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From 1x to 10x: The AI-native engineering journey | Cian Clarke, Nearform

Most engineering teams using AI are stuck at 1.1x productivity. Some are going backwards. The problem is not the models. It is the methodology.
In this session, Nearform's Head of AI, Cian Clarke, maps the four stages of AI-native engineering maturity — from AI-assisted coding and vibe coding, through spec-driven development, all the way to multi-agent orchestration at enterprise scale.
You will learn:

- Why vibe coding has a hard ceiling and how spec-driven development breaks through it
- What the four maturity stages look like in practice, and where most enterprises are getting stuck
- How multi-agent orchestration changes the role of senior engineers entirely
- Which traditional SaaS moats are eroding — and what a defensible product looks like in the era of AI

Whether you are an engineering leader trying to move beyond isolated AI tools or a CTO mapping a path to genuine productivity gains, this recording covers what it actually takes to build and deliver software differently.

Learn more about Nearform's AI-native engineering approach at www.nearform.com.

Видео From 1x to 10x: The AI-native engineering journey | Cian Clarke, Nearform канала Nearform
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