AI
The great toil shift: How AI is redefining technical debt
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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Join the SonarQube Remediation Agent Beta
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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The automation shift: Why 64% of developers use AI agentic tools
In the fourth chapter of our State of Code Developer Survey report, we examine the next major shift in the software development lifecycle: the move toward autonomous agents.
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Shadow AI is already writing your code
In the third chapter of the report, we examine the tools developers are choosing to get the job done. The data reveals a fragmented landscape where standard corporate toolkits are competing with a massive wave of "bring your own AI" adoption.
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How to choose your LLM without ruining your Java code
When evaluating a new AI model, ensuring the code compiles and executes is only the baseline. Experienced developers know that functionality is just the first step; the true standard for production-ready software is code that is reliable, maintainable, and secure.
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The AI trust gap: Why code verification matters
In this second chapter of our State of Code Developer Survey report, we dig deeper into the developer psyche to answer a critical question: Do developers actually trust the code that AI systems are generating?
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