Generative AI has rich potential to revolutionize software development, but full adoption is yet to be achieved. The first use cases for generative AI in the software development lifecycle go beyond code generation, including design, prototyping, requirements development, and testing.
By democratizing AI, organizations are better equipped to unleash their creativity at every stage of the SDLC, improving team productivity and increasing collaboration. In this next phase of using generative AI, business leaders see the greatest potential in finding additional ways to measure the impact of AI and in increasing the adoption of AI agents to succeed in more complex, multitasking tasks. steps.
This has been revealed Globant and MIT Technology Review Insights in their report titled “Transforming Software Development with Generative AI”
“As an early investor in AI and a leading player in digital transformation, Globant has found this partnership with MIT deeply insightful in understanding and harnessing the potential of generative AI in the SDLC. Although according to the report we are barely scratching the surface of a transformational change in software, the foundations for this are already taking shape,” said Carolina Dolan Chandler, Chief Digital Officer at Globant.
The potential of AI
Other key findings in the report include:
- Generative AI is already meeting or exceeding expectations in the software development lifecycle: 46% of respondents say generative AI is already meeting expectations, and 33% say it “exceeds” or “greatly exceeds” expectations.
The potential of AI in the software development lifecycle
- Generative AI adoption is particularly high in the early stages of the SDLC: 59% of respondents’ organizations use it for ideation, 65% for design and prototyping, and 61% for code generation. However, organizations that use generative AI in more phases of the SDLC also report greater impact.
- Respondents expect AI to “substantially change” the SDLC in most organizations within the next decadewith 38% estimating this period between one and three years, and another 31% believing it will happen within four to ten years.
