Systems | Development | Analytics | API | Testing

Your AI coding assistant just learned to speak Confluent. Developers live in their editors. The best platform tools meet them there—and increasingly, that means their AI assistants meet them there too. AI coding tools are already reshaping how developers build, debug, and operate software, but most of them are generalists. They can write an Apache Kafka producer, but they won't know your Schema Registry subjects.

ClearML is deepening its partnership with Dell Technologies by joining the Dell AI Ecosystem Program, announced at Dell Technologies World 2026. As part of this collaboration, ClearML is launching two pre-validated deployment blueprints — for Kubernetes and OpenShift — available in the Dell Automation Platform catalog, giving enterprises a fast path from bare metal to a full AI stack.

You asked for it. We built it. Our new MCP server means you can debug directly inside your AI coding tool using real app data from Bugfender. You can use it to: It works with Cursor, Claude Code, Codex and Gemini CLI. This article will show you how to install the Bugfender MCP server, which tools your agent can access, and how the companion skills help you fix bugs faster.

Not long ago, the answer to who writes tests was simple: the quality assurance (QA) engineer does. They sat downstream of development, received a build, and translated requirements into scripts. It was a defined role with a defined output. That clarity is gone. In 2026, the person or system responsible for test creation might be a business analyst (BA) mapping out a customer journey, an AI agent expanding test coverage overnight, or a QA engineer who hasn’t written a traditional script in months.

RESTful APIs and microservices solve different problems — REST is a style of API design, microservices is a pattern for structuring an application — but they work together so often that they're frequently confused. Most production microservices architectures use REST as the default communication mechanism between services, while plenty of monolithic applications also expose RESTful APIs to external clients.

The emergence of digital transformation technologies led to a nationwide change, causing a profound impact on various industries throughout the world. Among the conventional sectors affected by it, the healthcare industry emerged prominently. Interestingly, it not only disrupted but also provided a significant impetus to the healthcare sector, thereby positively influencing the different types of healthcare software and the medical software industry.

We are launching with this post a new series of blog articles and LinkedIn posts titled "Features Sitting Idle". In this series, we explore key features of OctoPerf that are either misused, misunderstood, or simply unknown to our users. It's time to shine a light on these hidden gems, features that are already there, ready to become a central part of how you test. This is probably the most common situation after a load test.