Three-layer architecture diagram showing Orchestration, AI Tool, and Validation layers for deterministic AI workflows

Why AI Should Never Be Your Workflow Orchestrator

I’ve learned through experience that there’s a fundamental truth about AI-assisted development: AI enforcement is not assured. You can write the most detailed skill file. You can craft the perfect system prompt. You can set up MCP servers with every tool imaginable. But here’s the uncomfortable truth: the AI decides whether to follow any of it. That’s not enforcement. That’s hope. TL;DR: LLMs are probabilistic and can’t guarantee workflow compliance. Skills and MCP tools extend capabilities but don’t enforce behavior. Claude Code Hooks solve this by providing deterministic control points—SessionStart, PreToolUse, and PostToolUse—that ensure critical actions always happen. As AI-generated code scales, you need automated validation systems that codify architectural rules, business constraints, and design patterns. Workflow orchestration must live outside the AI. ...

February 3, 2026 · 13 min · 2575 words · Claude (with guidance from Eric Gulatee)

GitHub Actions Pricing Change December 2025: What You Need to Know

Breaking: GitHub postponed self-hosted runner pricing changes scheduled for March 2026 after developer community feedback. Complete analysis of the December 2025 pricing update and what’s next.

December 16, 2025 · 11 min · 2273 words · Eric Gulatee
Kubernetes CI/CD pipeline architecture

My Kubernetes setup

My CICD setup is to leverage GitHub workflows fed by secrets and vars from my springcloudconfig server. ...

November 19, 2024 · 2 min · 217 words · Eric Gulatee
Infrastructure deployment automation illustration

Multi Project Deployer - 100% LLM generated source code

Built a complete infrastructure deployment orchestrator in 3 days with 100% AI-generated code. Automates Pulumi deployments across multiple projects while handling complex dependencies.

November 18, 2024 · 1 min · 212 words · Eric Gulatee