Jay Blanchard

Technology Leader | Platform Engineering | Developer Experience | AI Enablement

Helping organizations reduce friction between ideas and production.

I help people get from where they are to where they want to be with less friction.

Whether the challenge is platform modernization, cloud migration, developer productivity, delivery reliability, or practical AI adoption, I focus on creating the systems, standards, and shared understanding that help teams move forward with confidence.

Part technologist, part teacher, part translator, I work at the intersection of engineering, enablement, and leadership—helping organizations build stronger platforms, healthier delivery systems, and more capable teams.

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Conversations With Myself

Always dream and shoot higher than you know you can do. Do not bother just to be better than your contemporaries or predecessors. Try to be better than yourself. William Faulkner

Faulkner's quote has been on my mind quite a bit lately because one of my goals is always to improve myself a little each day. I pay attention to my contemporaries and predecessors not because I want to be better than them, but because I want to learn from them. The only measuring stick that you should have for yourself is yourself.

Be awesome.

Blog

New articles

Fresh writing on practical AI adoption, engineering leadership, and the real work of making technology useful.

Current focus

Modern engineering enablement without the theater.

Good platforms reduce friction. Good DevOps leadership creates feedback loops. Good AI adoption solves real workflow problems instead of chasing novelty.

Platform Engineering

Designing internal platforms, delivery paths, standards, and self-service workflows that help teams ship with confidence.

DevOps Leadership

Improving CI/CD, release practices, incident readiness, observability, and the human systems around reliable delivery.

Developer Enablement

Reducing cognitive load through documentation, tooling, automation, paved roads, and practical coaching for engineering teams.

Practical AI Adoption

Finding grounded uses for AI in engineering workflows: code review support, automation, knowledge retrieval, and safer experimentation.

How I work

Technical maturity, explained plainly.

I like clear systems, useful automation, and teams that understand why the process exists. My work is usually a mix of hands-on engineering, leadership, mentoring, and translating technical tradeoffs into decisions people can act on.

  • Reduce friction: make the common path obvious, documented, and repeatable.
  • Keep operations visible: use telemetry, runbooks, and feedback to improve the system.
  • Adopt AI responsibly: start with real work, useful guardrails, and measurable outcomes.
  • Teach as you build: leave people with more capability than they had before.

Technical archive

Older engineering articles

Preserved tutorials and technical writing from earlier eras of web development. Some examples reflect the tools and practices of their time.

Hobby notes

Projects outside the day job

Model builds, workshop notes, photography, and other personal projects live here apart from the professional and technical writing.

Contact

Need a steadier path from idea to production?

Reach out if you are trying to make delivery smoother, give developers better tools, or turn AI from an experiment into something your team can use responsibly. I am always glad to talk through the shape of the problem and where I can help.

Reach out on LinkedIn