---
title: "AI-DLC"
description: "1 posts about AI-DLC, summarised, each linking to the original."
---

# AI-DLC
> 1 posts about AI-DLC, summarised, each linking to the original.

## Articles

### [How Dynata scaled AI across the development lifecycle with AI-DLC and Kiro IDE](https://yomu.fyi/post/how-dynata-scaled-ai-across-the-development-lifecycle-with-ai-dlc-and.md)
- Company: [AWS](https://yomu.fyi/company/aws.md)
- Author: Madhu Chebrolu
- Published: Oct 15, 2026
- Type: Problem & solution

Dynata, a large first-party data company, sought to accelerate delivery across distributed teams while improving cross-functional alignment. They adopted a staged AI approach: first AI-assisted coding via Amazon Q Developer, then connecting AI to project context from Jira, Confluence, and Lucid, and finally implementing the AI-Driven Development Lifecycle (AI-DLC) methodology using Kiro IDE. AI-DLC, powered by Amazon Bedrock, structures delivery into Inception, Design, and Construction phases with Specs, steering files, and hooks. This process forced all teams to agree on requirements and design during a Day 1 workshop, surfacing gaps before coding began. Consequently, features that once took 3–4 sprints were completed in about one sprint, cutting development phase time by roughly 70% and reducing post-launch defects.