Systems architect. Rust developer. Former portfolio CFO. Former Senior Editor at XDA.
Developers moved past what the platforms are built for. The CI systems, the review tools, the pricing models, the merge infrastructure all assume a developer writing code in an editor. That's already the minority workflow for anyone running agents seriously. Nobody's modeling the economics, building the operating frameworks, or designing the infrastructure for what's actually happening.
I build the tooling and write about the economics. Before Rust, a decade automating finance systems and ERPs in Python while running the departments that used them. I've inherited enough failed integrations and broken automation to know exactly where systems fail when nobody's watching. That's why everything here has governance built in, not bolted on.
Everything lives under EffortlessMetrics.
AI agents write code fast. Knowing whether to merge it is the bottleneck. We build governed SDLC infrastructure where author and critic agents fight over the work, every stage produces structured evidence, and the PR arrives shaped, tested, and gated before a human opens it.
Adversarial build loops. Composable CI sensors compiled into a merge surface. Code intelligence that makes codebases legible to humans and machines. Rust parsers for COBOL copybooks, Outlook PST/OST, and healthcare HL7 because every enterprise AI engagement starts with getting data out of systems built before the architect was born.
AI development economics, pricing model failures, and the operating frameworks this space doesn't have yet. effortlesssteven.com
Agentic Swarms for Developer Productivity — "Stop Babysitting LLMs, Start Shipping" The cost model, the architecture, where receipts lie. Deck and resources.
AI for Controllers: Architecting Logic, Not Just Formulas Controls-first GenAI for finance teams. PII-safe patterns, SOP generation, red-team review.
Canada