From engineering as we know it ➔ AI-native engineering.
From engineering as we know it ➔ AI-native engineering.
Inside #Meta’s “AI for Productivity” (AI4P) initiative: what they tried, what worked, what still needs proof, and what they’ve ruled out (for now).
Watch #InfoQ video for more insights: https://bit.ly/4tRTzQA
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AI Native Engineering
Ian Thomas shares a case study on embracing AI-native engineering within Meta’s Reality Labs. He explains the "Assess and Grow" framework, a maturity model designed to move teams from manual toil to AI-integrated innovation. He discusses real-world wins - including hitting 90% code coverage in record time - while addressing senior concerns like "code slop," review fatigue, and maintaining quality.
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