Opportunities

Opportunities represent automatically identified areas for code improvement. The system continuously scans repositories to find optimization potential.

How Opportunities Work

1. Scanning: Agents periodically analyze configured repositories

2. Analysis: Code patterns, anti-patterns, and improvement areas identified

3. Classification: Each opportunity assigned confidence level (High/Medium/Low)

4. Presentation: Results displayed in web dashboard for review

Opportunity Types

• Code Quality: Duplicated code, complex methods, poor naming

• Performance: Inefficient algorithms, resource leaks, bottlenecks

• Security: Vulnerable dependencies, unsafe practices

• Modernization: Deprecated APIs, outdated patterns

• Testing: Low coverage areas, missing test cases

Confidence Levels

• High: Clear improvement with minimal risk

• Medium: Beneficial change with moderate complexity

• Low: Potential improvement requiring careful review