SonarQube AI CodeFix

AI tool profile ·

A one-click AI fix feature inside a code-scanning tool, proposing corrections for quality and security issues right in the editor.

73TriVista score
Category rank#6 in Software Delivery, Testing, and DevOps AI
Baseline ELO1,490.6
At a glance
What it does

AI CodeFix is an AI feature inside SonarQube, a code quality and security scanning tool that flags bugs, vulnerabilities, and maintainability issues in source code. When a developer asks, it generates a proposed fix for a flagged issue and shows it directly in their editor through the SonarQube for IDE extension, which covers VS Code, IntelliJ, Cursor, and Windsurf. The developer reviews each fix and can apply, edit, or discard it before it reaches the codebase. It supports Java, JavaScript, TypeScript, Python, C#, C, and C++. SonarQube is made by Sonar. In SonarQube Cloud it uses OpenAI's GPT-4o or Anthropic's Claude; in the self-managed Server version it uses a customer's own Azure OpenAI deployment.

Where it can help

This fits a team already running SonarQube for code quality gates that wants to close the gap between finding an issue and fixing it. It comes at no extra cost on SonarQube Cloud's Team and Enterprise plans and the self-managed Server's Enterprise and Data Center editions, so an existing customer on those tiers can turn it on without a new contract; lower-tier plans do not include it. The Cloud Team plan starts near $32 a month as a planning figure, and Sonar prices self-managed editions by lines of code analyzed, so confirm current pricing directly. Because a developer must approve every suggested fix, it will not save time on its own; a review habit needs to already be in place.

Understanding this score

A research signal to help you build a shortlist.

TriVista score
73.4
Category rank
#6
Baseline ELO
1,490.6

Compare within the category

This tool is ranked in Software Delivery, Testing, and DevOps AI. Its score is not a global ranking across every AI tool.

Use a pilot to judge your fit

The score does not guarantee performance for your team. Validate relevance, integration, permissions, and cost against your own requirements.

How the number is calculated

The score converts the baseline ELO rating onto the TriVista scale. The headline badge rounds to a whole number. Scores are not silently clipped or capped.

TriVista Score = 50 + (ELO − 1350) / 6

Before you choose
  • Customer feedback is not yet strong enough to change the starting rating.
  • The starting rating includes a product-specific comparison.
  • Check the current price before you decide.
  • We recorded rollout time, how it runs, and when it does not fit.
How company details affect the score

The model adjusts the starting rating using the company details you select. Use these estimates to prioritize your review, then test the tool against your own requirements.

Read the full methodology →
Company fit

Where this tool fits best

The industries and leadership roles this tool is most often matched with.

How your company could affect the fit

How one company factor at a time moves the modeled score. The published score is unchanged.

Technology Maturity High Modeled score73.1 / 100 Modeled category rank#6
Baseline Moderate Adjusted ELO 1,488.8 Change from baseline -3.2 ELO
Technology Maturity Low Modeled score74.2 / 100 Modeled category rank#6
Baseline Moderate Adjusted ELO 1,495.1 Change from baseline +3.1 ELO
Industry Technology and telecommunications Modeled score73.3 / 100 Modeled category rank#7
Baseline Consumer products Adjusted ELO 1,489.8 Change from baseline -2.2 ELO
Industry Financial and professional services Modeled score73.3 / 100 Modeled category rank#7
Baseline Consumer products Adjusted ELO 1,489.8 Change from baseline -2.2 ELO
Industry Construction and real estate Modeled score73.3 / 100 Modeled category rank#7
Baseline Consumer products Adjusted ELO 1,489.9 Change from baseline -2.1 ELO
Industry Healthcare and life sciences Modeled score73.3 / 100 Modeled category rank#7
Baseline Consumer products Adjusted ELO 1,490.0 Change from baseline -2.0 ELO
Industry Energy and utilities Modeled score73.3 / 100 Modeled category rank#6
Baseline Consumer products Adjusted ELO 1,490.1 Change from baseline -1.9 ELO
Revenue Band $100M-$500M Modeled score73.9 / 100 Modeled category rank#6
Baseline $25M-$100M Adjusted ELO 1,493.1 Change from baseline +1.1 ELO
Revenue Band $500M-$2B Modeled score73.5 / 100 Modeled category rank#7
Baseline $25M-$100M Adjusted ELO 1,491.2 Change from baseline -0.8 ELO
Revenue Band Under $25M Modeled score73.6 / 100 Modeled category rank#6
Baseline $25M-$100M Adjusted ELO 1,491.6 Change from baseline -0.4 ELO
Industry Automotive and transportation Modeled score73.7 / 100 Modeled category rank#6
Baseline Consumer products Adjusted ELO 1,492.4 Change from baseline +0.4 ELO
Industry Food and beverage Modeled score73.6 / 100 Modeled category rank#7
Baseline Consumer products Adjusted ELO 1,491.6 Change from baseline -0.4 ELO
Industry Industrial manufacturing Modeled score73.6 / 100 Modeled category rank#7
Baseline Consumer products Adjusted ELO 1,491.7 Change from baseline -0.3 ELO
Industry Retail and distribution Modeled score73.6 / 100 Modeled category rank#7
Baseline Consumer products Adjusted ELO 1,491.7 Change from baseline -0.3 ELO
Company Type Business services Modeled score73.6 / 100 Modeled category rank#7
Baseline Manufacturing Adjusted ELO 1,491.7 Change from baseline -0.3 ELO
Revenue Band Over $2B Modeled score73.6 / 100 Modeled category rank#6
Baseline $25M-$100M Adjusted ELO 1,491.8 Change from baseline -0.2 ELO
Cost guide

