Can we live dangerously? Sandboxing Claude, and the Claude foreman that runs the rest
How Scout runs a pen full of Claude agents behind one foreman, inside a sandbox with zero blast radius, credentials and all.
How Scout runs a pen full of Claude agents behind one foreman, inside a sandbox with zero blast radius, credentials and all.
The model isn't the only lever, and it's rarely the one you control. What you feed it is. A look at how Claude actually uses prompts, skills, and AGENTS.md, how to write each one well, and how we wire all three into Corral.
NestJS 12 launches @nestjs/observe, a native observability SDK. We break down what it does, where it falls short, and how it compares to cross-stack APM.
NestJS v12 ships native observability via @nestjs/observe, Oban unifies config, Phoenix switches JSON libraries, and Symfony patches three branches.
Starlette has an open PR to add native OTel spans. Here's what that means if you run Starlette or FastAPI with an APM tool.
Rails batches schema reads, node-mysql2 lands 3-6x perf wins, OpenAI Python SDK hits v3.0.0, and Starlette proposes native OTel tracing.
Create GitHub or Linear issues directly from Scout, Node.js gets complete logs and error monitoring, and Anomaly Detection adds direction filtering to cut alert noise.
AI applications need two layers of monitoring: LLM observability for output quality and token costs, and traditional APM for the application code underneath. A practical guide to what tools cover which layer.
Your AI coding agent can read your codebase but not your production data. MCP changes that. Here is how to connect monitoring to your development workflow.
An honest comparison of the 10 best application monitoring and observability tools in 2026. Covers Scout Monitoring, Datadog, New Relic, Grafana Cloud, Sentry, Elastic Observability, AppSignal, Honeybadger, Honeycomb, and Better Stack with pricing, setup time, and use case guidance.
What to monitor in a production Node.js app, where the common performance problems hide, and how to find them with APM tooling.
Sentry is error-first. Datadog is infrastructure-first. An honest comparison for teams choosing between them for error monitoring, with notes on where Scout fits.