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This post is about a recent change to the Sentry JavaScript SDKs. If you don’t use Sentry with JavaScript, it may still be useful as a look at how we made the change and why. In the Sentry JavaScript SDK v11, we rebuilt how our tracing integrations work. While we still support the OpenTelemetry standard (described in more detail below), we now instrument your dependencies with a code transformer instead of using the OpenTelemetry instrumentation classes as we did in previous versions.

TypeSafe AI released Jev in September 2026 to do one thing: make decisions. Give it a state (a string or a JSON object) plus a set of typed questions, and it returns typed answers with probabilities. It never explains itself, and that constraint is the whole idea. Evaluation pipelines have spent the last two years asking text generators for yes/no verdicts, wrapping the reply in a JSON schema, and paying generation prices for what amounts to a single bit.

NestJS 12 dropped last week with ESM packages, Standard Schema validation, a rebuilt CLI, and a brand-new observability SDK. That last one is the most interesting part for anyone running NestJS in production with an APM tool. At Scout Monitoring, we instrument NestJS applications through our Node.js agent. A framework shipping its own observability layer changes the conversation for every APM vendor in the ecosystem, including us. Here is what you need to know.

Most of what shows up in a JavaScript error tracker isn't a bug you need to fix; it's noise. Third-party scripts, browser extensions, and edge-case devices flood the feed, and the errors actually hurting your users get lost in it. This guide covers 12 production-tested practices for setting up JavaScript error monitoring that surfaces real, user-impacting bugs, not console spam, plus the error types you'll run into most often and how to configure alerting so your team stops getting paged for noise.

Modern web applications rely on frameworks like Next.js, Vue, and Angular to handle routing and rendering. In these architectures, navigation happens within the application rather than through full page loads, which makes it difficult for traditional browser instrumentation to capture what users actually experience. As a result, teams often see misleading view names, missing navigations, and errors that are either misattributed or not captured at all, especially during hydration or lazy loading.

Over the past few weeks, we have been driving a cross-ecosystem effort to replace the “monkey-patching” that powers all JavaScript APM tools today with something built into the runtime. Here is why, how, and where it stands. This applies to server-side JavaScript only (Node.js, Bun, Deno, Cloudflare Workers). Browsers do not have diagnostics_channel and lack the async context propagation primitives needed to polyfill it.

Caching is critical to modern apps, helping you serve data more quickly and improve your app’s overall performance. Effective caches can result in better Core Web Vitals (CWV), improved search visibility, and a smoother user experience.

With AI writing more and more of our code, properly monitoring and debugging that code has become an increasingly critical part of the development workflow that can't be ignored. Luckily, we have more time than ever to implement the right tools to do so. Implementing a production-ready logging solution is easy to do, and provides you and your LLM Agents with a wealth of debugging information from your app, across users and environments.