Systems | Development | Analytics | API | Testing

The Future of Coding: How Cursor and WarpStream Power AI Productivity | Life Is But A Stream

Software development is changing fast. With Cursor, Anysphere is building an AI-forward IDE that fuses human creativity with machine intelligence. At the heart of this transformation is data streaming—making it possible to train models responsibly, deliver lightning-fast Tab completions, and scale telemetry without breaking engineering velocity. In this episode, engineer Alex Haugland shares how WarpStream gives Cursor sovereignty over user data, how telemetry and accounting pipelines strengthen product decisions, and why “coding is really just a bug” in how we interact with computers.

Index Engines and Hitachi Vantara Advance Enterprise Cyber Resilience with AI-Driven, SLA-Backed Clean Data Recovery Innovation

Hitachi Vantara: Ransomware Detection powered by CyberSense® Uniquely Delivers 99.99% Accurate Data Corruption Detection and Guaranteed Clean Data Recovery at Up to Twice the Speed of Alternatives, Minimizing Downtime and Risk.

MCP Tutorial: Connect OpenAI Agent Builder to Enterprise Data in 60 Seconds | DreamFactory MCP

Most teams testing OpenAI’s new Agent Builder hit the same wall: connecting to their real enterprise data securely. In this 3-minute tutorial you’ll learn how to: DreamFactory MCP bridges the gap so you can move from demo to production-ready agent on real data — fast, secure, and with no new infrastructure. Deploy locally: npx @dreamfactory/create-df-mcp.

From Scripts to Scenarios - How AI Understands What to Test

Traditional test scripts are too brittle for today’s fast-moving, complex systems. AI-powered agents enable a shift to scenario-based testing - high-level, reusable flows that describe user intent and behavior. Agents can help extract, generate, and evolve these scenarios, while humans guide relevance, risk, and validation. This approach improves stability, cross-platform coverage, and business alignment.

Why AI-native Testing Redefines Quality? Next Steps for QA Leaders

When you think about test automation, what image comes to mind? For many QA leaders, automation still means running the same scripts every night, chasing down false-positives, and fighting maintenance debt. That model served us well for a while, but it was always limited: automation only runs what humans script. The next era is about AI-powered testing. AI-powered testing doesn’t just execute predefined tasks; it generates coverage dynamically, adapting as your application evolves.

From Cost Center to Revenue Generator: Energy-Optimized GPU-as-a-Service

By Erez Schnaider, Technical Product Marketing Manager, ClearML The GPU-as-a-Service market is experiencing hyper growth. Yet across telecommunications companies, cloud service providers (CSPs), and enterprise organizations, GPU infrastructure has been viewed as a necessary cost center rather than a strategic asset. This perspective is changing as energy optimization technologies and multi-tenant capabilities transform GPU infrastructure into monetization engines and competitive differentiators.

Expanding the AI Data Landscape: Confluent's Q3 Integrations Summary

In an era when every second counts, enterprises that can act on information the moment it arrives are positioned to win—and real-time streaming data is the fuel that brings artificial intelligence (AI) to life. Powering agentic AI and advanced analytics can’t be done with static or delayed data; organizations need a comprehensive, reliable supply of streaming data representing their entire businesses.

How to Connect OpenAI Agent Builder to Your Internal Databases with DreamFactory

OpenAI's new Agent Builder is revolutionizing how businesses create AI-powered workflows with its intuitive drag-and-drop interface. But here's the challenge that every enterprise faces: how do you give your agents access to internal databases without exposing credentials or compromising security?