Jason Fleetwood-Boldt is a software engineer and agentic engineer based in New York City. He has spent two decades helping startups and tech ventures ship product, working across Rails, React, TypeScript, GraphQL, NestJS, and the kind of infrastructure questions that quietly decide whether a company survives its second year.
In January 2026, Jason made a deliberate pivot into agentic engineering — not as a trend but as a thesis. The job has fundamentally shifted from syntax to structure. AI handles the typing now. What it cannot do is hold a system in its head, anticipate how an architectural choice plays out in 3, 6, or 12 months, or recognize the patterns that quietly destroy companies. That kind of judgment is what Jason brings to the table.
He runs Helios Dev Shop as Founder and Principal Engineer, working with clients on agentic CRM, self-enriching data pipelines, and AI-native tooling for non-developer operators. He is also co-founder and CTO of Version Lab, an email segmentation platform.
Jason’s thesis on software in the age of AI:
“Code quality” was always a proxy. The thing that matters is architectural quality — whether the seams are in the right place, whether the data model survives the fifth feature, whether the security model assumes the right adversary. AI now produces code that is lint-clean, idiomatic, and architecturally catastrophic. The proxy and the thing being measured have finally divorced.
The work that’s left is the work that was always the actual job: structure, judgment, and the kind of intuition that only compounds with time on call.
Sane defaults Jason still believes in:
Automated testing remains foundational, not optional. Tests are a domain design exercise first and a regression catch secondarily. Hermetic, targeted, expressive. Factories over fixtures. CI on every commit and every PR. Use TDD to expose complected code and de-complect as you refactor. Get rid of flakes and brittleness; do not tolerate them. These principles do not get less important in the age of AI — they get more important, because AI can now produce a great deal of code very quickly, and tests are the structural argument about whether that code actually means what it appears to mean.
Other things worth knowing:
Jason coaches small businesses and entrepreneurs in SEO and social media marketing and is a SEMrush-certified SEO specialist. His open-source Rails engines have been used by companies across the world. You can find his course material and writing about Rails, React, JavaScript, TypeScript, iOS development, TDD, automated testing, and now agentic engineering throughout this site.
Jason is an evangelist for returning the craft of software to its core elements: being engaged, showing up, doing the work, keeping the ego in check, and staying committed to sane defaults — including the one most teams have stopped asking about, which is what are we actually building, and will it hold up?