Roman Fidyk
25+ years in technology innovation. Founder and former CTO of MyFleet, a leading telematics platform. Technical Lead for GenAI at University of Newcastle. Expert in AI, Machine Learning, IoT, and Agile development.
Write Better Specs, Ship Better Code
66% of developers spend more time fixing AI-generated code than they save. The problem isn't model capability - it's vague specifications. Here's how Spec-Driven Development turns user stories into the new source code.
MCP Tools That Supercharge Vibe Coding
Prompt-only AI workflows burn tokens, hallucinate libraries, and can't touch your repo. Here's how Model Context Protocol servers cut token use by 98.7% and turn agents from passive chatbots into active engineering teammates.
You Can Make Vibe Coding Reliable & Secure
AI-assisted coding delivers 300% faster feature velocity - but nearly half of AI-generated code introduces vulnerabilities. The Inverted TDD Cycle fixes this by flipping test-driven development on its head.
How Embracing AI Can Secure Knowledge Continuity
When a veteran employee walks out the door, years of client context walks with them. A dynamic, AI-powered knowledge base ensures that institutional memory stays where it belongs - inside the company.
The Hidden Benefit of MCP: Extreme Departmental Agility
MCP eliminates integration sprawl and technical debt - but the real unlock is organisational agility: every department can adopt the best AI tool without waiting on IT, while still running on one governed knowledge base.
The Real Cost of AI at Scale
Token costs dropped 280-fold in two years - yet enterprise AI bills are hitting tens of millions. Here's why the economics of AI break at production scale, and how to fix them.
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