AI has dramatically accelerated how code is written, but it hasn’t changed how software is actually built. This mismatch is creating new bottlenecks, increasing hidden complexity, and making systems harder to trust. The next evolution isn’t better coding tools, it’s a fully structured, AI-driven lifecycle that governs how software is designed, validated, and continuously evolved.
I hallucinations in legacy systems are not a technology problem. They are a context problem. When a coding assistant breaks your database sharding logic or ignores a legacy authentication wrapper, it hasn't failed; it has simply made the most statistically likely guess in the absence of specific facts.
ChatGPT and GenAI have upended content creation and interaction with customers. As "newness" wears off, we settle into a (reasonably) reliable and predictable trajectory. Organizations have gone from "let's see how this works" to "we need to make this work for us ASAP." And now, GenAI opens the door to a bigger technology change: agentic systems.
Data Integration has become a key focus for organizations aiming to unlock value from their rapidly growing data. Cloud-scale data stores – databases, file stores, and the range of big data types – have led many to adopt a data lake house platform, Snowflake and Databricks most prominent among the many options.
Transitioning from VMware to Kubernetes can feel overwhelming, but it doesn't have to be. Just like updating old furniture, you don’t need to throw everything out at once. This blog explores a practical, phased approach to modernization, helping you navigate from legacy systems to cloud-native infrastructure.
Kubernetes (K8s) and containers have become just about every developer’s bread and butter for building, deploying, and scaling applications. But let’s be real—using K8s in the cloud-native race isn’t always a walk in the park. In fact, even though K8s automates a lot of the heavy lifting, there are still plenty of ways to stumble.
In the fast-paced world of green energy, where the ability to adapt is crucial, Databricks provides them with the tools and flexibility they need to stay ahead of the curves in the supply and demand landscape.
In the world of enterprise data management, text-to-SQL technology, while helpful, is it simply not enough for today’s complex data environments?
Learn from the recent major outage affecting IT and Security teams worldwide. Discover essential steps for rigorous system assessments, risk management, and business continuity planning to enhance your organization's security posture.
Uncover the risks of openwashing in AI tools like ChatGPT. Learn about the Linux Foundation's new tools for ensuring model transparency and protecting your interests.
CGDevX has always been about making things easier and more reliable for developers, and today we're announcing the release of the CGDevX Cloud Application Starter Kit (CNASK).
OpenAI, Google, and Meta streaking towards multimodal AI, enabling more human-like interactions and revolutionizing various applications.
Delve into the cost analysis of running AI compute resources independently versus utilizing hosted models. Learn about AWS pricing for GPU instances and consider factors like workload scheduling and hardware options.
Learn to harness the full potential of Meta's Code Llama in your coding workflow. Explore step-by-step instructions for using Code Llama directly within your favorite IDE and discover the benefits of local and cloud-based setups. Level up your coding game with Code Llama today!
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