AI-assisted engineering
Coding-agent evaluation, realistic development environments, acceptance criteria, automated testing, and workflows that make agent output safer and more useful.
DISCLAIMER: Below is AI-generated content. TODO: update with real content. This is a placeholder for now.
Full stack · platforms · AI agents
Mills McIlroy
I build full-stack products and developer systems with a focus on reliable architecture, thoughtful automation, and software that stays maintainable as it scales.
About
My work spans modern product frontends, backend services, data systems, cloud infrastructure, and engineering tools. I enjoy the places where product decisions and system design meet.
I am especially interested in practical agentic development: giving coding agents the right context, defining strong evaluation criteria, and reviewing generated solutions for correctness, security, performance, and long-term maintainability.
Outside of AI-assisted engineering, I build APIs and distributed workflows, modernize aging systems, and create interfaces that make complex behavior feel straightforward.
Areas of Focus
Product engineering
End-to-end web products built with React, Next.js, TypeScript, Node.js, and Python, from product decisions through production delivery.
Platform architecture
APIs, service boundaries, event-driven workflows, data systems, and cloud infrastructure designed for reliability, security, and maintainability.
Technical Skills
Languages & UI
TypeScript, JavaScript, Python, Go, Java, Rust, Solidity, React, Next.js, Vue.js
Services & Data
Node.js, FastAPI, REST, GraphQL, microservices, PostgreSQL, Redis, Kafka, RabbitMQ
AI Engineering
Coding agents, evaluation design, benchmark environments, acceptance criteria, prompt workflows, generated-code review
Cloud & Delivery
AWS, Docker, Kubernetes, CI/CD, automated testing, observability, incident response
Architecture
Distributed systems, event-driven workflows, API design, data modeling, legacy modernization, Strangler Fig migrations
Engineering Practice
System design, technical direction, code review, security, performance, documentation, mentoring
How I Work
- Use AI tools to accelerate judgment, not replace it
- Prefer explicit service boundaries and observable failure modes
- Treat security, testing, and operational readiness as design inputs
- Modernize incrementally so systems can keep shipping while they evolve
- Write software that the next engineer can understand and extend
Profiles
Contact
Interested in building a product, platform, or better engineering workflow together?
millsmcilroy@gmail.com