AI Agents and Founder-Led Software
I work as a technical co-founder and CTO for operator and non-technical founders building from idea to investor-ready momentum.
First time here? Read about me.
Recent Posts
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The Solana Speed Window: Build Before Alpenglow
Published: Aug 9, 2026Budva, MontenegroWhere I would invest a $100K to $1M product budget on Solana before its Alpenglow upgrade.
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Stake to Compute
Published: Aug 4, 2026Updated: Aug 4, 2026Budva, MontenegroWhen an AI agent can fund its own compute by staking SOL, when does it stop needing its creator?
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Fuzz Testing
Published: Aug 2, 2026Updated: Aug 2, 2026Budva, MontenegroI use fuzz testing to find faults in the logic I own, then use simulation to make failures in the wider system reproducible.
Recent Deep Posts
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Solana Tokens: How I Would Deploy a $100K Product Budget
Published: Aug 11, 2026Budva, MontenegroA founder's practical guide to choosing between Solana token accounts, Token-2022, Token Metadata, Metaplex Core, and Bubblegum v2 when $100K is the entire product or protocol launch budget.
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Kiro Agents: Spec-Driven Development Meets AI Automation
Published: Jul 28, 2025Toronto, CanadaA comprehensive analysis of Kiro's pioneering approach to AI-assisted development. We examine how Kiro's spec-driven architecture bridges the gap between 'vibe coding' and production-ready systems through its innovative use of requirements artifacts, event-driven hooks, and task orchestration. This deep dive explores whether Kiro represents the future of enterprise AI development or another iteration in the evolving landscape of coding assistants.
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Claude Code Agents: A Terminal-First Approach to AI Agents
Published: Jul 23, 2025Punta Cana, Dominican RepublicA deep dive into Anthropic's Claude Code. We analyze why this terminal-first agent represents a pivotal moment in AI, deconstructing its technical architecture (like MCP and Hooks), its superior reliability in the face of the "98% problem," and the security risks that come with its power. This isn't just a new tool; it's a new philosophy for building robust and transparent AI.