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Home»Machine-Learning»Sonar Acquires Gitar, Increasing Code Verification Platform to Embrace AI Code Evaluate
Machine-Learning

Sonar Acquires Gitar, Increasing Code Verification Platform to Embrace AI Code Evaluate

Editorial TeamBy Editorial TeamMay 21, 2026Updated:May 21, 2026No Comments5 Mins Read
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Sonar Acquires Gitar, Increasing Code Verification Platform to Embrace AI Code Evaluate
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Corporations to mix agentic AI reasoning with industry-leading zero-trust, multilayered code verification platform

Sonar, a worldwide chief in AI code verification and governance, has acquired Gitar, the AI-native code assessment platform. Now, Sonar will ship industry-leading AI code assessment unified with the {industry}’s most complete verification engine, purpose-built for the agentic period. Sonar’s AI code verification platform, SonarQube, will seamlessly combine with Gitar to offer code assessment from the second an agent begins writing code to the second it lands within the codebase.

Greater than 75% of the Fortune 100 and seven million builders and their AI brokers depend on SonarQube to make sure the standard, safety, and architectural integrity of AI-generated code. SonarQube’s outcomes are measurable: groups that use Sonar are 44% much less possible to expertise outages attributable to AI-generated code, and codebases cleaned by SonarQube scale back AI agent token utilization by as much as 8%.

“Enterprise adoption of AI is determined by sturdy verification of agentic output. Proper now, each enterprise is asking the identical query: ‘How can we transfer quick with AI with out breaking issues?’ Now, enterprises could have a unified platform that brings collectively the most effective of AI code assessment and essentially the most complete verification engine out there, offering the best degree of assurance whether or not you’re utilizing Claude Code, Cursor, Codex, Devin, or GitHub Copilot,” stated Tariq Shaukat, CEO at Sonar.

Gitar is led by Ali-Reza Adl-Tabatabai, a veteran of Uber, Google, and Meta, and Gautam Korlam, who collectively helped construct Uber’s centralized developer platform. Adl-Tabatabai and Korlam will be part of Sonar and lead the event of the Gitar platform. Gitar will proceed to be accessible as a standalone product with no influence to current clients. Gitar will even be accessible to buy with SonarQube and SonarQube Superior Safety.

“Whereas the market chased AI code era, we centered on the tougher drawback: validating it. We constructed Gitar as a result of we noticed firsthand what occurs when growth velocity outpaces code high quality. AI has made that drawback an order of magnitude larger. We’re deeply happy with what we’ve constructed at Gitar, and excited to deliver that work into Sonar. Collectively, we’ll ship the best, unbeatable verification platform for the agentic period,” stated Ali-Reza Adl-Tabatabai, CEO at Gitar.

With this acquisition, Sonar clients will be capable to analyze the syntax, information flows, logic flows, management flows, architectures, and dependencies of their codebase; set and implement their very own requirements in a extremely correct, constant, repeatable, clear, and auditable method; agentically repair recognized points; and do all of this because the brokers are writing code and of their CI workflows. Sonar’s providing strikes organizations away from noisy alerts and sophisticated operational overhead to clear, actionable outcomes that enhance software program high quality, enhance supply confidence, and scale back agentic coding time and token prices.

Additionally Learn: AIThority Interview With Rohit Agarwal, Founder & CEO of Portkey

To study extra about Sonar and Gitar, be part of us on June 11, 2026, for a stay demo and Q&A session.

Sonar innovation within the agentic growth period

The acquisition of Gitar demonstrates a deepened dedication to delivering worth throughout the Agent Centric Growth Cycle (AC/DC), Sonar’s methodology for guaranteeing AI brokers are working in a reliable, constant, and clear approach. During the last 12 months, Sonar has expanded its providing to incorporate the next new merchandise and options:

  • SonarQube Superior Safety extends verification to your software program provide chain, with dependency-aware superior static utility safety testing (SAST) and software program composition evaluation (SCA).
  • SonarQube Agentic Evaluation brings the ability of SonarQube to agentic self-verification, enabling AI brokers to verify their very own work towards a corporation’s high quality requirements in actual time, stopping points from compounding by means of subsequent reasoning duties.
  • SonarQube Structure enforces rigorous architectural requirements for each brokers and builders, guaranteeing AI-generated code integrates cleanly with current methods fairly than introducing structural fragility.
  • SonarQube MCP Server connects AI brokers to SonarQube’s evaluation engine in actual time, enabling instruments like Claude Code, GitHub Copilot, Cursor, and Devin to evaluate code high quality and safety points with out leaving their workflows.
  • SonarQube CLI is a command-line interface for agentic environments, scanning each code snippet an AI agent produces in actual time and robotically intercepting session tokens, API keys, and different delicate credentials earlier than they attain an LLM supplier.
  • SonarQube Plugin for Claude Code brings Sonar’s full code verification evaluation into Anthropic’s Claude Code as a single installable unit, bundling the SonarQube CLI, MCP Server, hooks, slash instructions, and secrets and techniques scanning.
  • SonarQube Remediation Agent delivers verified fixes for recognized points, closing the loop from detection to resolution.
  • Sonar Context Augmentation equips AI brokers with the appropriate context, guardrails, and organizational requirements—even earlier than a line of code is written—constructing in high quality from the beginning and considerably bettering check cross charges.
  • SonarSweep embeds enterprise context instantly into fine-tuned fashions, decreasing safety vulnerabilities in LLM outputs by as much as 67%, correcting code on the supply earlier than verification is even wanted.



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