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You, Me, and BugSplat's MCP

Let's face it - from an experienced developer's perspective, most software trends are, put lightly, incredibly annoying. The last thing a grizzled, old, technical wizard wants to hear is some half-brained junior developer telling them to switch their SQL server to MongoDB, replace the PHP EC2 with serverless Python, or rewrite their entire front-end with HTMX. The hype-train is so intense that even watching TV feels risky, as you might see something as absurd as an ad for AI toothpaste.

What's Holding Back AI Adoption in India?

Earlier this year, I spent a few weeks in India, visiting universities, speaking at meetups, and catching up with founders. What stood out wasn’t just the excitement about AI, but the focus on what it can actually do today. The curiosity about GenAI and big-picture questions around AGI is there, but most conversations centered around real needs: learning faster, applying for jobs, and getting healthier.

Device Management and Security Enhancements

Device Management and Security Enhancements The content outlines key features in device management and security, including external intelligence integration and new restrictions for iOS and Macs. It covers default browser settings, deep link functionalities, and compliance actions for device retirement. Enhancements in single sign-on for Macs and Apple's native SSO are highlighted, along with background scripts and policy-based controls for disk management. Upcoming capabilities and future discussions on app management and Android transitions are also previewed.

Tracealyzer Was Just the Beginning

If you’ve been building embedded systems for a while, chances are you know Percepio for Tracealyzer. And we’re proud of that. For over a decade, Tracealyzer has been helping engineers visualize and solve complex RTOS issues faster, with over 30 ways to slice and understand system behavior. But in 2025, embedded systems demand more. They’re always on. Always connected. And increasingly, always business-critical.

Building an end-to-end Retrieval- Augmented Generation (RAG) workflow

One of the most critical gaps in traditional Large Language Models (LLMs) is that they rely on static knowledge already contained within them. Basically, they might be very good at understanding and responding to prompts, but they often fall short in providing current or highly specific information. This is where RAG comes in; RAG addresses these critical gaps in traditional LLMs by incorporating current and new information that serves as a reliable source of truth for these models.

5 Common Mistakes to Avoid When Converting SVG Files to 3D Models

Converting Scalable Vector Graphics (SVG) files into 3D models has become especially popular. SVGs offer precision and scalability, but with 3D modeling, otherwise flat designs become textured, interactive spaces. However, it is not a foolproof process. Many beginners, and sometimes even experienced users, experience problems when converting these files. This can cause delays that derail time-sensitive creative projects. These are the 5 common mistakes to avoid when converting SVG files to 3D models.

Third party API Monitoring powered by OpenTelemetry semantics

In today’s cloud-native world, third-party APIs are everywhere. Payments, notifications, search, AI, analytics as modern applications are built on a web of external services. But what happens when one of those APIs slows down, starts throwing errors, or gets rate-limited? Suddenly, your users are facing issues, and you’re stuck asking.

AI at the Edge: Why Smart Data Placement is the Key to Unlocking Its Power

As organizations increasingly deploy AI solutions, I am seeing more and more that the strategic placement of data—particularly at the edge—is becoming paramount to unlocking AI’s full potential. This is a viewed shared by our partners at Riverbed, as highlighted in a recent white paper, Accelerating AI and Data Movement at the Edge. Edge computing enables businesses to perform complex operations at production sites by positioning compute resources nearer to users and operations.

Coding from Scratch: Embracing AI's Approach to Simple Solutions

Can coding with AI transform how we approach software development? Discover how AI's fearless approach to starting from scratch challenges traditional coding habits and inspires a new way of thinking. But is there a hidden cost to leaving libraries behind? Dive into the debate on coding efficiency and best practices.