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.

warning

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

セキュアで検証済みのAIコーディングにSonarQubeを選ぶ理由

AIコードに対する独自の保証 image

AIコードに対する独自の保証

AI生成コードの自動検出と深い決定論的分析を実行できる唯一のソリューションです。

AI導入状況の可視化 image

AI導入状況の可視化

組織内でのAI活用状況を把握し、コード品質とセキュリティへの影響を測定します。

シームレスな統合 image

シームレスな統合

人間とAIの両方が書いたコードに、信頼できる同一の品質・セキュリティ基準を追加設定なしで適用します。

コードの一行一行に信頼を組み込む

SonarQubeを開発ワークフローに統合し、今日から脆弱性の検出を始めましょう。

Rating image

4.6 / 5

今すぐ始める営業部門に問い合わせる