AWS DevSphere 2025: AWS introduces new AI methodology to transform software development
AWS’ AI-Driven Development Lifecycle methodology places AI at the centre of software creation,
condensing months of work into days.
AWS has unveiled a new approach to develop software using generative AI at its AWS
DevSphere 2025 event in Bengaluru. Swami Sivasubramanian, VP of Agentic AI, introduced the
AI-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 AI-native
transformation.
Building on announcements from the AWS Summit in New York last month, Sivasubramanian
highlighted how AWS is helping customers build and deploy AI 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 AI-Driven Development Lifecycle (AI-DLC)—an openly accessible AI-native
methodology designed to help organizations use AI 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, AI-DLC places AI at the centre of the
development process. It offers a practical approach to effectively apply AI 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 AI
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 AI 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 AI to operate better and deliver game-changing outcomes for their
clients. She shared that by implementing AI-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 AI adoption and implementation to accelerate the journey to AI-native
transformation across industries. It is built on three dimensions:
- AI-native builders: Individuals reskilling themselves, experimenting, and showing what’s
possible with AI. - AI-native practices: The community will curate and share best practices to make AI a natural
part of the development cycle. - AI-native organizations: Organizations rethinking how they operate to lead in the AI 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 AI across industries,” says Neil Fox,
Senior Vice President for Generative AI at Persistent Systems and a founding member of the
community.
Transforming industries with AI agents
Agents—autonomous software systems that can reason, plan, and adapt—are transforming
how systems work by using AI to reason, plan, and adapt autonomously. With recent
announcements on new AI innovations such as Amazon Bedrock AgentCore, Amazon Nova
customization capabilities, Amazon S3 Vectors (in preview), AWS is enabling customers to
deliver production-ready AI agents at scale.
Continuing to give customers ready-to-deploy AI solutions that transform the software
development experience, last month AWS announced the preview launch of Kiro, an agentic
IDE that helps developers go from prototype to production with spec-driven development.
Building AI skills for the future workforce globally
To help early-career professionals with AI-transformed tech careers, AWS is providing AWS
Academy students globally with a free subscription to AWS Skill Builder for 12 months. This
empowers them to learn foundational and specialised AI content. The goal is to engage with 2.7
million students and early-career professionals globally within the first year.
AWS Academy provides more than 6,600 higher education institutions around the globe with
free, ready-to-teach cloud computing and generative AI curricula that prepare students to
pursue AWS certifications and in-demand jobs.
AWS has also launched the AWS AI League, where developers compete to solve real-world
business challenges with generative AI. The program offers up to $2 million in AWS credits for
developers to get hands-on experience in fine-tuning, model customisation, and prompt
engineering.
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