Systems | Development | Analytics | API | Testing

How AI-Generated Code is Changing Software Testing

AI coding tools have quickly become part of everyday software development. What started as an experiment is now a normal part of how many teams write, ship, and update code, with tools like GitHub Copilot, Cursor AI code editor, Anthropic’s Claude, and ChatGPT being used across a wide range of workflows. The productivity gains are real. Developers are moving faster, shipping more changes, and spending less time on repetitive work. But as output increases, so does the risk.

Your Data Is Never Enough: Turning Listings Into Intelligent Property Insights

Most real estate platforms feel they have a solid foundation with their existing data: listings, photos, pricing, and descriptions. This data is a powerful starting point. However, the real opportunity lies in transforming this raw input into genuine intelligence for critical decisions—like optimizing property pricing, refining search rankings, or personalizing listing recommendations. Raw listing data is the necessary input; adding context is the key to unlocking its massive, untapped value.

Monitoring Django Query Performance with AppSignal

Slow database queries are really a pain. It’s easy to blame Django for taking ages to process a request, but the real issue may lie in an SQL query not doing what it should be. These performance degrading queries are often hiding in plain sight. By the time you notice them, they are already affecting your end users. AppSignal is an application performance monitoring (APM) tool with support for Python and Django out of the box.

iPaaS Tools: Comparison of iPaaS Solutions | DreamFactory

With the relative newness of the iPaaS (Integration Platform as a Service) vertical, no single platform has emerged as the de facto choice for enterprises. This can present a challenge if you're trying to choose among the large pool of solutions available – especially when certain solutions labeled "iPaaS" serve very different use-cases.

No More Static Secrets: Kong Expands Cloud-Native Authentication Support

How Kong Gateway 3.14 closes the consistency gap in IAM-based authentication across AWS, Azure and GCP — and what it means for your production deployments Enterprise security teams have clear requirements: no static credentials, no exceptions. Every service-to-service connection, whether it's Kong talking to databases, caches, or vaults, should authenticate using the same IAM-based identity model that governs the rest of their cloud infrastructure.