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How Artificial Intelligence Impacts Software Development

Artificial Intelligence (AI) in 2024 is having a significant impact on software development, transforming the way people work, tools, and roles in the industry.

Modern AI tools such as GitHub Copilot, Cursor, and Replit allow developers to automate routine programming tasks, including code generation, refactoring, and writing documentation. This increases productivity and allows them to focus on the more creative aspects of development. For example, GitHub Copilot helps developers reach a state of “flow” faster, making it easier to complete routine tasks.

Large companies like Google and Microsoft are actively incorporating AI into their development processes. At Google, up to 30% of code is generated using AI, while at Microsoft it’s between 20% and 30%. This is changing the structure of workflows and reducing the need for junior developers.

AI is also playing a key role in modernizing legacy systems. Morgan Stanley, for example, has developed an internal tool, DevGen.AI, that analyzes legacy code in languages such as Cobol and converts it into understandable natural language specifications, making it easier to upgrade systems.

Despite concerns about AI replacing developers, experts agree that AI rather complements the work of specialists, freeing them from routine tasks and allowing them to focus on strategic planning and innovation. Cisco President Jitu Patel notes that in the context of AI development, the skills of coordinating the work of AI agents and generating quality ideas become especially important.

Nevertheless, the adoption of AI in software development comes with challenges. Some startups, such as Cursor and Windsurf, face the high costs of using large language models and are looking to develop their own solutions to reduce costs.

Overall, AI is becoming an integral part of software development, transforming processes and requiring professionals to adapt to new environments. Developers who can effectively interact with AI tools and apply them to solve complex problems will be in demand in the new era of programming.