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How to be fearlessly AI native
In a recent blog post, McLaren Stanley, Senior Principal Engineer at Amazon Stores, discusses the necessary steps to make engineering teams fearlessly AI native. The focus is on shifting traditional coding bottlenecks to testing and deployment through agentic engineering. Emphasizing robust validation, Stanley advocates for building trust in AI technologies, framing it as crucial for teams to confidently commit changes in development.
ExperimentConfidence: MediumShort term horizon
Published 7 Aug 2026, 09:35 UTC1 min read
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Summary
TL;DR
- Discussion with McLaren Stanley on AI native engineering.
- Agentic engineering shifts bottlenecks to deployment testing.
- Robust validation is key for building trust.
- Fearless commits enable agile engineering in AI.
- Encouraging a new mindset for engineering teams.
Interesting facts
- Agentic engineering is a new paradigm in software development.
- The concept of fearless commits allows for more rapid iterations.
- Trust in AI systems is becoming essential as usage increases.