Overview
Coding assistants are AI agents integrated into development workflows. They generate code, explain existing code, help debug issues, and assist with refactoring and optimization.
Key Capabilities
- Code generation from natural language descriptions
- Code explanation and documentation
- Bug detection and fixing suggestions
- Refactoring and optimization recommendations
- Multi-file context understanding
Evaluation Dimensions
Correctness
- Does generated code compile/run?
- Does it pass test cases?
- Are there security vulnerabilities?
Quality
- Code readability and maintainability
- Adherence to style guides
- Appropriate error handling
Productivity Impact
- Time saved on coding tasks
- Reduced debugging time
- Learning curve for new codebases
Unique Challenges
- Understanding project-specific conventions
- Handling legacy code and technical debt
- Security implications of generated code
- Maintaining context across large codebases