Examining AI Coding Agents: Key Adoption Trends
In October 2025, I analyzed over 217,000 active public GitHub repositories to uncover how developers are adopting AI coding agents. The findings indicate an overall adoption rate of 4.9%, revealing critical insights into the current landscape.
Key Insights:
- Claude Code leads adoption, originally spearheaded by Cursor.
- New repositories are adopting AI agents three times faster than established projects.
- Thirteen percent of adopters are running multiple tools concurrently.
This data sheds light on real-world usage patterns, focusing on developers’ choices captured in their configuration files. Notably, the growth in adoption aligns with the rise of “reasoning” LLMs since early 2025.
Emerging Trends:
- First-mover advantage significantly impacts adoption, as reflected in the varying growth rates of different tools.
- New projects indicate a shift towards standardized AI tool usage from inception.
Curious about how your team is leveraging these trends? DM me or comment below to learn more about optimizing your AI coding setup! Don’t forget to share this post to spark discussions in your network!
