AI models writing and debugging code at scale

Modern AI models can now generate full functions, detect errors, and suggest fixes across large codebases. Companies use AI to speed up migration work, improve test coverage, and reduce repetitive coding tasks. It also helps identify vulnerabilities faster.

Main Findings

• AI handles boilerplate and routine debugging well
• Improves developer productivity and reduces backlog
• Works best when paired with human review for edge cases

Question: Do you think large-scale AI-assisted coding will make teams smaller or just faster?