Platform Engineering Leadership
I write about Platform Engineering Leadership, AI Platform Engineering, AWS, MLOps, SRE-grade platforms, data systems, and the boundary where models, services, infrastructure, and teams meet.
Nick Demming
Notes on platform engineering leadership, AI infrastructure, MLOps, cloud systems, data engineering, and the production boundary where models, services, infrastructure, and teams have to work together.
AWS · AI Platforms · MLOps · Terraform · Kubernetes · Data Engineering · Java · Rust · C++ · Python · Go
This is the revived demming.dev archive and the base for current professional writing. The old Hakyll blog remains preserved, and the new AI maturity package is the first current series: a platform-engineering view of agentic workflows, repository readiness, CI guardrails, and safe delegation.
The through-line is still the same: abstractions should survive contact with production. Whether the subject is Haskell, JVM services, TypeScript serverless systems, Rust components, Kubernetes, Terraform, or model deployment, the interesting work is making the system understandable, operable, and hard to misuse.
Explore the AI Platform foundation · Read the AI maturity subtrack
AWS foundations, Terraform, Kubernetes, CI/CD, runtime governance, observability, cost and security awareness, and the operational contracts that let teams build on the same substrate.
AI platform engineering, MLOps, evaluation and release gates, model-serving paths, data lineage, and feedback loops that turn useful experiments into maintainable systems.
JVM, TypeScript, Rust, C++, Python, Go, and typed functional ideas applied where interfaces, latency, correctness, and maintenance costs matter.
21 Jul 2026
A governed product experiment begins with an explicit contract and joins feature delivery, telemetry, statistical validity, rollout and rollback.
21 Jul 2026
Why an AI platform has to serve product, design, customer-facing roles and accountable experimentation—not only engineers writing code.
21 Jul 2026
A versioned working vocabulary for models, agents, tools, evidence, harnesses, authority, and the enterprise platform around them.
21 Jul 2026
Why agentic engineering needs the identity, evidence, environment, promotion, and recovery boundaries of a mature software delivery platform.
21 Jul 2026
Agentic SDD reshapes established requirements, systems, design, testing, and delivery practice for model readers and bounded executors.