Francesco Marinoni Moretto
Lead AI Architect & Creator of Stream Coding Methodology
Milan, Italy
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Francesco Marinoni Moretto is a senior technology executive with over 20 years of experience. As Marketing Director & Lead AI Architect at Netinet in Milan since 2023, he develops AI-powered solutions and leads AI-assisted software development initiatives.
Francesco created two open-source frameworks addressing AI reliability: Stream Coding, a documentation-first methodology for AI-accelerated development (www.stream-coding.com) , and Clarity Gate, a pre-ingestion verification system for RAG epistemic quality (https://github.com/frmoretto/clarity-gate). Both emerge from a single thesis: "LLMs don't need help, they need clear and excellent documentation." Stream Coding is validated through git-verified production-ready systems including a complete backend built in 1.5 days after 5 weeks preparation. Clarity Gate addresses the "confident plausible falsehoods" problem in RAG systems, achieving 19-25% improvement on mid-tier models in benchmark testing.
Francesco is Practice Leader at N1AI, a 400+ member professional group, and presents regularly at Milan AI events including AI Tinkerers and Aperitivo AI. Since 2008, he has been an Italian evangelist for CiviCRM.
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Specification-Driven Development: treating AI as a production compiler
In AI-assisted development, documentation isn't overhead: it's the primary artifact. Code becomes compiled output from complete specifications.
This talk demonstrates how complete, unambiguous specifications dramatically reduce debugging time, validated through two independent systems:
Backend Case Study (5Levels):
- 7 intelligence modules implemented in 1.5-day execution phase
- 48 API endpoints, production-ready first deployment
- 5 weeks upfront: strategic thinking + documentation (4+1 weeks)
- Each module: 30 minutes average from spec to tested code
Frontend Case Study (Preflight Check - 8-hour hackathon):
- Complete React app generated in 3 minutes
- 59 UI components, 100+ files, deployed same day
- 2.5 hours compressed planning phase
You'll learn: Document Type Architecture (Structure + Purpose + Anti-patterns), the Clarity Gate verification process, why 75% complete specs produce 75% working code, and how quality gates catch issues early in the development cycle.
The 45-Second Death Spiral: How Connected AI Agents Can Ruin Real Lives
A single command like "terminate this customer" can ruin real lives within 45 seconds. This isn't theoretical: powerful Agent-to-Agent (A2A) and Model Context Protocol (MCP) interactions may trigger catastrophic cascades. Imagine: credit cards frozen, job applications blocked, insurance denied, financial blacklisting. Worse, recent Claude Opus 4 blackmail behavior (84% success rate) proves AI agents scheme beyond expectations. Learn robust safeguards using Constitutional AI and RLHF, with real-time demonstration illustrating ambiguity detection and verification loops. Based on enterprise AI deployment failures, I'll share actionable strategies to prevent unintended AI harm before regulators step in - and before it's too late.
https://www.linkedin.com/pulse/please-dont-terminate-your-customers-francesco-marinoni-moretto-2ypgf/
The Velocity Mirage: why AI tools don't accelerate projects (and what does)
Developers report feeling 20% faster with AI tools, yet METR research (July 2025) shows they're actually 19% slower. This 39-point perception gap explains why 84% AI adoption hasn't improved delivery timelines.
This talk presents Stream Coding, a documentation-first methodology validated through two git-verified production systems:
5Levels Intelligence Platform:
- 7 production-ready modules, 48 tested endpoints
- 1.5-day execution sprint following 5 weeks planning
- Traditional estimate: 4-6 weeks of coding
Preflight Check (Hackathon):
- Complete React app, 59 UI components, 8-hour hackathon
- Team of 3, 4.9 Lovable AI credits
- 3-minute generation, production-ready first deployment
- 2.5 hours upfront planning (strategy + docs combined)
You'll learn: why fast code generation doesn't equal fast projects, how complete specifications reduce debugging cycles dramatically, and quality gates that catch issues during development.
Full methodology: https://github.com/frmoretto/stream-coding
Francesco Marinoni Moretto
Lead AI Architect & Creator of Stream Coding Methodology
Milan, Italy
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