What it can cost

These estimates cover licensing, setup, integrations, staff time, security, administration, and support.

Cost estimates by scenario Unit used in these estimates: production deployment.
Cost measureLowBaseHigh
First-year total$54.4K$85.5K$137.2K
Three-year total$118.1K$177.9K$274.3K
First-year cost per unit$54.4K$85.5K$137.2K
Average annual cost per unit (over three years)$39.4K$59.3K$91.4K
Cost breakdown by scenario
Included cost components
ComponentLowBaseHigh
Licensing and usage$18K$24K$32.4K
Implementation$8.4K$14K$23.8K
Integration$9.9K$18K$32.4K
Staff time and change management$6K$8.5K$11.9K
Security$4.6K$6.5K$9.8K
Administration$3.4K$4.5K$6.1K
Support$1.7K$2.2K$3K

Estimate assumptions: This scenario uses a category-based allowance, not a verified price for this product. Based on 1 production deployment. Confirm the vendor’s billing unit and current price or quote before budgeting.

Benefits have not been estimated: The current research does not estimate potential savings, return on investment, or how long it would take to recover the cost. Earlier benefit estimates are excluded.

Get started

What you need first

What you need firstSet up the basics

Confirm current product identity, commercial packaging, data processing terms, sign-in and access rules, retention, integrations, support model, implementation effort, and rollback conditions.

How to startSet clear limits

Verify identity, package, availability, ownership, pricing, and security evidence before approving a pilot

Before you scaleSet safe working rules

Review security and exit requirements →

Recommended next action

Do not approve a pilot yet. Verify the current product identity, package, availability, owner, pricing, and security evidence; then define one workflow, a baseline, and rollback criteria.

Decision ownerBusiness and technology owner
STARTSet a goal and owner

Define what success looks like for a test of SonarQube AI CodeFix and assign someone to lead it.

FIRST MONTHTest one workflow

Once the requirements above are met, compare a small trial with how your team works today.

MONTH TWOReview actual use

Track adoption, output quality, business results, and actual costs against the estimate.

MONTH THREEDecide what comes next

Use the results to decide whether to stop, adjust, or expand the pilot.

Risk profile

Required controls

Security and safe use

Confirm encryption, how the vendor uses your data, customer data separation, how long data stays and how to delete it, activity records, sign-in and user setup, where data is handled, other companies that process data, past incidents, and what your team must manage.

Exit and rollback

Export MCP server definitions, tool schemas, and repository scopes, plus custom rules, prompts, codebase indexes, agent plans, chat history, evaluation results, usage analytics, provider settings, and tool configuration from SonarQube AI Code Assurance. Keep authoritative source records in Azure. Accepted code should remain in Git or the system of record, but indexes and agent workflows may not; revoke repository and model tokens and require deletion of indexed proprietary code.

Recommended next step

Do not approve a pilot yet. Verify the current product identity, package, availability, owner, pricing, and security evidence; then define one workflow, a baseline, and rollback criteria.

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Research support

How to learn more about this tool

Where to check the product, price, security, and support.

Official product information sonarsource.com/products/sonarqube Read official information →

Research observations recorded: 1. Evidence quality: Some support.

Score history

How the rating has changed

Recorded score and category rank across research updates.

  • Current catalog refresh
    TriVista Score 73.4/100
    Category rank #6
  • Research release
    TriVista Score 73.4/100
    Category rank #6

See how this tool fits your company

Answer a few questions about your company and compare this tool with others. The research score above stays the same.

Check the fit →

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