Qodo：2025年人工智能（AI）代码质量状况报告（英文版）（18页）.pdf

1、2025 Stateof AI Code Qualityqodo reportIntroductionAI coding is no longer judged by how much code it can generate it is judged by how confident developers are with the code generated.AI tools have become a daily fixture in software development,offering clear productivity boosts and even enhancing th

2、e enjoyment of the work.Yet,despite their widespread use,a deep trust in their output remains elusive.Developers arent satisfied with code that merely compiles they want intelligent suggestions that are context-aware,adhere to conventions,and are backed by tests.Without this,AI-generated code still

3、demands heavy human oversight,and that undermines its promise of efficiency.To close this trust gap,AI must become more than just an autocomplete engine.It needs to be embedded deeply within the development lifecycle as an always-on,context-aware reviewer that proactively supports code quality and c

4、onsistency.This is a call for both toolmakers and engineering teams to prioritize trust alongside productivity by investing in continuous review,automated testing,and integrated context awareness.Only with that foundation can AI truly transform software development.Itamar FriedmanCo-founder&CEO,Qodo

5、2025 state of AI code quality qodo.ai2025 Qodo All rights reserved2Executive Summary:In a 2025 survey of 609 developers across company,sizes and regions,three themes emerged.30%1Context is the foundation of trust65%of developers using AI for refactoring and 60%for testing,writing,or reviewing say th

6、e assistant misses relevant context.Among those who feel AI degrades quality,44%blame missing context;yet even among quality champions,53%still want context improvements.The#1 requested fix is improved contextual understanding(26%of all votes);adding customization to team standards lifts context-fir