solutions
Browse our top use cases tailored to your needs and all the ways you can get more out of Sonar.
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Generative AI is trained using human code, at higher volumes and faster speeds, and its output includes all the same issues as human-created code. To maximize the advantages of generative AI in coding, developer teams need robust DevOps processes, reporting, and metrics that focus on code quality, security, and reliability.
Our use cases highlight the key areas your organization can tackle to achieve high quality, secure code at scale.
The landscape of software development is continually evolving, and at the forefront of this evolution is DevOps – a methodology that combines software development (Dev) with IT operations (Ops) to shorten the development lifecycle and provide continuous delivery with high software quality. However, challenges arise from inefficient processes to inadequacies in maintaining the balance between speed, quality, and security. The crux of solving these problems may lie in innovative tools and practices, notably Sonar static code analysis solutions.
Thought leadership pieces covering important facets of the developer industry.
Technical debt refers to the future costs of rework or maintenance that arise from prioritizing speed and short cuts over code quality in software development, with the debt accumulating over time and requiring resources to be paid off, making it crucial to address and minimize from the start of a project. Technical debt and its many facets can have a significant impact on software development lifecycles.
Core topics for developers focusing on code quality, security, and main tenets of the DevOps CI/CD workflow.
Resources and news
We’ve seen that while AI is accelerating the speed of generation, it has created a dangerous bottleneck in code verification. This brings us to the fifth installment in our series, where we examine the on-the-ground reality for software engineers.
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On March 3, Sonar will host its inaugural Sonar Summit virtual event, bringing together industry experts and software engineering leaders to discuss the strategies needed to optimize the AI-driven software development lifecycle.
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The biggest bottleneck in any modern CI/CD pipeline isn’t writing the code—it’s the “review-fix-verify” loop that happens when a quality gate fails. Today, we’re taking a step toward closing that loop by opening sign-ups for the SonarQube Remediation Agent Beta.
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