OpenAI vs Claude on a RAG App: What Failed and What to Fix First
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,
Systems | Development | Analytics | API | Testing
Modern Software Development For Today's Systems & Applications
Troubleshooting Microservices with AI
Ever found yourself saying, "But it works on my machine!" when a bug pops up in a microservices environment? It's a common and frustrating problem. Unlike a monolithic application, microservices are a collection of independently deployed services that communicate with each other. This complexity makes it difficult to reproduce real-world issues on your local machine, as you may not have all the necessary services and dependencies running. But what if you could take a snapshot of a running application's behavior and bring it home for debugging?
Multiplayer MCP server: brings full stack session recordings into your IDE of choice
Multiplayer MCP Server streams full stack session data into your IDE. Give AI tools complete context—frontend, backend, annotations—for accurate fixes.
How to introduce AI Tools into your QA process successfully
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.
Celebrating IT Professionals Day: Turning AI Wishes Into Trusted Outcomes
IT Professionals Day is our opportunity to celebrate the people who keep the digital world running - the ones who make sure data is secure, reliable, and ready to power innovation. At Qlik, we know IT professionals aren’t just solving problems, they’re enabling possibilities.
Multi-Cloud API and AI Infra Gets Smarter: Managed Redis for Kong DCGW
Modern enterprises are embracing multi-cloud strategies to avoid vendor lock-in, optimize costs, and ensure resilience. Yet managing API infrastructure (which also happens to be AI infrastructure) across multiple cloud providers while maintaining performance and simplicity remains a significant challenge.
When AI Agents Can't Talk: The Problem of Intelligence Silos
AI agents are only as powerful as the data they can access and share. Confluent’s Sean Falconer explains how when agents can’t communicate effectively, intelligence silos form, limiting their potential and slowing innovation.
Shaping the Future of AI: A2A + Data Streaming | Life Is But A Stream Podcast
All AI problems are data problems—and one of the biggest is getting AI agents to talk to each other. This special episode with Sean Falconer dives into how agents built by different teams often end up stranded in “intelligence silos,” unable to collaborate or share context. The result? Fragmented AI that struggles to deliver real business value.
Qlik Trust Score for AI
In today’s AI era, everyone wants quick answers and instant outcomes. But without trusted data, those AI “wishes” can quickly backfire. That’s why Qlik created the patented Qlik AI Trust Score, now available in Qlik Talend Cloud - Qlik’s unified, enterprise-grade platform for data integration and data quality in the cloud.
7 MCP Mistakes and How to Avoid Them | DreamFactory
When AI projects derail, it’s rarely because the model was weak. More often, failure comes from using MCP in the wrong way—forcing it to act as a universal API, data pipeline, or real-time engine instead of what it truly is: an orchestration and intelligence layer. Recently, Nate B.