AWS introduces new Al methodology to transform software development

AWS introduces new Al methodology to transform software development

AWS’ Al-Driven Development Lifecycle methodology places Af at the centre of software creation, condensing months of work into days.

AWS has unveiled a new approach to develop software using generative Al at its AWS DevSphere 2025 event. Swami Sivasubramanian, VP of Agentic Al, introduced the Al-Driven Development Lifecycle (AI-DLC) methodology designed to place artificial intelligence at the heart of software development. Alongside this methodology, he also announced the launch of AWS AI-Native Builders Community, a peer-to-peer network of technology leaders united to share breakthroughs, avoid pitfalls, and accelerate the journey to Al-native transformation.

Building on announcements from the AWS Summit in New York last month, Sivasubramanian highlighted how AWS is helping customers build and deploy Al agents that accelerate software development, boost productivity, and transform customer experiences.

Here are the highlights from the keynote:

New AI-DLC methodology to transform software development

AWS introduced Al-Driven Development Lifecycle (AI-DLC)-an openly accessible Al-native methodology designed to help organizations use Al in the software development process for building complex systems at scale with tools and frameworks such as Kiro, Amazon Q Developer, and Strands Agents. Sivasubramanian announced at the keynote that AI-DLC is available from today as a freely accessible methodology on AWS, and as a custom workflow in Kiro.

Unlike traditional software development methodologies, Al-DLC places Al at the centre of the development process. It offers a practical approach to effectively apply Al at each stage of software development, from inception to construction to operation, with human oversight at every step. The methodology helps development teams focus on strategic work while Al handles implementation tasks such as workflow orchestration, task breakdown, coding, testing, and deployments.

The methodology is helping global and Indian businesses such as S&P Global, Wipro, HackerRank, and Dhan, among others, integrate Al into software development to condense complex development processes and timelines from months into days and even hours.

Presenting at the event keynote, Sandhya Arun, Chief Technology Officer at Wipro,

elaborated on how Wipro is using Al to operate better and deliver game-changing outcomes for their clients. She shared that by implementing Al-DLC methodology and using Amazon Q developer, they were able to build four production-ready modules within just 20 hours.

Introducing new AWS AI-Native Builders Community

AWS announced a new initiative called AWS AI-Native Builders Community, a peer-to-peer network of technology leaders. The community aims to share breakthroughs, learnings, and best practices on Al adoption and implementation to accelerate the journey to Al-native transformation across industries. It is built on three dimensions:

Al-native builders: Individuals reskilling themselves, experimenting, and showing what’s possible with Al.

Al-native practices: The community will curate and share best practices to make Al a natural part of the development cycle.

Al-native organizations: Organizations rethinking how they operate to lead in the Al era.

“When we talk to customers, one thing is clear: no single company can figure this out alone. That’s why we created this community of leaders and innovators who are at the forefront of building, scaling, and improving software delivery with Al across industries, says Neil Fox, Senior Vice President for Generative Al at Persistent Systems and a founding member of the community.

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