SonarQube Remediation Agent

Technical debt cleared, not just tracked.

Assign entire categories of technical debt from the SonarQube dashboard. The agent fixes hundreds of issues in parallel, re-scans every fix with Sonar's analysis engine, and opens pull requests for your team to review. Nothing enters your codebase without your sign-off.

Backlog · payments-service 1,247 issues
Assigned to Remediation Agent maintainability · S1192
The Loop
generate → sandbox → re-scan → verify
Verified
312 fixes · 18 pull requests opened
TRUSTED BY OVER 7M DEVELOPERS WORLDWIDE
Mercedes Benz
Nvidia
Santander

Sonar is a Leader in the inaugural Gartner® Magic Quadrant™ for Technical Debt Management Tools.

Gartner created this category in 2026, and Sonar was named a Leader in its first edition — recognized on both axes of the evaluation. The Remediation Agent is the Solve stage of that platform: the part that clears the debt once it has been found.

Read the report
Gartner prediction 80%

By 2027, Gartner predicts architectural technical debt will account for 80% of all technical debt — debt that cuts across systems and layers, not single files.

Gartner, Magic Quadrant for Technical Debt Management, May 2026

Why Remediation Agent

Every team has a backlog it can't get to.

arrows pointing up on a diagonal

Clear technical debt at scale

secure

Verified, not suggested

Leadership-driven, developer-approved image

Leadership-driven, developer-approved

Audit trail by default image

Audit trail by default

How it works

Closed-loop verification

Most AI coding tools generate a fix and hand it to you. The SonarQube Remediation Agent proves the fix works before you ever see it. Each change is validated against the same analysis engine that found the issue in the first place.

Assign

Generate

Verify

Deliver

1. Assign

Select issues from your backlog by rule, severity, project, or category and assign them to the agent. Or schedule recurring runs, or trigger on a single issue or PR finding.

2. Generate

The agent reads your project context, active quality profile, and the specific rule violation to generate a targeted fix. Bring your own LLM: GPT-5.5 or Claude Opus 4.6.

3. Verify

The Loop

The fix is applied in a sandbox and the Sonar engine re-runs analysis. If the issue isn't resolved, or a new one appears, the fix is discarded and retried.

4. Deliver

Only verified fixes become pull requests. Your developers review, approve, and merge through their normal workflow.

Key benefits

Value for every role on your team

Turn debt into a plan

Technical debt stops being a vague concern and becomes a measurable workstream. Assign categories of debt from the dashboard, watch the numbers move, and report progress with evidence. Reduce risk in your estate without trading away roadmap velocity or hiring for maintenance.

Standardize quality across every repository

Operationalize your organization's quality profile at scale. The agent applies the same standards consistently across thousands of repositories, clearing legacy debt and new issues alike — without per-team negotiation or manual triage.

Reduce exposure with an audit trail

Remediate reliability issues, select security findings, exposed secrets, and dependency vulnerabilities systematically rather than opportunistically. Every fix is traceable to a verified finding, cutting Mean Time to Remediate while producing the evidence auditors ask for.

Get the backlog off your plate

The issues you've been meaning to fix arrive as verified pull requests instead of tickets. No prompting, no context switching, no cleanup sprints. Review the change, confirm it's right, merge.

The difference

Why this isn't another coding agent

Closed-loop verification

We don't just generate fixes — we validate them. Every patch runs against the Sonar analysis engine in a sandbox. If it fails the quality gate or introduces new issues, it's rejected before it reaches a pull request.

Deep analysis context

Generic coding assistants see the file open in your IDE. The Remediation Agent draws on 16+ years of code analysis expertise: full cross-file context, taint analysis paths, and your organization's specific quality profiles.

Built for backlogs, not just diffs

Most AI fix tools work one issue at a time, inside a single pull request. The Remediation Agent works through hundreds of issues in parallel across your existing codebase — the debt that accumulated before today's commit.

No prompting required

No chat, no prompt engineering. Issues are assigned or scheduled, and the agent works autonomously from there. Underneath, it runs on the Sonar Foundation Agent — ranked #1 globally on SWE-bench Verified — so task-level accuracy scales with volume.

Coverage

What the agent remediates

Category Examples
Reliability Null dereferences, resource leaks, logic errors
Maintainability Code smells, complexity, duplication, dead code
Security Select vulnerability types and security hotspots
Secrets Hardcoded credentials, keys, and tokens
Dependencies Known vulnerabilities in third-party packages

Languages

Java · JavaScript · TypeScript · Python · C#

Platforms

GitHub · Azure DevOps · SonarQube Cloud Enterprise

FAQ

Frequently asked questions

No. Unlike a chatbot, you don't prompt it or have a conversation with it. When a PR fails its quality gate, a developer triggers the agent with a single action — from there, it autonomously analyses the issues, generates a fix, verifies it against Sonar's own engine, and opens a pull request. Same with backlog: select the issues, assign them to the agent, and it handles the rest. The interaction is one action, not a back-and-forth.

Currently, the agent supports Java, JavaScript, TypeScript, and Python. These cover the highest volume of modern web and backend development.

It's our secret sauce: 1) LLM proposes a patch. 2) We apply it to a sandbox. 3) We run the full SonarQube analysis. 4) If the issue is gone and no new bugs are introduced, we post it to the PR.

See SonarQube Remediation Agent in action today