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Digital Twins Gone Wild: My Unexpected AI Doppelgänger

Jan 20, 2026 By Alan Mon In Speedscale
I recently tried using AI to create a digital twin of myself. I uploaded a photo, expecting a futuristic, slightly improved version of me... and what did I get in return? A picture of Kim Jong Un. Clearly, AI has a sense of humor-or a very different definition of "twin." Forget Arnold Schwarzenegger and Danny DeVito. Digital Twins 2-Now Starring My AI Doppelgänger From Speedscale's perspective, a digital twin is built from real production traffic, continuously updated, and executable in your test and CI/CD environments.
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Mock vs Stub: Essential Differences

Jan 16, 2026 By Nate Lee In Speedscale
When discussing the process of testing an API, one of the most common sets of terms you might encounter are “mocks” and “stubs.” These terms are quite ubiquitous, but understanding exactly how they differ from one another - and when each is the correct method for software testing - is critical to building an appropriate test and validation framework. In this blog, we’re going to talk about the differences and similarities between mocks and stubs.
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The CES Hangover: 3 Expensive Hardware Fails That Were Actually Software Problems

Jan 15, 2026 By Alan Mon In Speedscale
The dust has settled on Las Vegas. We saw transparent TVs, cars that drive sideways, and enough “AI-powered” toothbrushes to confuse a dentist. CES is incredible at selling the dream of hardware. The demos are slick, the lighting is perfect, and everything works on the showroom floor. But as engineers, we know the dirty secret of CES: The hardware is the easy part.
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Let Your LLM Debug Using Production Recordings

Jan 11, 2026 By Matthew LeRay In Speedscale
Modern LLM coding agents are great at reading code, but they still make assumptions. When something breaks in production, those assumptions can slow you down—especially when the real issue lives in live traffic, API responses, or database behavior. In this post, I’ll walk through how to connect an MCP server to your LLM coding assistant so it can pull real production data on demand, validate its assumptions, and help you debug faster.
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Speedscale vs. LocalStack for Realistic Mocks

Jan 9, 2026 By Damaso Sanoja In Speedscale
API mocking plays a crucial role in modern software development allowing developers to simulate external API endpoints. It’s an effective way to isolate your application for testing and ensure that code changes don’t inadvertently break critical dependencies. Essentially, API mocking helps you create robust, reliable software by allowing you to test how your application interacts with external services.
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How to Do Full-Text Search Across All Application Traffic with Speedscale

Jan 9, 2026 By Matthew LeRay In Speedscale
Modern DevOps observability tools are excellent for monitoring system health, tracking distributed traces, and aggregating metrics. However, they lack the fidelity needed for full-text search across application traffic. While observability platforms excel at showing what happened and when, they often fall short when you need to find where a specific piece of data (like an email address, user ID, or transaction token) appears as it flows through your entire application stack.
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Essential KPIs for Software Development: Measure Success Effectively

Dec 29, 2025 By Nate Lee In Speedscale
In almost all industries, a standard set of KPIs helps to guide teams on whether they are doing the right things in the right ways, with the right outcomes. In software development, this has evolved significantly with industry-standard frameworks like DORA metrics (DevOps Research and Assessment), which have been validated across thousands of organizations worldwide. Some development frameworks, such as Agile, have some KPIs baked directly into them.
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Peeking Under the Hood with Claude Code

Dec 29, 2025 By Matthew LeRay In Speedscale
Claude is one of the go-to AI-native code editors for developers. Because it’s a simple chatbot interface housed inside a familiar CLI, it provides a pretty smooth path between traditional IDEs and agentic AI. But what’s actually happening behind the scenes when you ask it to write code, generate a test, or debug an issue? Who and what is it talking to behind the scenes? Can I prevent data leakage or do I need to add another layer to my tin foil hat?
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Top 5 WireMock Alternatives Best Practices

Dec 22, 2025 By Samuel Umoren In Speedscale
WireMock is a popular open source tool for simulating APIs in testing environments through the wiremock server in the wiremock cloud. It allows developers to stub HTTP responses, match requests by URL, headers, and body content, record and play back API interactions, and add configurable delays and errors. WireMock is known for its broad adoption and active community, which contribute to its reliability and ongoing updates.
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AI Prediction for 2026

Dec 19, 2025 By Matt LeRay In Speedscale
Every technology cycle comes with hype, backlash, and eventually… utility. AI is shaping up to be no different. As we head into 2026, the conversation is already shifting from “AI will replace everything” to “why isn’t this paying off yet?” This shift is heavily influenced by evolving market trends, as businesses and technologists respond to changes in customer behavior, operational patterns, and broader market conditions that shape expectations around AI.
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