State of Code report series

Developer Survey report

Based on our survey of over 1,100 developers, our newest State of Code report analyzes the impact of generative AI on software engineering workflows and how developers are adapting to address it.

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Key findings

Our survey paints a comprehensive picture of an industry in transition.

Low trust in AI

Despite AI's widespread use, developers remain skeptical of the output.

Usage growth everywhere

AI is used across all kinds of software projects, including mission-critical services.

Security risks

Developers view security as the biggest concern surrounding AI adoption.

The impact of experience

A developer's relationship with AI varies relative to their years of experience.

The "great toil swap"

Developers face similar levels of toil work whether they use AI tools frequently or not.

Inconsistent verification

Less than half of developers always verify AI code before committing it.

Vibe check: What our developer survey uncovered

of developers don’t fully trust that AI-generated code is functionally correct

agree that AI often produces code that looks correct but isn't reliable

of developers worry that using AI risks exposing sensitive company or customer data

of a developer's work week is spent on toil work

About our dataset

Our findings are based on a quantitative sample of 1,149 respondents that represents the current reality of modern engineering teams around the world. All respondents:

Were 18 years old or older
Were employed full-time or self-employed in a technology role (the vast majority worked in software engineering)
Wrote code or managed developers using at least one programming language.
Had used AI as part of their job within the last year

The solution: Automated verification

Our survey results show that SonarQube users report stronger ROI on AI coding. This suggests that real productivity comes from speeding up the entire development lifecycle by effectively integrating "vibe" (generation) with a robust "verify" step.

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