Streaming Agents Explained: How They Differ From Chatbots
Discover how streaming agents go beyond chatbots, serving as the eyes and ears of the business, monitoring and reacting to events as they happen.
Systems | Development | Analytics | API | Testing
Modern Software Development For Today's Systems & Applications
From Static to Smart: A ThoughtSpot Demo on Embedding AI-Powered Intelligence
Tired of staring at dashboards without understanding the why? This demo from our Boundaryless Launch shows you how to go from static metrics to dynamic, AI-powered insights. See how we’re embedding live analytics directly into applications, allowing users to: Watch now and see how you can transform your dashboards into a launchpad for smart, data-driven action.
Build Custom AI Workflows in Minutes with ClearML's Native Application Ecosystem
By Erez Schnaider, Technical Product Marketing Manager, ClearML The number of AI applications are rapidly increasing, and it can be difficult to keep up. Every month brings a new protocol, LLM, or tool. In this environment, the true strength of a platform is measured not only by its core features but also by its extensibility and adaptability to change. Many platforms address this challenge by hosting OSS tools or exposing API connections.
How to Orchestrate Testing with the SmartBear MCP Server
Managing a large suite of automated tests, especially across multiple tools, can be overwhelming. The SmartBear MCP (Model Context Protocol) Server centralizes orchestration, monitoring, and prioritization so you can keep pipelines fast, reliable, and easy to manage. The demo video below shows MCP in action, and the sections that follow explain how each capability can help you get more out of both open-source and commercial testing tools. Explore these docs to learn how to get started.
Best Cloud-Based Automation Testing Services 2025
It's 3 AM, and during the testing process, your mobile app crashed in the middle of high traffic. Your outdated test infrastructure is unable to mirror real-life scenarios fast enough, and serious problems go undetected. On the other hand, a competitor provides a seamless user experience as they embrace Cloud-Based Testing and gain unmatched flexibility of open devices, speed of finding defects with their rapid scalability.
Learn Swift Composable Architecture
Swift Composable Architecture (TCA) is one of the cleanest and most scalable ways to build iOS and macOS apps today. Created by Point-Free, it pulls together state management, side effects, dependency injection, and modular design into one consistent and predictable system. Whether we’re crafting a tiny feature or designing a full-scale app, TCA helps us write Swift code that’s easier to test, easier to work out, and a lot less painful to maintain over time.
Data Streaming: The Key to Tackling Data Challenges for AI Success
As artificial intelligence (AI) matures from experimentation into production use cases, the symbiotic relationship between data and AI becomes increasingly clear. To deliver real business impact—smarter automation, better customer experiences, and massive cost takeout—AI use cases are only as powerful as the data they’re running on.
BigQuery under the hood: Scalability, reliability and usability enhancements for gen AI inference
With recent performance improvements to BigQuery, users can expect gains in scalability, reliability, and usability across BigQuery and BigQuery ML.
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.
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?