Code Generation
From use case: Code Generation
Microsoft conducted a controlled experiment with GitHub Copilot, which works alongside software developers, suggesting lines of code or entire functions. The software developers in the test were asked to implement an HTTP server in JavaScript as quickly as possible. Microsoft reports that the group using GitHub Copilot completed the task 55.8% faster than the control group, and notes that tools like Copilot, known AI pair programmers because they work alongside human developers, may prove to help people transition into software development careers. (Microsoft acquired GitHub in 2018 and developed Copilot in collaboration with OpenAI, releasing the tool in 2021.)
Ride-sharing app Uber integrated AI code assistants into its development process and observed a reduction of about 15% in repetitive coding tasks. The AI assistant also helped standardize coding practices across multiple teams. Stripe, the provider of a payment-processing app, concluded that AI tools could generate up to 40% of routine code snippets, allowing developers to focus on more complex tasks.
These demonstrated results by major corporations are contributing to rapid adoption. The U.S. AI Code Assistant Market was valued at $1.8 Billion in 2024 and projected to reach approximately $12.4 Billion by 2034, expanding at a compound annual growth rate of 21.5% during the forecast period from 2025 to 2034, according to Market.US.