Systems | Development | Analytics | API | Testing

In March 2026, security researcher isfinne discovered that LiteLLM version 1.82.8—the most popular open-source LLM proxy in the Python ecosystem, with approximately 97 million monthly downloads—contained credential-stealing malware published to PyPI. Within hours, version 1.82.7 was confirmed to carry a similar payload through a different injection method.

The automotive industry has been undergoing significant changes as it works to adapt growing market demands and challenges associated with vehicles that are becoming much more software-defined. Here, we take a look at some notable automotive trends 2026, including highlights from our report, the 2026 State of Automotive Software Development, in partnership with Auto IQ and the Eclipse Foundation.

And more to the point… why do I need to read a whole blog post on it? Two good questions. Well when we’re debugging, stepping removes the guesswork by letting us watch the logic unfold step-by-step. We can pause the code, go through the execution one instruction at a time and isolate the exact point where the bad stuff happens. This is one of the most reliable ways to understand why a bug happens, not just where it shows up. It also shines a microscope on our code flow, showing us.

IT leaders today are in a high-stakes gridlock between the pressure to invest in new AI solutions and legacy systems that aren’t equipped to support them. With the pace of work today, long modernization projects are often untenable. They disrupt your workflows. They use up your team’s resources. And they sometimes fail to deliver results. So how do successful organizations move forward? They rethink their approach.

Data privacy laws continue to evolve and expand their reach, touching consumers, businesses, and regions of the world. The European Union’s General Data Protection Regulation (GDPR) has inspired many countries to establish their own regulations and set similar parameters for data collection. The Chile Data Protection Law is one of these regulations. While staying compliant isn’t always simple, it’s necessary for your operations and maintaining customer trust.

The rapid proliferation of Artificial Intelligence (AI) agents and Large Language Models (LLMs) is transforming how businesses operate. From automating customer service to generating complex reports, AI agents are becoming indispensable. However, this explosion of AI-driven interactions brings with it significant challenges in management, security, and governance.

Enterprise adoption of large language models introduces a fundamental security challenge: how do you grant AI agents access to internal data without creating a backdoor that bypasses your existing access controls? Traditional database connections rely on service accounts with broad permissions, but when an LLM queries your customer records or financial data on behalf of a user, it must respect that user's specific entitlements.

Bringing APIs and events together has always been a challenge. REST APIs give developers a familiar interface, while event brokers like Solace Broker excel at fan-out, filtering, and scalable, reliable event delivery. The tricky part? Bridging these two worlds without building a lot of custom glue. That’s exactly what the new Kong plugin for Solace upstream mediation does.

Enterprise product teams are squarely in the throes of a massive shift. New Gartner research crystalized that companies using AI tools for product management are reaping a significant 35% productivity gain and achieving a two to three-year time-to-market advantage over those who wait.