When was the last time you actually looked at the API calls in your codebase? Not the ones you wrote yourself, but the ones quietly generated by your AI assistant. Do you know where they point? Are they hitting a test server? Did they skip authentication? Are they leaking something in error responses? You start asking these questions after something goes wrong (and no one knows why) ... The thing is, generative AI (GenAI) is excellent at speeding up how we write code, but it could become a major concern if not thoroughly checked ...

Formerly lower-priority issues are now significant and pressing security challenges. Some of the most urgent issues are the related realities of rapid sprawl of non-human identities (NHIs), the secrets that enable them, and the very vaults that were adopted to address those concerns ...

The software development landscape is shifting in ways that demand completely new thinking about team dynamics and collaborative workflows. As AI capabilities expand beyond simple code completion, we're now seeing how human creativity and artificial intelligence can collaborate as partners. This transformation isn't just about adopting new tools or automating existing processes. It represents a complete reimagining of how high-performing teams approach software innovation ...

Everyone is looking for new ways to use or integrate AI in their workflows, but not everyone is building to support its long-term use, according to the State of Development Report from Temporal Technologies. Only 1 in 4 respondents say their workflows operate smoothly, while others cite high overhead, brittle processes, and recovery issues that consume engineering time and slow teams down. The data points to growing operational strain and rising complexity as teams embrace AI, long-running systems, and multi-layered workflows ...

Global economic disruptions aren't restricted to supply chains and manufacturing; their impact also quietly infiltrates the software industry. Software teams quickly feel the pinch when the global economy experiences some turbulence ... Although software companies are not directly affected by tariffs on physical goods, the indirect consequences are becoming harder to ignore. The software industry depends heavily on hardware infrastructure ...

In today's enterprise, software is not just an enabler, it is the business. Whether you're in financial services, healthcare, logistics, or retail, your ability to deliver high-quality software directly affects customer experience, operational efficiency, regulatory compliance, and brand reputation. And yet, despite significant investments in Agile and DevOps, software failures still happen, often at high cost. Why? Because quality isn't just a technical process. It's a business mindset and it starts much earlier than most organizations realize ...

As organizations deploy increasingly sophisticated Artificial Intelligent (AI) agents and autonomous systems, a critical architectural challenge is emerging: the need to seamlessly handle both continuous data streams and separate task execution within the same infrastructure ...