Getting an AI agent to write code is one thing. Knowing you can confidently ship and maintain what it produces is another, especially when teams are working with complex codebases, legacy code, and regulated development environments.
That’s the focus of our global alliance partnership with LTM. Our core platform, SonarQube, provides agentic code governance and verification to help enterprises ship what their agents create with confidence. LTM brings the engineering teams, delivery practices, and industry experience to apply those capabilities across its clients’ application development.
LTM’s AI Engineering practice serves more than 260 clients, including 26 of the Fortune 500 and the top five global banks. Within its BlueVerse AI Ecosystem, AgentIQ, AppIQ, and FusionIQ connect application modernization, agent orchestration, and quality engineering. By incorporating SonarQube into those workflows, LTM makes governance and verification part of how software is developed and maintained.
As Kaushik Chakraborty, EVP, Global Head of AI Business and Services at LTM, shared with me: “In an agentic software factory, the question is no longer whether an agent can write the code. It is whether anyone can prove the code is right before it moves. That is why Sonar is wired into our agentic software factory from the first line an agent writes: it verifies the change where the agent works, gates every pull request with evidence that is independent of the agent, and clears the existing backlog so modernization does not carry old debt forward.”
The focus of our work together centers on three related challenges: modernizing legacy code without adding more technical debt, applying governance across teams and tools, and improving agentic ROI lost to retries and rework.
A stronger foundation for modernization
As agents take on more of the modernization work, from finding their way around legacy code to implementing changes, opening pull requests and fixing what breaks along the way, speed stops being the main concern. The harder part is keeping every one of those changes faithful to how the system is meant to behave and to the standards your organization has set, all the way to release. Otherwise, you risk a modernized codebase that ends up remembering a slightly different version of the old one.
LTM’s AppIQ supports modernization by reverse-engineering legacy codebases into documentation and specifications for forward engineering. SonarQube extends verification into the agent’s workflow through Sonar Vortex, giving agents project-specific context, coding standards, and constraints before they write, then independently verifying their output as they work.
This helps teams catch deviations early rather than rely on an agent’s assessment of its own work. SonarQube also checks changes against the organization’s standards in CI before merge, providing evidence to help teams decide whether a change can move forward. It's also been proven to reduce token costs: Sonar testing with a leading coding agent found that leveraging SonarQube’s Vortex capability lowered token consumption by up to 36%.
Of course, existing technical debt needs attention too. SonarQube Remediation Agent generates fixes for confirmed findings and re-runs analysis to verify each fix before opening a pull request for developer review. LTM incorporates that remediation from SonarQube into its modernization approach, drawing on its delivery practices and remediation playbooks.
For clients, this brings checks on new changes and remediation of existing debt into LTM’s modernization work, rather than leaving the backlog for another project.
Making governance part of day-to-day delivery
A common set of standards is only useful if teams can apply it consistently. That gets harder when different teams use different agents, work in different languages, and maintain codebases with different risk profiles.
SonarQube applies the same standards across all of your code, and its verification stays independent of whichever agent or developer wrote the change. LTM adds its experience in regulated industries, helping clients build those checks into the way they already deliver software.
Together, this ties governance and verification to the decisions teams make every day, such as whether a change meets the organization’s standards and what must be resolved before it can merge (and by whom). SonarQube keeps an auditable record of what was checked and how each finding was handled, so when someone asks why a change shipped, the answer comes with evidence attached.
LTM engineers have also been trained on SonarQube, giving its delivery teams a foundation for applying Sonar's approach within client engagements rather than treating SonarQube as a separate tooling exercise.
Turning AI coding spend into accepted changes
Our 2026 State of Code Developer Survey shows why this matters: developers report that AI now accounts for 65% of committed code, up from 42% a year earlier, and they expect that share to reach 76% within the next year. The bottleneck is shifting from writing code to reviewing and validating it, as 85% of respondents have reported in GitLab’s 2026 AI Accountability Report.
For an enterprise investing in agentic development, repeated agent runs consume tokens, while lengthy correction cycles use engineering time. The token savings described above address one part of that cost; catching problems before review also helps reduce the work passed downstream.
LTM’s role is to make that approach part of client delivery, combining SonarQube’s feedback with its engineering practices. The aim is to preserve the time agents save teams.
Banking on confidence
Banking, financial services, and insurance are the initial focus of this work. LTM’s experience in these industries helps clients account for large legacy estates and established governance requirements as they adopt AI.
Their codebases may include COBOL and PL/I as well as Java and C#, all supported by SonarQube. That coverage is important when modernization spans older systems and newer code.
LTM puts SonarQube’s capabilities to work within its clients’ engineering teams and software delivery processes. Together, we help enterprises build the standards, controls, and evidence they need to confidently ship what their agents create.