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Building a Multi-Repository Intelligence Platform

Alex Rivera
December 15, 2024
8 min read

Building a Multi-Repository Intelligence Platform

Modern software isn't built in a single repository. It's distributed across multiple repos, each with its own purpose, team, and evolution. At Skopx, we've built a platform that understands your entire ecosystem, not just individual repositories.

The Architecture Challenge

Consider a typical modern stack:

  • Frontend repository (React/Vue/Angular)
  • Multiple backend services (microservices)
  • Infrastructure as Code (Terraform/CloudFormation)
  • Mobile apps (iOS/Android)
  • Shared libraries
  • Documentation repos

Each repository tells part of the story. Understanding the whole requires connecting all the pieces.

Our Technical Approach

1. Distributed Indexing

We index each repository independently, then build a unified knowledge graph:

# Simplified indexing pipeline
for repo in repositories:
    ast = parse_repository(repo)
    embeddings = generate_embeddings(ast)
    graph.add_nodes(repo, ast, embeddings)
    graph.add_edges(find_dependencies(repo))

2. Cross-Repository Dependency Analysis

We analyze:

  • Package dependencies
  • API calls between services
  • Shared database schemas
  • Message queue topics
  • Event streams

This creates a comprehensive map of how your services interact.

3. Unified Embedding Space

All code from all repositories is embedded in the same vector space. This allows us to find similar code across repos:

  • Similar patterns
  • Duplicate implementations
  • Shared logic that could be extracted

4. Temporal Understanding

We track how code evolves across repositories:

  • Coordinated deployments
  • Breaking changes and their fixes
  • Feature rollouts across services

The Knowledge Graph

Our knowledge graph connects:

  • Code: Functions, classes, modules
  • Documentation: READMEs, wikis, comments
  • Changes: Commits, PRs, reviews
  • People: Authors, reviewers, maintainers
  • Operations: Deployments, incidents, rollbacks

Real-World Use Cases

Use Case 1: API Evolution

Question: "How will changing the user API affect other services?"

Skopx analyzes:

  1. All services consuming the user API
  2. The specific endpoints they use
  3. The fields they depend on
  4. Historical breaking changes and their resolutions

Result: Complete impact analysis across all repositories

Use Case 2: Security Audit

Question: "Where do we store sensitive data?"

Skopx identifies:

  • Database schemas with PII
  • API endpoints handling sensitive data
  • Encryption/decryption locations
  • Audit logging implementations

Across ALL repositories, not just one.

Use Case 3: Performance Optimization

Question: "What are our slowest database queries?"

Skopx finds:

  • All database queries across services
  • Their execution patterns
  • Related caching logic
  • Previous optimization attempts

Technical Deep Dive: The Indexing Pipeline

Step 1: Code Parsing

We use language-specific AST parsers:

  • TypeScript/JavaScript: @babel/parser
  • Python: ast module
  • Java: Eclipse JDT
  • Go: go/parser

Step 2: Semantic Analysis

For each code element, we extract:

  • Purpose and functionality
  • Input/output types
  • Dependencies
  • Side effects

Step 3: Embedding Generation

We use multiple embedding strategies:

  • Code structure embeddings
  • Natural language embeddings from comments
  • Behavioral embeddings from tests

Step 4: Graph Construction

Nodes represent:

  • Code elements (functions, classes)
  • Documents
  • Infrastructure resources

Edges represent:

  • Calls/invocations
  • Inheritance
  • Data flow
  • Deployments

Performance Considerations

Indexing multiple large repositories presents challenges:

  1. Scale: Millions of lines of code
  2. Updates: Continuous changes
  3. Query Speed: Sub-second responses

Our solutions:

  • Incremental indexing (only reindex changes)
  • Distributed processing with worker queues
  • Caching at multiple levels
  • Optimized vector search with HNSW indices

The Future

We're working on:

  • Real-time indexing: Updates as you push
  • Predictive analysis: "This change might break X"
  • Automated refactoring suggestions: Based on patterns across repos
  • Cross-language understanding: Seamless Java ↔ Python ↔ Go analysis

Try It Yourself

Connect your repositories and see the insights: Get Started


Alex Rivera is the Chief Architect at Skopx, leading the development of our multi-repository intelligence platform.

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Alex Rivera

Contributing writer at Skopx

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