Software Development Use Cases
tackle quality, risk, productivity and more
Browse our top use cases tailored to your needs and all the ways you can get more out of Sonar
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 a Clean Code state securely and 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 Clean Code, code quality, security, and main tenets of the DevOps CI/CD workflow.
AI is changing the world around us at the speed of light – the gulf between what was possible at the beginning of 2023 and at the end of the year demonstrates how quickly a technology can progress. As with any new technology, the new opportunities come with risks that have to be acknowledged and actively managed.
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Outsourcing software development requires a clear understanding of the potential risks. In this blog, we discuss five risks of this widely adopted strategy and provide tactics to minimize risk in delivered software.
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