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.
Posts by Ken Ahrens
Co-founder and CEO of Speedscale, passionate about performance engineering. • 9 posts published
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.
Spring Boot API Testing: A Practical Guide for Enterprise Teams
Enterprise Spring Boot APIs need more than unit tests. Learn how to test external service integrations, JWT auth, production edge cases with real traffic.
Runtime Validation vs Static Analysis: Why You Need Both
Static analysis catches code smells. Runtime validation catches behavioral failures. Enterprise teams adopting AI coding tools need both to ship safely.
Silent Failures: Why AI Code Breaks in Production
AI-generated code compiles clean but breaks in production. Learn why static analysis misses behavioral failures and how runtime validation catches them.
What AI Has Never Seen: The Context Gap in Code Generation
AI coding tools generate code from docs and examples—but they've never seen your production traffic. Here's what breaks AI-generated code.
ROI of Digital Twin Testing: Cut Testing Costs by 50%
Non-production environments cost 20-40% of cloud bills. Digital twin testing delivers 9x ROI through infrastructure, incident, and efficiency savings.
Kubernetes Load Testing Made Easy with Speedscale
See how to get visibility into your Kubernetes workloads and run realistic load tests without writing YAML files or kubectl commands.
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