artificial intelligence (AI) text-to-code tools such as IBM Codenet, Microsoft’s GitHub CoPilot, Amazon’s Code Whisperer as well as StarCoder by Service Now and Hugging Face etc, to enhance productivity. Some of these tools claim to increase efficiency by up to 50%.
These Gen AI models can generate code from simple text prompts 55% faster and can even check code quality and reviews in almost every computer language,
including C++, Java, Go, Python, COBOL, Pascal and Fortran. Small wonder then that they are sparking high levels of curiosity.
Growing interest
As per Google Trends, searches for GitHub Copilot have increased by 10 times in the last year. Globally, it crossed over 1.3 million paid subscribers from 50,000 organisations, GitHub said, with strong presence in Indian IT majors like Tata Consultancy Services (TCS), Infosys and HCLTech. Service Now said its text-to-code model has boosted developer productivity by 52%.
“Generative AI within the Now Platform will convert the text into high quality code suggestions, and in some cases, complete code, which is shared in line to review, edit and implement,” said Sumeet Mathur, senior vice-president and MD, ServiceNow India Technology and Business Center. GitHub’s Copilot, developed using OpenAI’s Codex