Mastering LLM Effectiveness in Development
Core principles for harnessing LLM (AI) in development effectively
Senior Engineering Leader · Vancouver
15+ years in engineering. I diagnose organizational bottlenecks, decentralize decision-making, and drive AI-first development. Experimenting and shipping side projects is my hobby — it keeps me close to engineering reality and helps me evaluate emerging tech.
AI agent for teams
Sidecar browser to open websites in a single view with different profiles
Generate a photo for documents based on a selfie
Lightweight PaaS with a catalog of open-source apps with 1-click install
Personal and family finance management with multi-currency, joint accounts and budgets
Multi-platform dictation tool with built-in translation
Sync AI rules, guidelines, and ignore files between agents
Auto-bookmarks posts on X that match your interests, so you can skip the scroll
Core principles for harnessing LLM (AI) in development effectively
How I Reevaluated my chosen tech stack after three years of supporting my open-source application
Liltag is a straightforward JavaScript tag manager that lets you dynamically load scripts on your website. With just 250 lines of code, Liltag uses a JSON configuration to manage tags, operates without cookies, doesn’t track your users, and is GDPR compliant.
In my free time away from managerial work, I enjoy working on small development projects, however, like many other developers, I face two main constraints: motivation and free…