What percentage of 108 surveyed engineers by TWOSTONE&Sons view AI workflow changes positively?

Nearly 90% of the 108 engineers surveyed by TWOSTONE&Sons view AI-driven workflow changes positively.

How many developers were included in the TWOSTONE&Sons survey about AI tool usage?

The TWOSTONE&Sons survey about AI tool usage included 108 developers who utilize AI in their work.

What new skill is becoming more important than coding ability according to the TWOSTONE&Sons survey?

The ability to evaluate AI output is becoming more important than coding ability according to the survey.

Which company conducted the survey involving 108 AI-utilizing engineers in 2024?

TWOSTONE&Sons conducted the survey involving 108 engineers who use AI tools in their development workflow.

What specific task do AI-utilizing engineers report saving significant time on according to the survey?

AI-utilizing engineers report saving significant time on coding and testing tasks due to AI integration.

[Survey of 108 AI-Utilizing Engineers] Is 'AI Stealing Jobs' True? — 90% Positively Embrace Workflow Changes; 'Ability to Evaluate AI Output' Outweighs 'Coding Ability'

Published May 21, 2026 8:00 PM ・ Updated Jun 14, 2026 3:15 PM ・ 4 min read ・ Source: PR TIMES

TWOSTONE&Sons surveyed 108 developers who use AI tools. Nearly 90% view AI-driven workflow changes positively, citing significant time savings in testing and coding. However, new responsibilities such as prompt engineering and AI output review are emerging, shifting requirements toward mastering AI orchestration.

Survey Background and Purpose TWOSTONE&Sons conducted a survey on 108 software developers who have used AI tools (such as GitHub Copilot, Claude, and ChatGPT) or AI agents in their work within the past six months to understand how AI is transforming development workflows.

Key Findings ### 1. Reduction and Efficiency in Workflow Respondents reported significant time savings in tasks such as 'Test execution/result confirmation' (38.9%), followed by 'Test code creation' (38.0%) and 'Standardized coding, such as CRUD operations' (38.0%). This demonstrates that AI is successfully alleviating the manual burden of routine tasks.

### 2. Emerging New Responsibilities Conversely, 72.2% of engineers noted that new or increased responsibilities have emerged. These include 'Prompt design/optimization' (52.6%), 'Integration and refactoring of AI-generated code' (41.0%), and 'Review and quality assurance of AI output' (38.5%), indicating that the use of AI introduces new management and coordination requirements.

### 3. Shift in Awareness and Positive Reception Approximately 90% of engineers view these changes positively. Engineers feel that the 'breadth of required skills has expanded' (53.8%), signaling that they welcome the change and perceive it as an opportunity to extend their capabilities.

### 4. Impact on Project Management Changes in project delivery were also reported, including 'Increase in short-term projects' (38.0%), 'Improved development speed' (36.1%), and 'Cases of simultaneous multi-project handling' (34.3%). AI adoption is not only enhancing individual productivity but also driving agility across entire projects.

Survey Methodology - Title: Survey on Workflow Transformation for AI-Utilizing Development Engineers - Method: Internet survey planned by 'Re-a-py', a research marketing platform provided by IDEATECH - Period: May 7 – May 8, 2026 - Participants: 108 developers who have utilized AI in their work within the last six months

Source: TWOSTONE&Sons Co., Ltd. (Stock Code: 7352)

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Source: PR TIMES
Category: Survey
Organizations: TWOSTONE&Sons / IDEATECH
Products / services: GitHub Copilot / Claude

[Survey of 108 AI-Utilizing Engineers] Is 'AI Stealing Jobs' True? — 90% Positively Embrace Workflow Changes; 'Ability to Evaluate AI Output' Outweighs 'Coding Ability'

⚡ Key Points

Survey Background and Purpose TWOSTONE&Sons conducted a survey on 108 software developers who have used AI tools (such as GitHub Copilot, Claude, and ChatGPT) or AI agents in their work within the past six months to understand how AI is transforming development workflows.

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