Dark Code: The AI-Generated Software Nobody Understands
Dark code is software no human has written, read, or reviewed. As AI tools accelerate, the gap between shipped code and understood code is widening fast.
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Latest insights on Agentic AI workflows, cloud native architectures, and performance optimization best practices from the Speedscale team.
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OpenTelemetry Trace Testing for CI Release Gates
Trace-based testing uses OpenTelemetry traces as replayable test input so CI catches production regressions before deploy, not after incident review.
When Your Observability Literally Stops Traffic
Observability tells you what failed—but not how to recreate it. Why reproducibility is the missing fourth pillar, and what that means for incident response.
Why Autonomous AI Agents Can't Run on SaaS Infrastructure
SaaS AI fails when agents need continuous access to your codebase and internal APIs. Here's why BYOC is the only deployment model that works at scale.
From Datadog to CI Tests: Catch Regressions Before Deploy
Learn a practical workflow to convert Datadog metrics, traces, and incidents into CI tests that catch regressions before deploy.
Why You Should Stop Buying SaaS and Start Building It
LLMs have collapsed the cost of custom internal tools. Here's the startup distribution problem I've watched kill companies — and how I vibe-coded my way out.
AI Coding Agents Break What Works
AI agents silently modify working systems to force changes through. Three real patterns and the guardrails that catch them.
The 4 Golden Signals of Monitoring Explained
Learn the 4 golden signals — latency, traffic, errors, and saturation — and how to use them for monitoring, alerting, and pre-release testing.
7 Best Service Virtualization Tools in 2026
Compare the 7 best service virtualization tools of 2026 including Speedscale, WireMock, Hoverfly, and Parasoft. Features, pros, cons, and use cases.
The Observability Gap: Why Monitoring Data Should Drive Tests
Teams spend six figures on observability but test with synthetic data. Close the gap between what you know about production and what you validate pre-release.