This research introduces a novel approach to automate code refinement by focusing on understanding reviewers' intentions rather than just technical details.

Key Innovations:

• Addresses the growing burden of iterative code review in complex software projects
• Leverages deep learning to interpret reviewers' intentions and automatically implement improvements
• Outperforms traditional automated refinement methods by focusing on intent rather than just code mechanics
• Potentially reduces development cycles and improves code quality at scale

Business Impact: This approach could significantly reduce engineering overhead in software development by streamlining the refinement process, allowing teams to deliver higher quality code with less manual review effort.

Intention is All You Need: Refining Your Code from Your Intention