Systems | Development | Analytics | API | Testing

The landscape of enterprise automation is undergoing a major shift, moving beyond bots and predefined workflows. The 2025 Gartner Hype Cycle for Enterprise Process Automation provides a clear roadmap for this new era, assessing the key innovations that will redefine how businesses operate. The central theme? As automation becomes more intelligent, autonomous, and democratized, the need for strategic orchestration has never been more critical.

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.

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.

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,

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.

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

Assume that your enterprise just rolled out a major product update after weeks of development and testing. But within hours of launch, customers are already experiencing problems: checkouts are failing in Safari, logins break in Firefox, and the Android app crashes. What was supposed to be a significant milestone release becomes an expensive fire drill, resulting in loss of revenue and customer trust. This is the harsh reality for many enterprises in 2025.

Building APIs for SQL and NoSQL databases used to mean weeks of coding, testing, and securing endpoints. In 2025, that’s no longer the case. With no-code REST API builders, you can expose databases like Postgres, MySQL, SQL Server, Snowflake, MongoDB, and DynamoDB in minutes — complete with authentication, documentation, and scaling features.

Hey there, Google Cloud customers! We've got some exciting news to share with you. You can now purchase Bitrise through Google Cloud Marketplace as a private offering. That's right: the lightning-fast mobile CI/CD infrastructure and powerful automated workflows you love from Bitrise, now with all the convenience of procurement and consolidated billing through Google.

Every QA engineer has felt the crunch: tighter deadlines, growing complexity, and the same old expectation that everything must work perfectly by release day. It’s not an easy balance. That’s why AI in software testing has become such a hot topic. It promises faster test case generation, smarter insights, and support with tasks that usually eat up hours of time. But let’s be clear: AI isn’t here to replace testers.