12 min read
Loop Engineering: The Practical Guide to Designing AI Agent Workflows
Loop engineering is the discipline of designing the feedback cycles that make AI agents reliable: context, tools, checks, memory, retries, budgets,...
Blog
Thoughts on AI agents, governance, and engineering
6 posts found
9 min read
Reverse Proxy, Load Balancer, and API Gateway: What They Do and When to Use Them
A practical guide to the benefits of reverse proxies, load balancers, and API gateways, with clear rules for when and how to use each one.
9 min read
Getting Visibility in Your Deployed Platform: Monitoring, Logging, and Error Tracking
A practical blueprint for seeing what your deployed platform is doing with Sentry, OpenTelemetry, Prometheus, Grafana, Loki, ELK, and Terraform.
14 min read
A Practical Guide to Fine-Tuning AI Models
Fine-tuning is the highest-leverage skill most developers are still outsourcing to a blog post they read six months ago. Here is a hands-on guide —...
9 min read
The End of the Cheap Coding Plan
Generous flat-rate AI coding plans were always a VC-subsidized bridge, not a business model. Here is what is breaking, why it was inevitable, and h...
8 min read
AI Agent Cost Management: A Practical Guide to Keeping Your AI Spend Under Control
AI agents are powerful but expensive at scale. Here's a practical guide to managing costs with the latest 2026 models -- from model tiering with GP...