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Prompt, Deploy, Pray Is Dead: Validating AI Code with Proxymock

Mar 13, 2026 By Alan Mon In Speedscale
Recent outages tied to AI-assisted code changes have pushed companies into a corner. After several incidents with massive “blast radius” impacts, organizations like Amazon introduced stricter controls—mandating that senior engineers manually review all AI-generated code before it hits production. That response makes sense on paper, but it exposes a fatal flaw in the modern development pipeline.
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Why 200k Developers Ditched Big Tech AI #openclaw #openai #claude #aicoding #aiagents #speedscale

Mar 12, 2026 By Speedscale In Speedscale
Is architectural purity dead? The big labs are racing for enterprise control, but developers are flocking to OpenClaw for one reason: ergonomics. It treats AI like a human, not a restricted tool. Are you sticking with the corporate harnesses or going unfiltered? Let’s talk in the comments. Learn more: speedscale.com.
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speedscale

Your Flaky Tests Are a Data Problem, Not a Test Problem

Mar 11, 2026 By Ken Ahrens In Speedscale
Your tests are not flaky. Your test data is. That 401 Unauthorized that fails every Monday morning? The OAuth token in your test fixture expired 72 hours ago. The order_id that works in staging but not in CI? It was hardcoded six months ago and the format changed from integer to UUID in January. The timestamp assertion that passes at 2pm and fails at midnight? You are comparing a hardcoded 2026-01-15T14:30:00Z against Date.now(). These are not test infrastructure problems. Retrying them will not help.
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Runtime Validation vs Static Analysis: Why You Need Both

Mar 11, 2026 By Ken Ahrens In Speedscale
Runtime validation does not replace static analysis. They solve different problems. Static analysis catches structural defects in code before it runs. Runtime validation catches behavioral failures by testing code against real production traffic. Enterprise teams adopting AI coding tools need both layers because AI-generated code introduces a new class of defects that neither layer catches alone. According to CodeRabbit's State of AI vs Human Code Generation report, AI-generated pull requests contain roughly 1.7x more issues than human-written ones. Many of those issues pass static checks cleanly.
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speedscale

AI Coding Agents Have a UX Problem Nobody Wants to Talk About

Mar 11, 2026 By Kush Mansingh In Speedscale
The pitch was simple: let AI write your code so you can focus on the hard problems. Three years into the AI coding revolution, and developers are focused on hard problems alright, just not the ones anyone expected. Instead of designing systems and solving business logic, engineers in 2026 spend a startling amount of their day managing the AI itself. Should you use Fast Mode or Deep Thinking? Haiku or Opus? Cursor or Claude Code or Windsurf? Should you write a SKILL.md file or a custom system prompt?
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speedscale

WireMock vs MockServer vs Proxymock: Java Mocking in 2026

Mar 9, 2026 By Ken Ahrens In Speedscale
Your WireMock stubs are lying to you. They were accurate when someone wrote them six months ago, but the payment API added a metadata field in January, the inventory service switched from REST to gRPC in February, and nobody updated the stubs because the tests still pass. Meanwhile, production is breaking in ways your mocks will never catch. This is not a WireMock problem. It is a hand-written mock problem.
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speedscale

Spring Boot API Testing: A Practical Guide for Enterprise Teams

Mar 3, 2026 By Ken Ahrens In Speedscale
Enterprise Spring Boot APIs should be tested at three levels: unit tests for business logic, integration tests for external service behavior, and traffic replay for production edge cases. Most teams only do the first. This guide shows all three using a real Spring Boot application that calls external APIs (SpaceX, US Treasury) with JWT authentication. The kind of service that looks simple in development and breaks in production.
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speedscale

Debugging Encrypted Microservice Traffic with Speedscale's eBPF Collector

Mar 3, 2026 By Matthew LeRay In Speedscale
Production bugs that only reproduce in actual traffic can be some of the most frustrating bugs in software development. You can stare at your logs, add traces to your code, add instrumentation – and still not be able to see the actual requests that went over the wire. And that gets even harder when the requests are encrypted and the system is a black box. You can use tools like Wireshark or Kubeshark to capture the requests.
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