Systems | Development | Analytics | API | Testing

AI native development requires AI native testing because testing teams now face code generated not just by developers, but by AI agents as well. To keep pace and maintain quality, testers need comparable AI-powered capabilities that can generate, assist, and scale testing alongside AI-driven development, helping level the playing field and support faster, more efficient delivery — Coty Rosenblath, Chief Technology Officer at Katalon.

2025 was vibe coding. 2026 is Agentic Engineering - and the security rules haven't caught up. AI agents now have direct access to your databases, your APIs, your Kafka clusters. The protocol giving them that access is MCP. And most teams have no idea how exposed they are. We are fixing this problem with OAuth 2.1.

45 million vehicles, 90 markets, 12+ iconic brands, each with its own data silos, standards, and infrastructures. In this episode, Chetan Alatagi, Solution Architect reveals how they transitioned from fragmented legacy ETL silos to a Unified Data Ecosystem—a global data streaming highway that turns vehicle telemetry into real-time value.

In this episode of, *Steve Jordan* and *Shafreen Anfar* from WSO2 explore how integration is paving the way for the agentic enterprise, where humans and AI agents collaborate to drive business success. They discuss how seamless connectivity across systems provides agents with the real-time context and ability to take action that is necessary to scale AI from simple pilots to full-scale production. The conversation also highlights the importance of robust security, governance, and observability in managing this new digital workforce.

Discover why "Hybrid-Multi-Cloud" has moved from a theory to a regulatory necessity and how a unified data fabric overcomes the "Data Gravity" challenge. Learn the four success factors for moving beyond "Pilot Purgatory," including the role of acquisitions like Octopai and Taikun in building a frictionless consumption model. Moorhead shares insights from his global meetings with CEOs on closing the AI skills gap and achieving tangible outcomes in 2025.

Stop hunting for data and start using it. Most businesses struggle to see their complete data picture, but Cloudera’s unified data fabric changes the game. Our solution provides a comprehensive view across your entire data estate—whether it's in the cloud, on-premises, legacy systems, or third-party sources. By automating discovery, lineage, and governance, Cloudera ensures you know exactly what data exists, its origin, how it’s being utilized, and if it's being used correctly.

Discover why the transition from Generative AI to Agentic AI is the key to unlocking $40M+ in business value, even for non-technical users via Cloudera Agent Studio. Learn how the AWS and Cloudera partnership solves the "Data Readiness" challenge by bringing AI to the data, whether on-prem or in the cloud. This session covers critical strategies for AI governance, hybrid architecture, and the shift from task-based tools to autonomous digital workforces.

Is architectural purity dead? The big labs are racing for enterprise control, but developers are flocking to OpenClaw for one reason: ergonomics. It treats AI like a human, not a restricted tool. Are you sticking with the corporate harnesses or going unfiltered? Let’s talk in the comments. Learn more: speedscale.com.

Zend Server is approaching end of life — so what’s the best path forward for PHP teams? In this video, get clear Zend Server info as we compare Zend Server PHP features with the new Enterprise Web Platform and explain why it’s the safest migration option for modern, enterprise PHP applications.

As more developers use AI to help write code, studies show that AI-generated code quality is declining. Explore how static analysis keeps development momentum while ensuring software quality.