11 min read
Agentic Context Engineering (ACE): How AI Agents Learn From Experience
Agentic Context Engineering turns an AI agent’s context into an evolving playbook. Learn how ACE uses generation, reflection, curation, and increme...
Blog
Thoughts on AI agents, governance, and engineering
6 posts found
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,...
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...