Systems | Development | Analytics | API | Testing

The promise of AI breaks down when testing focuses only on idealized inputs. Real users ask incomplete questions, switch languages mid-thread, or provide contradictory details that models must still handle.

Connect data from across all sources to see, understand, and predict every aspect of manufacturing operations and optimize decision making.

When writing Elixir, most developers quickly get familiar with IO.inspect as a quick way to see what's happening inside their code. But what many overlook is that IO.inspect is far more powerful than just a method that prints a variable to the console. In fact, with the right options and placement, IO.inspect can become a precise, highly targeted debugging tool, one that doesn't interrupt your program flow and works seamlessly with Elixir's functional pipelines.

When running UI tests with Selenium, you don’t always know what’s happening behind the scenes. Is your script clicking the right button? Is it filling the correct field? That’s where highlighting an element in Selenium makes a difference. Highlighting is a simple trick that gives you visual confirmation during test execution. It changes the appearance of the element temporarily (usually by adding a border or background color) so you can instantly see where the action is taking place.

FrankenPHP bills itself as “The Modern PHP App Server” and provides a single-process solution to running PHP. Its worker mode allows to greatly increase the performance of cleanly developed applications that are compatible with it by saving on framework bootstrapping time. Unfortunately, not every application is compatible with worker mode. Depending on the amount of global state kept by the application, updating it for worker mode is not always easy.

Modern apps, dashboards, and integrations need SQL Server data over HTTP. The safest pattern in 2025 is: expose only what you intend via read-only views, front it with a managed API layer (authn/authz, rate limits, logging), and publish documented REST endpoints. This guide shows a practical, production-ready path with DreamFactory.

At ThoughtSpot, we've long understood that a robust semantic layer is the linchpin of a successful data strategy. Our Agentic Analytics Platform is built on a semantic foundation that makes it possible for anyone to get trusted, instant answers from data using simple natural language. However, the industry has struggled with a foundational challenge for years: a lack of a common semantic standard.

The climate crisis is the defining challenge of our time, and cities are on the frontlines. Home to more than half of the world’s population, cities are both major contributors to global emissions and critical drivers of climate solutions. Delivering cleaner air, healthier communities, and resilient infrastructure requires not just commitment, but the power of data to guide and accelerate action.

Full stack session recordings capture everything that matters without impacting your application performance or adding unnecessary overhead. Traditional continuous recording tools and APM platforms take the same brute-force approach: capture everything. Every session, every log, every metric, whether you need it or not. That flood of data creates its own problems: high storage costs, constant filtering and sampling, and hours wasted sifting for the signal inside the noise.

In the current ecosystem of web and mobile apps, APIs are the ‘glue’ that connects clients and servers. We find two key paradigms of APIs: REST vs GraphQL, which have emerged as the primary methods of communicating data between applications. Each has strengths and weaknesses, and that choice is significant, as each has dramatic implications for the performance, scalability, and flexibility of your applications.