Systems | Development | Analytics | API | Testing

As artificial intelligence (AI) matures from experimentation into production use cases, the symbiotic relationship between data and AI becomes increasingly clear. To deliver real business impact—smarter automation, better customer experiences, and massive cost takeout—AI use cases are only as powerful as the data they’re running on.

We’re proud to announce that Confluent has been named MongoDB’s 2025 Global Tech Partner of the Year. This award highlights the strength of our partnership and joint go-to-market execution, helping enterprises build the next generation of intelligent, event-driven artificial intelligence (AI) applications.

With recent performance improvements to BigQuery, users can expect gains in scalability, reliability, and usability across BigQuery and BigQuery ML.

Modern application development demands speed, reliability, and reproducibility. But between third-party APIs, unstable backend services, and inconsistent test data, API development often struggles to achieve dependable environments for testing and iteration.

Multiplayer MCP Server streams full stack session data into your IDE. Give AI tools complete context—frontend, backend, annotations—for accurate fixes.

Ephemeral test environments have surfaced as a solution to DevOps teams’ growing challenges. Dealing with spiraling cloud costs and infrastructure maintenance is only getting more complex. Development teams find themselves competing for limited or stale environments while datasets grow larger. As a result, development velocity suffers. Application teams need realistic data for effective testing.

We put two of the most talked-about models head-to-head in a real-world RAG scenario, and the results might surprise you. Hemraj Bedassee , Delivery Excellence Practitioner,

As leaders across industries, we’ve all experienced the frustration of legacy BI tools—spending weeks building dashboards that end up unused, or struggling with rigid filters that block true exploration and insight. Calling this “data-driven” is no longer acceptable! Today, the pace of AI innovation has raised expectations. Customers and end users now demand instant, contextual, and explainable intelligence, seamlessly embedded into their daily workflows.

In this year’s Appian Developer Sentiment Survey, nearly 1,000 Appian developers from six continents shared their insights—a 53% increase from the last survey. The result? The most representative snapshot of the global Appian developer community yet. This report captures what matters most to you—from views on AI and certifications to career goals and go-to resources—and how these inputs are shaping what’s next for Appian developers.