Author: LeadDev
Note: developer adoption ~98% on AI tooling with reporting some net positive productivity improvements
SUMMARY • 66% of respondents have adopted AI tools in production. • 85% are focused on internal engineering use cases. • 59% of respondents feel AI has increased productivity. The tooling landscape Whether overzealous leaders have mandated adoption or allowed engineers to discover these tools themselves, it’s safe to say that AI coding assistants and large language models (LLMs) are firmly part of the software developer’s tool belt today. Two-thirds (66%) of respondents have adopted AI tools or models for at least some use cases, with 20% at a pilot stage, and 13% still exploring. This leaves just 2% who have no plans to use AI tools or models.
Lots of charts and graphs in this report, but I'm left with a few observations
- bottom line. Engineers are Using AI/LLM . Either by force or self adoption
- future looks murky. there is still a need to guide AI but impact on JR roles questionable. I wonder if street lamp lighters felt this way as new fangled bulbs were installed
- there is still a negative effect to onboarding AI. this is a learning curve IMO
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<sub>Quote Citation: <cite>LeadDev, "The LeadDev AI Impact Report 2025", August 2025, <a href="https://leaddev.com/wp-content/uploads/2025/08/THE-AI-IMPACT-REPORT-2025-download__LDMO__.pdf">https://leaddev.com/wp-content/uploads/2025/08/THE-AI-IMPACT-REPORT-2025-download__LDMO__.pdf</a></cite></sub>