Overview of Innovation
Morgan Stanley has developed an in-house AI tool named DevGen.AI to modernize outdated coding practices. Launched in January, this tool aims to assist developers in converting legacy code into current programming languages. By utilizing OpenAI’s GPT models, DevGen.AI simplifies complex code written in older languages, such as Perl, into plain English. This approach allows developers to understand and rewrite the code more efficiently into modern languages like Python.
Key Features and Achievements
- In just five months, DevGen.AI has processed nine million lines of code.
- The tool has saved approximately 280,000 hours of work for 15,000 developers at Morgan Stanley.
- Morgan Stanley chose to create this tool internally due to the lack of suitable commercial solutions that could handle its specific legacy coding needs.
- While DevGen.AI shows promise, it still requires human developers for efficient code translation, ensuring that the workforce remains essential in the process.
Importance of the Development
The introduction of DevGen.AI highlights the growing trend of AI integration in the tech industry. By streamlining the coding process, Morgan Stanley aims to enhance productivity without compromising the quality of work. The company’s commitment to retaining human developers, despite advancements in AI, reflects a balanced approach to technology and employment. As AI tools like DevGen.AI evolve, they could revolutionize software development, making it more efficient while still valuing human expertise.
