turning review support into runtime proof.
Use cases
Use TraceMap when teams need repeatable static evidence for contract changes, release review, dependency surfaces, and partial analysis in repositories that do not always build cleanly.
Explain why deterministic static evidence packets reduce manual dependency questions without turning review support into runtime proof.
Answer stakeholder questions about static evidence, proof boundaries, partial coverage, ownership, and review follow-up.
Start with a reader question, then route managers, engineers, reviewers, planners, incident participants, and agents to the bounded proof surface.
Match changed DTOs, fields, properties, methods, endpoints, packages, and schema surfaces against indexed evidence.
Assemble coverage, diff, impact, contract, path, reverse, and gap sections into a static evidence packet.
Introduce TraceMap through public demo evidence, a candidate repository, deterministic scan packets, visible gaps, and owner follow-up.
Use static dependency evidence during a live P1 call to narrow which endpoint, route, code path, package, config, or SQL-facing surface needs inspection next.
Use static evidence to orient incident-adjacent code questions without claiming runtime cause, production behavior, or release safety.
Review endpoint-adjacent static paths, packages, config surfaces, SQL-facing surfaces, coverage labels, and limitations before deciding the next human review step.
Separate repository-snapshot questions from logs, traces, metrics, dashboards, traffic, performance, and service-owner interpretation.
Combine indexes from multiple services or languages while preserving source labels and commit SHAs.
Keep scanning with syntax, config, package, SQL, and project evidence even when semantic project load fails. See the legacy validation concept.
Give reviewers file spans, rule IDs, tiers, and limitations instead of a prose-only summary.
Use deterministic JSON, Markdown, and SQLite outputs to compare scanner behavior over time.
The goal is not to replace engineering judgment. The goal is to make dependency and impact review start from inspectable evidence instead of memory, broad text search, or one-off spreadsheets, so decisions can be revisited when scope, coverage, or contracts change. Start with the manager packet when the question is what this solves for a team.
The demo proof assets page shows public-safe visual examples of generated summaries, paths, diff and impact rows, and release-review checklists. The visuals are only for orientation; generated reports, rule IDs, coverage labels, and limitations remain the proof path.
The legacy validation concept explains how TraceMap plans to test old and unusually large .NET codebases without publishing local paths, private names, or raw generated artifacts.