Beyond AI Vibes: Deterministic Foundations for Agentic Coding
AI coding adoption is high and trust is dropping. A testing pyramid for agents, plus reproducible production context that grounds AI in real behavior.
Speedscale Blog
Latest insights on API testing, performance optimization, and software development best practices from the Speedscale team.
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.
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.