Systems | Development | Analytics | API | Testing

It goes without saying that crash debugging is crucial. For app quality, for App Store ratings, for compliance with Apple’s ecosystem. And if you’re new to the concept of debugging (or you simply want to top up your knowledge) this guide will give you a complete toolkit of tips and instructions. We’ll explain the most common iOS crash debugging scenarios and show you how to diagnose and fix them quickly.

For enterprise teams evaluating API testing tools like Insomnia and Postman, understanding the real cost is critical. Postman’s recent changes and Insomnia’s alternative approach tell different stories. Let’s dive in.

Shared state is a hard problem. Not hard in the abstract, computer-science sense (the concepts are well understood). Hard in the someone has to actually build this sense, where every team that wants a live leaderboard, a shared config panel, or a poll that updates in real time ends up reinventing the same wheels: conflict resolution, reconnection handling, state recovery. Most teams do not want to spend their time building and maintaining that layer. They want to ship the feature that depends on it.

In today’s ecosystem, building with Node.js is not just about writing code. It’s about running systems that are reliable, secure, and able to evolve over time. That’s where collaboration at the foundation level becomes critical. At NodeSource, working closely with the OpenJS Foundation is not just a partnership. It’s a commitment to the long-term health, security, and evolution of the Node.js ecosystem.

As organizations increasingly recognize the value of generative artificial intelligence, many are moving away from cloud hosted models in favor of on premises Large Language Models. This shift is primarily driven by the need to protect sensitive corporate data, maintain regulatory compliance, and reduce latency. However, an isolated local model offers limited utility. To truly unlock the potential of an on premises LLM, enterprises must connect it to their internal databases and APIs.

If you’ve spent any time debugging slow endpoints in a Phoenix application, you know the pattern: something is slow, you open your APM, you see a big chunk of time attributed to “Ecto” or maybe just “Controller,” and then you go make coffee while you grep through logs trying to figure out what actually happened. With v2.0 of the Scout APM Elixir agent, we’re closing that gap.

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.