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.
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
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.
Get more out of AI coding tools with SonarQube
When we asked about the positive impacts of AI adoption, SonarQube users were:
Pourquoi choisir SonarQube pour un codage IA sécurisé et vérifié ?
Une assurance unique pour le code IA
Nous sommes la seule solution capable de détecter automatiquement et d'effectuer une analyse approfondie et déterministe du code généré par l'IA.
Visibilité sur l'adoption de l'IA
Comprenez comment l'IA est utilisée dans votre organisation et mesurez son impact sur la qualité et la sécurité du code.
Intégration transparente
Appliquez les mêmes normes de qualité et de sécurité auxquelles vous faites confiance au code écrit par des humains et à celui écrit par l'IA, sans aucune configuration supplémentaire.
