How developers use AI.
ลิงก์ไปยังส่วนนี้Use Cases
Use Cases
While code generation still comes first, it's interesting to note that code review (a new option this year) has jumped straight to third place. After all, someone will eventually need to read through the 30k lines of codes the intern vibe-coded over the week-end…
What do you use AI tools for?
Multiple
ลิงก์ไปยังส่วนนี้AI Code Generation
AI Code Generation
The difference with last year is striking here. Back then the average respondent was using AI sporadically to generate a small percentage of their code, but today that same developer is much more likely to rely on AI for the bulk of their coding.
What proportion of the code you produce is AI-generated?
ลิงก์ไปยังส่วนนี้AI Code Refactoring
AI Code Refactoring
Similarly, using AI-generated code without having to refactor it first is no longer the exception, with many respondents reporting only needing to refactor around 25% of AI output.
When using AI to generate code, what proportion do you rewrite or refactor before use?
ลิงก์ไปยังส่วนนี้Reasons for Refactoring
Reasons for Refactoring
When respondents do need to refactor AI-generated code, the culprits tend to be poor code style and hallucinations. Interestingly, variable renaming does not seem to be as much of a factor anymore, pointing to the fact that LLMs are getting better at following instructions and learning from existing codebases.
What are the main reasons that require you to refactor AI-generated code?
Multiple
ลิงก์ไปยังส่วนนี้Code Generation Frequency
Code Generation Frequency
It seems clear that AI has become embedded in our work, with a majority of respondents using it multiple times per day, and a growing segment using it constantly.
How frequently do you use AI tools to generate or refactor code?
ลิงก์ไปยังส่วนนี้Other Tasks Frequency
Other Tasks Frequency
While the main focus of this survey is coding, other AI uses are also seeing increased used compared to last edition. After all if you trust AI with the main part of your job, it does seems logical to trust it with everything else, too.
How frequently do you use AI tools for tasks other than code generation?
ลิงก์ไปยังส่วนนี้Generated Code
Generated Code
Almost every type of generated code saw an increase compared to last survey, with tests in particular becoming a key reason to use AI.
What kind of code do you generate using AI tools?
Multiple
ลิงก์ไปยังส่วนนี้Personal Expenses
Personal Expenses
The proportion of respondents enjoying the benefits of AI without personally having to spend their hard-earned cash has dramatically shrunken year-over-year; while the $100-$500 monthly spend demographic is seeing significant growth. This may be due to the rise of coding agents, which often carry heavier financial costs compared to simple chatbots.
How much do the spend on AI tools per month (in USD)?
ลิงก์ไปยังส่วนนี้ภาคอุตสาหกรรม
ภาคอุตสาหกรรม
Don't hesitate to use our built-in Query Builder on any other chart to filter these survey results according to any specific industry sector.
คุณทำงานในอุตสาหกรรมใดบ้าง?
Multiple
ลิงก์ไปยังส่วนนี้Local AI
Local AI
More and more respondents have tried local AI models, and while they aren't as powerful as their cloud-based cousins right now, there is strong potential for disruption as they provide a cheaper alternative to traditional frontier labs models.
Have you tried running AI models locally on your own machine?
ลิงก์ไปยังส่วนนี้แหล่งข้อมูลที่แนะนำ
แหล่งข้อมูลที่แนะนำ
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