Systems | Development | Analytics | API | Testing

Codemagic Patch ships live updates of HTML, CSS, and JavaScript to Capacitor, Ionic, and Cordova-on-Capacitor apps, without a new store binary. Say a checkout button stops working on some Android 15 devices, and the fix turns out to be four lines of TypeScript. In a Capacitor app, those four lines live in the web layer, inside a WebView, nowhere near native code.

Before you can answer whether checkout will survive Black Friday, you need a test you can rerun. In this demo, we used a coding agent and the Speedscale skills to record a Node app, mock its downstream API, and run a 30-second load test with 10 virtual users. That’s a small first step in holiday readiness. It gives you a working test and a result to inspect, with time left to fix what you find before a code freeze.

The first PostgreSQL post ran on a laptop: a demo app, a Docker container, and the proxymock CLI. That is the fastest way to see the idea. It is also not where your database problems live. Your real query mix lives in the cluster, where a Java service with a connection pool, an ORM and a schema migration tool sends the statements nobody wrote by hand. This post deploys an open source banking app to Kubernetes and records the queries one of its services sends to PostgreSQL.

Most CI tooling makes you pick a side. Visual editing or code. Git as your source of truth or a decent place to edit. A config small enough for one file, or a modular structure your tooling flattens the moment you touch it. The Bitrise Workflow Editor does not ask you to choose. It meets your config where it lives. One file or forty, stored on Bitrise or in your repo. This post covers both, in that order.

Here at Speedscale, our monorepo has 19 Go projects in CI. Fifteen produce container images for both amd64 and arm64; a few of those need CGO. We also publish cross-compiled CLI binaries for macOS, Linux, and Windows.

Before you start, paste this into Claude Code, Cursor, Codex, Gemini CLI, Kiro, or any assistant that can read a URL and run commands: The install-speedscale skill installs proxymock for your operating system and walks you through proxymock init. It stops when you need to complete browser sign-in, keeps your recordings on your machine, and connects the proxymock MCP server so your assistant can run the prompts later in this article.

Service virtualization tools don’t all solve the same problem. One team needs to simulate a single flaky HTTP dependency in CI. Another is dealing with mainframe middleware and legacy messaging protocols that most tools don’t touch. A third is running microservices on Kubernetes and wants traffic captured automatically without writing a single stub file. The category has expanded fast.

The first number from my local PostgreSQL 16 test was roughly 1,600 statements per second. It looked impressive. It was also the least useful result in the run. The useful part was the workload. It came from queries the demo app had actually sent: the same prepared statements, parameters, reads and writes. A synthetic benchmark tells you how PostgreSQL handles a synthetic workload. It does not tell you whether your migration just broke the UPDATE your app depends on.