Systems | Development | Analytics | API | Testing

Evolving in an AI Powered Testing World | Sreenidhi Rajakrishnan | Virtual Meetup

Signaling a focus on future-proofing skills and adapting to evolving technologies, which would resonate well with testers aiming to stay competitive. Gen AI will be discussed in depth for the audience to relieve the fear of AI. Various testing concepts implemented through Gen AI. A big shoutout to our sponsor BrowserStack for all their support in helping to do these events at such a scale.

5 Principles for Building Safe, Effective Enterprise AI Systems

In March 2024, the European Union passed the AI Act. This sweeping regulation reshapes how organizations deploy and manage AI systems. The law addresses AI risks that could affect both individuals and businesses, from hiring biases to critical infrastructure failures. Similar rules have started taking shape across the world, including several state-based regulations in the US. But the regulation is only the floor. We all share the responsibility of creating a safe, responsible AI future.

Fresh Off the Jet: Insights from the Snowflake and Databricks Summits

After two weeks of immersion at the Databricks Data + AI Summit and Snowflake Summit, it’s clear that the pace of innovation is accelerating faster than ever. Both events showcased groundbreaking advancements in AI, data orchestration, and table formats, with Iceberg, catalogs, and hybrid customer personas emerging as the key themes. Below are some analysis on the trends shaping the modern data ecosystem.

The post-hype reality for developers

Devoxx Poland 2025 felt different. Not because of revolutionary new frameworks or another "this changes everything" moment, but because of what didn't happen. The conference had an unusual dose of pragmatism, skepticism, and – dare we say it – common sense. Maybe it's because developers are asking the right questions: "Does this solve a problem?" and "What happens when this inevitably breaks?" Here's what emerged from the sessions we watched, and the people we spoke to.

Turn AI Agents into Fully Integrated Team Members with Model Context Protocols | Demo

Want Your AI Agents to Work Seamlessly with Salesforce, Slack, or Any External System? In this video, our Associate Software Architect Humza Khatri, explains how Model Context Protocols (MCPs) make it easy to connect your AI agents with third-party tools and systems, transforming them into fully integrated and task-ready team members. With the Astera AI Agent Builder, your agents can now access and act on real-time data from external platforms such as Salesforce, HubSpot, Microsoft Teams, Slack, and even custom APIs through a simple no-code configuration.

Unlocking Enterprise AI: Building a Secure Enterprise MCP Server for Claude Integration

The era of generative AI is upon us, and large language models (LLMs) like Claude are demonstrating incredible potential to revolutionize how businesses operate and interact with customers. However, to truly unlock this potential, AI needs secure and standardized access to the wealth of information and services locked within enterprise systems. This is where standards such as Model Context Protocol (MCP) come in, offering a powerful way to make enterprise resources AI-consumable.