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Dynata moved from AI-assisted coding to an AI-driven development lifecycle

aws.amazon.com by Madhu Chebrolu 14 min read Editor score 7/10

Dynata progressed from AI-assisted coding to connecting project knowledge across its tools and adopting AWS’s AI-Driven Development Lifecycle with Kiro IDE; features that took 3–4 sprints were targeted for a single sprint. The staged approach offers a concrete example of changing team workflows around AI.

What
Dynata adopted AWS’s AI-Driven Development Lifecycle (AI-DLC) with Kiro IDE to bring AI into its full software delivery process.
How
The team moved from AI-assisted coding to connecting AI with Confluence, Jira, Lucidchart, GitHub and Figma, then adopted AI-DLC.
Why it matters
Dynata reports reducing the development phase for features that typically spanned 3–4 sprints to about one sprint, with earlier cross-team visibility and alignment.

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