Docker Inc. presented findings of their Docker AI Trends Report 2024 based on the survey of 1300 developers across the globe. The report pinpoints AI’s major role in application development and names several opportunities for advancing its development methods.
Nahid Samsati, a VP of Docker of Developer Experience, underlines that the Docker AI Trends Report 2024 confirms “AI is not merely a trend but a shift in software development“. She mentioned that she looked forward to furthering the good work her team has been doing this year.
She stated Docker’s continued dedication to providing developers with powerful solutions that enable them to work and innovate in the ever-evolving technology.
Key Findings from Docker’s AI Trends Report 2024
- Widespread AI Adoption: 64% of respondents use AI applications for coding, gadget documentation, and research, suggesting that it is profoundly integrated into the development process.
- AI Perceptions: As soon as (65%) showed AI in the form of expediting processes and focusing on essential tasks, 65% approved positively. In this regard, 45% of respondents opposed allotting additional weight to AI in the industry.
- AI in Daily Activities: This is where developers use AI during programming, document preparation, and researching, while at the same time replacing the most demanding parts of their work, like coding.
- Growing Dependence on AI: Compared to the more experienced developers those who are just starters tend to rely on AI tools more, thus the indication that the latter population may experience a sharp increase.
- Preferred AI Tools: ChatGPT, GitHub Copilot, and Google Gemini (formerly Bard) are some key AI tools.
The research distinguishes a major change in the software development paradigms that come about as a result of the introduction of AI.
AI tools ranging from coding to troubleshooting will grow more disadvantaged and eventually, they will be regarded as necessary, basically increasing efficiency and discovery of solutions.
Similarly, the report implies that the runners of machine learning engineering and data science are highly in demand also within the Docker community and this is due to the wide integration and acceptance of AI technologies.
Docker concurs with the purpose of page watching and tracking tendencies, assembling obsolete tools and infrastructure as well as assistance to the users to shape the future.
