In this episode we join AWS Senior GTM Specialists Aidin Khosrowshahi and Rakesh Kumar to unpack how Kiro is transforming software development through a spec-driven approach that goes beyond traditional AI-assisted coding. We cover what sets spec-driven development apart from "vibe coding" and why Kiro's spec-first approach matters. We also tackle the mindset shifts developers must make when adopting Kiro. The episode closes with a forward-looking discussion on whether the "Software Engineer" title could eventually be redefined—and the skills and first steps anyone needs to get started with Kiro today.

Try Kiro today:

kiro.dev

AWS Hosts: Nolan Chen & Malini Chatterjee

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"Its amazing to see the rate and pace of advancements in technology in 2025" Todd Pond, AWS Director of Strategic Sales, is out in the field with commercial customers every day, helping them leverage technology to solve their biggest problems, accelerate innovation and transform their businesses. He and his team have a deep understanding of these companies - the challenges they're up against, their limited resources, their unique value propositions, and how to enable their growth with maximum ROI. In this episode, we talk to Todd about the learnings from 2025 and get his actionable insights on the biggest opportunities for success in 2026 and beyond.

Aizon.ai provides an AI software platform for the pharmaceutical and biotech industries to optimize manufacturing processes, ensure GxP compliance, and improve product quality. Their top outcomes include financial savings and improved operational efficiency for clients. Aizon’s ability to optimize manufacturing production and quality in highly regulated industries by providing real-time visibility and predictive insights while ensuring GxP compliance. The AWS case study details how a pharmaceutical company utilized Aizon's AI platform to achieve double-digit yield improvements through clinical process optimization.

AWS Hosts: Nolan Chen & Gokhul Srinivasan

https://aws.amazon.com/solutions/case-studies/aizon-case-study/

https://aws.amazon.com/marketplace/seller-profile?id=5bb4e9b6-8a87-40d9-aea5-adc6ebcad7c0

https://www.aizon.ai/success-stories

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