Detect Downstream Impact in Pull Requests
Understand how code changes affect dependent services, APIs, and components before merging. Prevent breaking changes from reaching production.
Breaking changes caught before merge
Impact detected in seconds
Per repository average
After enabling impact detection
See Downstream Impact Detection in Action
Visualize how changes propagate through your codebase
PR #2847: Update AuthService
Changes to authentication module detected
Impact Chain
validateToken() signaturevalidateToken() - needs updateDownstream consumer
Downstream consumer
Downstream consumer
Breaking Changes Detected
validateToken() no longer accepts `options` parameter
8 consumers affected
validateToken() now returns Promise<TokenResult> instead of Promise<boolean>
12 consumers affected
refreshToken() renamed to renewToken()
5 consumers affected
Impact Detection Features
Everything you need to understand the blast radius of code changes
Dependency Graph Analysis
Automatically builds and maintains a graph of all dependencies in your codebase to trace impact.
- Auto-generated graphs
- Cross-repo tracking
- Real-time updates
Breaking Change Detection
Detects changes to function signatures, APIs, and interfaces that may break downstream consumers.
- API contract checks
- Signature analysis
- Type compatibility
Service Impact Mapping
Maps which microservices and applications are affected by changes in shared libraries.
- Microservice tracing
- Shared lib analysis
- Team notifications
Blast Radius Scoring
Get a quantified risk score based on how many components and services are affected.
- Risk quantification
- Severity levels
- Historical comparison
Pre-merge Validation
Block merges that would introduce breaking changes without proper coordination.
- Quality gates
- Approval workflows
- Safe deployment
Instant Notifications
Alert dependent teams when changes affect their services so they can prepare.
- Team alerts
- Slack integration
- Email notifications
Teams Trust Our Impact Detection
See how engineering teams prevent breaking changes
We caught a breaking change that would have affected 14 downstream services. Impact detection paid for itself in one PR.
Detecting downstream impact before merge has completely changed how we review PRs in shared libraries.
Our deployment rollback rate dropped by 70% after we started using downstream impact detection.
Downstream Impact FAQ
Common questions about detecting impact in pull requests
Downstream impact detection analyzes how changes in your pull requests affect dependent code, services, and applications. It traces the dependency graph to identify all components that could break due to your changes, helping you understand the 'blast radius' before merging.
CodeRaptor builds a comprehensive dependency graph by analyzing imports, API contracts, and service dependencies. When you open a PR, it traces which functions and modules are changed, then follows the dependency chain to identify all affected consumers.
Yes! CodeRaptor analyzes function signatures, parameter types, return types, and API contracts. It detects breaking changes like removed parameters, changed types, renamed functions, and modified response schemas.
Absolutely! CodeRaptor tracks dependencies across microservices through shared libraries, API contracts (OpenAPI/GraphQL), and event schemas. It alerts teams when their services might be affected by changes in dependencies.
The blast radius score is calculated based on: number of affected files, number of dependent services, criticality of affected components, frequency of use, and historical incident data. Higher scores indicate changes that need more careful review.
Yes! You can configure quality gates to require additional reviewers, specific approvals from affected teams, or completely block merges when blast radius exceeds thresholds. Rules are customizable per repository.
Stop breaking changes before they break production
Detect downstream impact in every pull request automatically