Dependency Mapping Across Dozens of Microservices Repositories
Combining code analysis, runtime data, and SBOMs reveals hidden dependencies at scale.
12 stories
Combining code analysis, runtime data, and SBOMs reveals hidden dependencies at scale.
Code search and task decomposition make cross-team refactors manageable.
Staff engineers use cross-repository code search to find hidden dependencies before they break.
Semantic code search transforms monorepos from overwhelming to navigable on day one.
Senior engineers are the real bottleneck when onboarding new hires to legacy code.
Unified code search across repositories cuts onboarding time and senior engineer interruptions.
Documentation of past decisions prevents costly repetition as engineering teams grow.
Static documentation decays faster than code changes, making wikis unreliable for engineering teams.
When senior engineers leave, 80% of their knowledge walks out the door with them.
Measuring onboarding by time to tenth merged PR shows teams improving ramp time by half.
Speed gains disappear when you measure what actually ships and breaks.
DORA metrics miss coordination overhead and dependencies that shape large engineering orgs.