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,...
Senior Full-Stack Developer | AI Engineer | Freelance Consultant
I design and ship reliable AI, cloud, and full-stack platforms for ambitious teams. 10+ years turning complex systems into products that scale.
Building and deploying production AI agents and multi-agent systems. Exploring agentic architectures for real-world automation.
Designing scalable cloud-native applications on GCP and AWS. Migrating infrastructure, optimizing performance, and ensuring high availability.
Crafting modern applications with TypeScript, Node.js, NestJS, Angular, React, and Svelte. 10+ years shipping products at scale.
Loop engineering is the discipline of designing the feedback cycles that make AI agents reliable: context, tools, checks, memory, retries, budgets,...
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.
A practical blueprint for seeing what your deployed platform is doing with Sentry, OpenTelemetry, Prometheus, Grafana, Loki, ELK, and Terraform.