Gartner Predicts 75% of Enterprise Software Engineers to Utilize AI Coding Assistants by 2028
In a groundbreaking prediction, research and advisory firm Gartner anticipates that 75% of enterprise software engineers will rely on AI coding assistants by 2028. This marks a significant increase from the less than 10% who currently utilize these tools as of early 2023. The adoption of AI coding assistants, also known as GenAI, is expected to revolutionize developer productivity and workload optimization.
One of the main factors contributing to the effectiveness of GenAI is its ability to process vast amounts of data. However, it is worth noting that these tools still lack human intelligence. Nevertheless, advancements in regulations are expected to address these challenges, paving the way for the continued growth of GenAI. The benefits of utilizing these tools, such as increased efficiency and innovation, are apparent.
The transformative potential of transformer models, which are a critical component of GenAI models, was previously predicted by Huang. Over time, this prediction has been validated. These generative tools are essential for enhancing software quality, offering real-time code suggestions, and automating steps in the software development lifecycle. The introduction of tools like GitHub’s Copilot, Microsoft’s Intellicode, and Jasper has revolutionized the way developers create software, treating computer languages much like natural languages.
GenAI is poised to reshape four key areas of software development: requirement planning, developer productivity, DevOps and deployment, and workload optimization. For example, these tools are capable of analyzing a vast array of data to generate user stories, recommend technologies, and draft code quickly, thus significantly enhancing developer productivity. By 2025, it is estimated that 80% of the software development life cycle will involve GenAI code generation, potentially boosting productivity by up to 75%.
In the realm of DevOps, AI is causing a revolution in automation testing, deployment, and resource management. These groundbreaking tools and applications can be operational within weeks, drastically reducing development costs. Moreover, GenAI has the ability to optimize cloud resources by providing actionable recommendations for resource allocation, improving performance, and suggesting cost-saving strategies.
As GenAI and software development continue to form a symbiotic relationship, it is essential to acknowledge that AI cannot function independently without human intelligence. Addressing concerns relating to data privacy, hallucinated responses, and biased outputs is crucial as the regulatory landscape continues to evolve.
In conclusion, the potential of GenAI to accelerate coding, automate processes, and optimize performance is set to transform the software development industry, driving innovation and efficiency. The synergy between GenAI and software development is propelling the industry forward, reshaping digital transformation while navigating the ever-changing regulatory environment.
Analyst comment
Positive news: Gartner predicts that 75% of enterprise software engineers will utilize AI coding assistants by 2028, revolutionizing developer productivity. GenAI tools like GitHub’s Copilot and Microsoft’s Intellicode are transforming software development by analyzing data, generating code, and optimizing performance. This is expected to enhance efficiency, innovation, and ultimately reshape the industry. However, challenges regarding data privacy and biased outputs must be addressed as regulation evolves.
