The software development landscape is undergoing a dramatic transformation, fueled by the integration of artificial intelligence (AI) and machine learning (ML). Docker, a pivotal player in the containerization ecosystem, recently released its 2024 AI Trends Report, shedding light on the increasing role AI plays in shaping the future of development.

Based on a survey of over 1,300 developers, the report provides invaluable insights into how AI is being used in development workflows, the most important AI trends, and the evolving attitudes toward AI across the industry.

Click to Access to the 2024 Docker AI Trends Report

Here are the Top 10 Takeaways from the report, highlighting the future of AI in software development.

1. Machine Learning (ML) Engineering is on the Rise

The report underscores significant growth in ML engineering and data science within the Docker ecosystem. More developers are leveraging Docker to manage and scale ML workflows, integrating AI-driven applications in containerized environments. This growth reflects a broader trend: AI isn’t just a buzzword anymore—it’s becoming a core part of development.

2. GenAI Leads the Pack of Emerging Trends

Generative AI (GenAI) is viewed as the most important trend in software development, with 40% of respondents identifying it as a key focus. GenAI’s ability to automate content creation, code generation, and even design processes is streamlining workflows for developers. Following closely behind, AI assistants for software engineering—used to assist with code, documentation, and debugging—were chosen by 38% of respondents as a vital trend to watch.

3. AI is Used Across Diverse Company Sizes

The survey paints a picture of diverse users, with 42% of respondents from small companies, 28% from mid-sized organizations, and 25% from large enterprises. This breadth showcases AI’s reach across companies of all sizes, demonstrating that AI is no longer just a tool for tech giants—it’s accessible and valuable to everyone.

4. AI is Becoming an Essential Tool in Development

AI adoption is growing rapidly, with 64% of developers reporting they use AI in their daily work. AI is being applied in a variety of areas:

33% use it to write code.
29% use it for writing documentation.
28% leverage AI for research purposes.

These applications are helping developers to accelerate their productivity by handling routine or complex tasks.

5. Generational Divide on AI Priorities

The survey revealed a divide in the prioritization of AI trends between senior and junior developers. Senior developers, DevOps engineers, and platform managers consider GenAI the most important trend, seeing its potential in automating complex workflows. On the other hand, junior developers place more emphasis on AI assistants for writing code and performing routine tasks. This generational difference highlights AI’s diverse benefits for developers at different stages of their careers.

6. ChatGPT and GitHub Copilot Dominate the AI Toolset

The most popular AI tools among developers reflect a trend toward leveraging AI for practical coding support. 46% of developers use ChatGPT, while 30% rely on GitHub Copilot. Additionally, 19% of developers are using Bard, indicating a growing ecosystem of AI-powered coding assistants helping developers write better, faster code.

7. Positive AI Sentiments Prevail

While concerns about AI’s role in the workplace remain, 65% of respondents agree that AI is a positive force in their work environment. More than half (61%) say AI makes their jobs easier, and 55% believe that AI enables them to focus on more important tasks by automating routine processes.

8. AI and Job Security: A Mixed Bag

Despite the overall positive sentiment, some developers express concerns about AI’s impact on job security. 23% of respondents see AI as a potential threat to their jobs, while 19% believe it makes their work more difficult. These mixed feelings reflect ongoing debates in the industry about whether AI will complement human skills or replace certain roles entirely.

9. Moderate AI Dependency Among Developers

When asked how dependent they are on AI for their work, developers rated their reliance on AI tools at an average of 4.04 out of 10. This score suggests that while AI tools are becoming essential, many developers still view them as complementary rather than indispensable. As AI tools continue to evolve, this dependency is likely to increase over time.

10. AI Experience Matters: More Years, More GenAI Focus

The report revealed that developers with more than six years of experience are more likely to prioritize GenAI in their work, whereas developers with fewer than five years of experience place greater importance on AI assistants. This suggests that experienced developers see the potential for AI to revolutionize higher-level workflows, while less-experienced developers appreciate the immediate benefits of AI-assisted code generation.

The Road Ahead for AI and Docker in 2024

The findings from Docker’s 2024 AI Trends Report make one thing clear: AI is becoming a cornerstone of software development, from writing code and documentation to streamlining research and debugging. As more developers adopt AI tools like ChatGPT, GitHub Copilot, and Bard, we can expect even faster innovation in how software is developed, tested, and deployed.

With Generative AI and AI assistants leading the charge, developers are empowered to automate routine tasks, reduce errors, and focus on building more innovative solutions. And as Docker continues to be a pivotal platform in the AI/ML ecosystem, it will play an increasingly important role in shaping the future of AI-driven software development.

As AI and ML trends evolve, developers should stay informed and explore how these technologies can enhance their workflows. The future is bright, and AI, coupled with Docker’s powerful containerization tools, will undoubtedly drive the next wave of innovation.

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Check out the list of Docker AI/ML stories

The Rise of AI in Software Development: Key Insights from the 2024 Docker AI Trends Report