AI
Practical looks at applying AI and machine learning inside engineering systems — from developer tooling to production inference — with an emphasis on what actually holds up outside a demo.
4 articles
Day 48: Smarter Platforms. Autonomous Actions. Exceptional Developer Experience.
Day 44 covered what AI agents do. Today is what a platform team needs to build to work with them well — the specific skills, the human-agent partnership model, and the trust that has to be earned before agents get real autonomy.
September 2, 2026 5 min read
Day 44: AI Agents Don't Replace Engineers. They Multiply Them.
An AI agent that can perceive, decide, and act through the platform API needs the exact same identity discipline as any human — which is precisely why yesterday's secrets and identity article had to come first.
August 29, 2026 5 min read
Day 35: An AI Without Context Is Just a Chatbot. MCP Is the USB-C for Fixing That.
AI-SRE and AI-powered platform engineering both assumed an AI system could see real infrastructure state. The Model Context Protocol is the actual standard that makes that connection possible instead of hand-waved.
August 20, 2026 4 min read
Day 33: AI Isn't Replacing Platform Engineers. It's Levelling Up the Platform.
The observability data this series covered yesterday is exactly what makes AI-powered platform engineering possible — anomaly detection, automated root cause analysis, and remediation built on telemetry the platform already collects.
August 18, 2026 5 min read