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.

ai

Low trust in AI

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

arrows pointing up on a diagonal

Usage growth everywhere

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

secure

Security risks

Developers view security as the biggest concern surrounding AI adoption.

developer

The impact of experience

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

automatic

The "great toil swap"

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

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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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Get more out of AI coding tools with SonarQube

When we asked about the positive impacts of AI adoption, SonarQube users were:

%
more likely to report lower vulnerability rates
%
more likely to report lower defect rates
%
more likely to report a lower technical debt
%
more likely to report higher overall code quality

¿Por qué elegir SonarQube para una codificación de IA segura y verificada?

Garantía única del código de IA image

Garantía única del código de IA

Somos la única solución que puede detectar automáticamente y realizar un análisis profundo y determinista del código generado por IA.

Visibilidad de la adopción de la IA image

Visibilidad de la adopción de la IA

Comprenda cómo se utiliza la IA en su organización y mida su impacto en la calidad y la seguridad del código.

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Integración perfecta

Aplique los mismos estándares de calidad y seguridad en los que confía tanto al código escrito por humanos como al escrito por IA sin necesidad de configuración adicional.

Genera confianza en cada línea de código.

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4.6 / 5

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