Agile is dead. AI is the culprit.
Discover why AI coding agents are breaking Agile workflows and driving the shift to an intent-based AI Software Factory.
Posts about devops
Browse 34 posts in this category
How a Marketing Intern Ended Up Running Claude in a Terminal
A marketing intern's journey from CMS drag-and-drop to running Claude in a terminal, and why validation still matters as AI speeds up development.
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.
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.
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.