/find-issue

The find_issues endpoint is an intelligent diff analyzer that identifies potential breaking changes and their ripple effects across your codebase. Think of it as having a vigilant code reviewer who instantly understands how your changes impact every connected component, service, and dependency.

What Makes Deep Issues Unique

Unlike traditional diff tools that show what changed, Deep Issues:

• Predicts impact across your entire codebase, not just the changed files

• Identifies breaking changes before they reach production

• Traces dependency chains to find affected consumers

• Understands semantic changes beyond syntax modifications

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API/MCP Reference

Request Format

{
  "tool": "issue",
  "parameters": {
    "input": [
      "@@ -10,7 +10,7 @@ router = APIRouter()",
      "",
      "[email protected](\"/foo\")",        // Original endpoint
      "[email protected](\"/foo/bar\")",    // Modified endpoint - potential breaking change
      " async def get_users()"
    ],
    "repositories": ["backend/api", "frontend/app"],  // Check impact across repos
    "session_id": "analysis-123"                      // Track conversation context
  }
}

Parameters

Parameter	Type	Required	Description
input	string	Yes	Git diff format changes or textual description of modifications. Include context lines for better analysis.
repositories	array	No	List of repository identifiers to analyze for impact. Format: org/repo
session_id	string	No	Unique identifier to maintain context across multiple analyses in a session.

🚀 Recommended Analysis Strategies

• Include sufficient context - Provide several lines before and after changes for accurate analysis

• Specify affected repositories - Include all repos that might consume the changed code

• Group related changes - Analyze related modifications together for comprehensive impact assessment

• Use session_id for complex migrations - Chain multiple analyses for large refactoring projects

• Include semantic descriptions - Add comments about the intent of changes for better recommendations