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.
Latest insights on Agentic AI workflows, cloud native architectures, and performance optimization best practices from the Speedscale team.
AI agents silently modify working systems to force changes through. Three real patterns and the guardrails that catch them.
Learn the 4 golden signals — latency, traffic, errors, and saturation — and how to use them for monitoring, alerting, and pre-release testing.
Compare the 7 best service virtualization tools of 2026 including Speedscale, WireMock, Hoverfly, and Parasoft. Features, pros, cons, and use cases.
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.
What is API traffic replay testing? Capture, sanitize, and replay production traffic. Compare GoReplay vs WireMock vs Speedscale vs proxymock.
RBAC and DLP let developers access production data safely—without configuration drift or PII exposure. Here's how to design it right.
Record real LLM traffic from a FastAPI app, mock it locally, and replay it in CI with proxymock.
Production AI spend gets attention. Non-prod LLM calls in development, CI, and load tests often do not. Simulation fixes that.
AI-generated code is moving fast—but without behavioral validation, you're gambling with production stability. See how Proxymock changes the equation.
Fast mode or deep mode? Haiku or Opus? Cursor or Claude Code? The decision fatigue from AI coding tools is killing the productivity they promised.