[nfw2]

The same is true of AI productivity

https://resources.github.com/learn/pathways/copilot/essentia...

https://www.anthropic.com/research/how-ai-is-transforming-wo...

https://www.mckinsey.com/capabilities/tech-and-ai/our-insigh...

[intended]

> https://metr.org/blog/2025-07-10-early-2025-ai-experienced-o...

Shows that devs overestimate the impact of LLMs on their productivity. They believe they get faster when they take more time.

Since Anthropic, GitHub are fair game here’s one from Code Rabbit - https://www.coderabbit.ai/blog/state-of-ai-vs-human-code-gen...

[davidgerard]

lol those are all self-reports of vibes

then they put the vibes on a graph, which presumably transforms them into data

[nfw2]

"Both GitHub and outside researchers have observed positive impact in controlled experiments and field studies where Copilot has conferred:

55% faster task completion using predictive text

Quality improvements across 8 dimensions (e.g. readability, error-free, maintainability)

50% faster time-to-merge"

how is time-to-merge a vibe?