

AI Adoption Lessons from 5000 Devs
610 snips Sep 25, 2025
A new report reveals that 90% of developers are now using AI, leading to significant productivity gains. However, trust in AI remains a challenge despite its high adoption rates. The discussion highlights that organizational systems play a crucial role in translating individual performance boosts into broader business success. Insights into the types of tools developers prefer, and the impact of AI on code quality and delivery, showcase both the advancements and new hurdles in AI integration. Key recommendations stress the need for systematic changes to fully leverage AI benefits.
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Viral Video Deepfake Model Observations
- Nathaniel highlights a viral open-source video model that replaces people in clips with a single reference image.
- He notes strong lip-sync and body dynamics but also limitations like sync issues over longer clips.
Adoption Is High, Impact Depends On Systems
- Google DORA finds AI adoption at 90% with 80% of devs reporting productivity gains.
- But organizational effects vary and depend on systems, not just tools or individuals.
The Trust Paradox
- DORA describes a 'trust paradox': heavy usage while trust remains low for many developers.
- This mismatch means teams rely on AI despite significant skepticism about its outputs.