Sonar

Messy code isn't just a maintenance problem — it's costing you tokens. New research by Olivier Schmitt and Priyansh Trivedi confirms it: code quality directly drives LLM token consumption. The cleaner your code, the leaner your AI spend. That's exactly what Sonar 's AI Code Verification is built for. Check it out 👇 https://lnkd.in/eHQVpZYt

London 🇬🇧 The SonarQube World Tour is in your city on June 4, and I'd love to see you there. Sonar's experts are bringing the full conversation on what it takes to build confidently in an era of agentic development. We're offering developers real-time coaching and automated fixes in the IDE, hands-on breakout labs, happy hour, and the strategic picture for engineering leaders on governing AI adoption at scale and connecting code health directly to business outcomes. Come spend the day with us! Get your ticket:

The SonarQube World Tour 2026 is on 🎸 Sonar's experts are heading around the globe for a global series of gatherings built for dev and platform engineering teams navigating the shift to agentic development. Here's what you'll learn: 🔵 What it takes to establish a trust layer for a world where every line of code — human or machine-generated — is automatically verified for quality and security 🔵 The automated standards your teams need to safely adopt AI coding tools at scale without increasing developer toil 🔵 Why maintaining code quality and security directly impacts business agility and reduces long-term technical debt 🔵 What it looks like when Sonar acts as a real partner in your workflow — real-time coaching, automated fixes, and actionable feedback as you write code Find your city and grab your spot:

Today at AI Engineer Singapore, we successfully completed Sonar 's AC/DC workshop, showcasing the different products we have built to help multi-agentic workflows within a development process. It was great to see the feedback and the positive responses. Serendipitously, during the workshop, the Coding Agent ignored explicit instructions and introduced bugs despite having full context. This lapse perfectly illustrated why zero-trust third-party verification is essential in agentic workflows; the CI layer remains the final line of defense for your software. To help you bridge this gap, the SonarQube Remediation Agent can alleviate that 'last mile' repair within your CI. We’ve recently added C# support, and you can see the agent in action by enrolling in a free trial at SonarCloud.io . JX Wee (黃佳賢) Justin CHI Celeste Ngiam Ron Neo #Sonar #ACDC #AgenticWorkflow #SonarQube #RemediationAgent

The same code that's hard for a developer to read is hard for an AI agent to work through. More complexity. More re-reading. More tokens. Everyone's tokenmaxxing. Getting more from every token. The better question is how many tokens your codebase is wasting before the agent touches a single line of code. We measured it across over 660 agent runs. Codebases maintained with SonarQube used up to 10% fewer tokens, with no change in what got done. Code quality is now an AI cost lever. H/T: Priyansh Olivier Sonar #Coding #AI #Tokens #SonarQube Read our blog post: https://lnkd.in/gXwanx34

When your favorite bags brand ALEMI releases a new « working mom » bag with a Medela breast pump as a gift for the first customers and your maternity leave is ending the same week, you don’t think twice, you buy it 😉 My maternity leave is finally over and I am very excited to join Sonar again. Looking forward to my new challenges and opportunities. So now I’m officially an expat working mom of 2 🤪

With most software engineers now using AI to write code, review volume is increasing exponentially faster than manual capacity. This AI code bottleneck makes the choice of code review tools more critical than ever. I’m proud to see Sonar recognized in a new Gartner report by Shiva Varma, "How to Select Your AI Code Review Tool." The report defines two primary paths in the market: static analysis with LLM-native remediation (rule-first) and LLM-native detection (model-first). For security-conscious organizations and regulated industries, the report suggests prioritizing the rule-first approach for its deterministic and auditable scanning. As a representative vendor for the rule-first approach, Sonar provides the governance needed to maintain strict standards as AI code volume scales. Choosing Sonar ensures a foundation built on precision, which is essential for long-term growth in an AI-driven SDLC. Full report here, Gartner subscription required: