Note: A version of this article was originally published on CIO Influence. Burnout is widespread in the world of software engineering. According to a 2023 report, 73% of developers have experienced burnout at least once in their careers, and work-life balance has been cited as a key driver of developer satisfaction. Luckily, there are tools and strategies that teams can implement to reduce mental load, prevent burnout, and improve overall developer wellbeing.

Visual glitches frustrate users and put the reputation of your business at risk. When people interact with an app, they expect a seamless experience. But when frame rates drop, scrolling becomes jittery, or screens freeze, frustration sets in – causing users to abandon your app and take their business elsewhere. SmartBear Insight Hub empowers developers to create high-quality user experiences on their applications. Performance monitoring is a key part of this process.

The financial services (FinServ) industry is constantly evolving and scaling, with global investment hitting $210 billion in 2022. Digital transformation has brought millions of customers online, and their demand for a smooth, secure, and responsive experience from financial institutions is growing fast. As the industry grows, challenges are inevitable – it seems like every week there’s a story in the news about an outage or data breach at a financial institution.

Knowing how well your application is performing is just as important as ensuring it doesn’t crash. But what defines “good performance?” How do you know if your app is hitting the mark or falling behind? With SmartBear Insight Hub, you can now use performance targets to set and track specific benchmarks for your application’s performance metrics.

AI is moving at breakneck speed – can your enterprise keep up without breaking down? As businesses race to adopt AI, the push for innovation is relentless. But while AI promises to accelerate development and unlock new opportunities, it also opens the door to unforeseen risks. Malicious models, supply chain vulnerabilities, and unpredictable behavior can derail even the most well-intentioned AI initiatives.

Digital transformation is no longer optional—it’s essential for staying competitive, driving value, and meeting evolving customer expectations. As Brian Solis puts it, “Digital transformation is to change the way you compete, how you create value, and how you can use digital tools and technology to be relevant as the world continues to evolve.” Organizations worldwide are taking this to heart, with spending on digital transformation expected to hit $3.9 trillion by 2027.

The promise of AI-driven development is undeniable – faster code, quicker releases, and unprecedented innovation. But here’s the catch: AI isn’t perfect, and the code it generates could be riddled with hidden flaws. In fact, within three years, over a third of all code will be AI-generated, and much of it may introduce more bugs into production than ever before.