Decoding the cultural bias in your data
Customer satisfaction scores vary by country. Learn why global ratings can mislead and how culturally calibrated benchmarks reveal real performance and churn risk.
Insights, research and trends on the global developer economy.
Customer satisfaction scores vary by country. Learn why global ratings can mislead and how culturally calibrated benchmarks reveal real performance and churn risk.

Explore two DevOps maturity approaches—developer autonomy and centralised platforms—and how each shapes security practices, velocity, and operational consistency.

The people behind SlashData share Happy New Year wishes in a video
Agentic AI is transforming work—but also expanding attack surfaces. Learn how to harness autonomous AI agents securely, with guardrails, governance and logs.

Agentic AI has left the lab. SlashData’s Q3 2025 study of 12,000 developers shows ChatGPT (64%) and GitHub Copilot (49%) leading, half of adopters already shipping agentic AI to production, while privacy and quality concerns still slow broader GenAI rollout.

SlashData’s State of Developer Nation offers data-first insights on AI coding tools, agentic AI, GenAI barriers, backend and cloud, FinOps, and programming language communities.

SlashData shifts to AI: 20 years of developer research to bring confidence and clarity amid fragmented options, hype and high stakes.

2025 SlashData–UpCloud study: 1 in 3 cloud leaders prioritize AI integration (US 40%, EU 28%), driving skills, vendor AI, and compliance.

NVIDIA’s AI platform strategy beats traditional dev programs—its CUDA tools and full-stack solutions keep developers locked in.

For our 30th wave of Developer Nation, we're expanding our focus areas, refining our intelligence gathering, and improving our methodology to ensure our research remains the most relevant and actionable in the industry.

In a tech landscape obsessed with speed and innovation, software development remains one of the most complex and failure-prone processes in business. Poorly structured codebases, outdated documentation and brittle architecture may sound like engineering issues, but the ripple effects of failures in these areas can deeply impact product leaders, marketers, operations teams, and even customer-facing departments!

Artificial intelligence is transforming how software is built, deployed, and maintained. Yet, questions persist: Are AI-assisted tools really improving software delivery performance
