AI-native delivery
Specifications as execution interfaces, parallel agent work, review constraints and the human ownership that production systems still require.
Writing
Field notes and essays about building technology organizations and consumer platforms—written from the decisions, constraints and consequences of operating them.
Purpose
Writing from operating experience
This is where I make the reasoning behind the work explicit: how AI changes the shape of engineering, why some business capabilities deserve to be built, and what it takes to modernize a platform while customers are still using it.
I am interested in specific choices and falsifiable claims. The useful material is not that a technology is transformative; it is where the bottleneck moves, which control becomes more important and what a leader should do differently on Monday morning.
Themes
What I write about
Platforms and modernization
Strangler migrations, data foundations, native products and the organizational sequencing needed to replace critical systems safely.
Product and operating leverage
Build-versus-buy decisions, internal SaaS, e-commerce infrastructure and the product capabilities that define a company’s economics and customer experience.
Archive
Essays, field notes and publications
2026Notes on the AI-native engineering organizationciprianspiridon.comWhat changes when agent-authored, human-reviewed work reaches 40% of production pull requests: specifications become interfaces, review becomes capacity and accountability stays human.Essay2026Orchestrating AI agents: a new skill set for developersLinkedInA 30-day field test in parallel agent execution—and why decomposition, orchestration and engineering judgment now matter more than typing speed.Field note
2008Innovative solutions for developing functional models with application to SIMSPACE training simulatorRomaniaAn early technical publication on functional modelling for the SIMSPACE training simulator, published in Romania.Publication
Conversation
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I welcome thoughtful conversations about AI-native organizations, platform strategy and technology or product leadership.