80% of developers should improve their qualifications to work with GenAI by 2027 / Habr

80% of developers should improve their qualifications to work with GenAI by 2027 / Habr

According to the latest report Gartnergenerative artificial intelligence (GenAI) will fundamentally change the approach to software development. By 2027, up to 80% of software engineers will face the need for advanced trainingas organizations increasingly rely on AI to automate and optimize development workflows.

The changing role of engineers

Philip Walsh, Senior Analyst GartnerComments on current changes:

“Many say that AI can reduce the demand for developers or replace them altogether. But despite all the achievements of AI, creativity and human experience will play a key role in the creation of complex software systems.”

In other words, while AI will indeed transform the development landscape, developers will remain an important link, but their role will change. Gartner distinguishes three stages of the impact of AI on the development profession.

Stages of AI implementation in software development

1. Short-term perspective: AI as a developer’s assistant

In the initial stages of implementation, AI will act as a tool that helps developers solve routine tasks and increase productivity. This will be especially noticeable for experienced professionals working in mature engineering teams. AI will accelerate processes related to testing, code generation, documentation processing and other tasks that do not require a high level of creativity.

2. Mid-term perspective: transition to II-oriented development

At the next stage, they will begin to appear II-agentswhich will perform more and more tasks independently, generating significant amounts of code. This will lead to a transition to II-oriented development, where the ability to effectively interact with AI will be critical. Walsh emphasizes that skills in developing natural language prompts, as well as Retrieval-Augmented Generation (RAG) techniques, will become essential for all engineers.

3. Long-term perspective: emergence of II-engineers

In the long term, a new type of specialists will be formed. II-engineers. They will have combined skills in programming, data analysis and machine learning. Walsh notes that the demand for such engineers will continue to grow, leading to significant changes in the labor market.

Shortage of specialists in II

Survey conducted Gartner At the end of 2023, it showed that 56% of development leaders believe that artificial intelligence and machine learning engineers will be the most in-demand in 2024. This emphasizes the existing shortage of personnel who have competencies in the field of II.

Platforms for the development of AI and the need for investment

In order to effectively integrate AI into business processes, companies will need to invest in specialized platforms for the development of II. Such platforms will simplify the implementation of AI solutions in corporate systems and increase the scalability of projects. Walsh emphasizes that this will require significant upskilling of both platform developers and data professionals:

“Companies need to invest in the training of their specialists so that the integration of AI is not only successful, but also permanent.”

These efforts will be an important step for companies that want to remain competitive in the conditions of rapid development of AI.

Conclusion

Current trends indicate significant changes in the world of software development. Generative AI will not only change approaches and tools, but also require new skills from professionals. To remain in demand in the market, developers will have to adapt to new realities and master AI-oriented approaches, and organizations will have to invest resources in training and creating the appropriate infrastructure.

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