Current Stack
I stay hands-on to understand how modern developer tooling and AI-native workflows are accelerating product velocity. This is the stack I currently use to build and ship applications.
AI & Development
- ChatGPT / Claude — reasoning, product thinking, writing, and code generation
- Cursor — primary AI-native coding environment (fast iteration, refactors, scaffolding)
- Local models (Ollama / Qwen) — low-cost coding + background tasks
- OpenClaw agents — multi-agent workflows for building, operating, and maintaining products
- Figma — UI exploration and lightweight product design
Frontend & Platform
- Next.js (App Router) — full-stack React apps (primary framework)
- Vercel — deployment, previews, edge functions
- React Native Web — shared web/mobile architecture (in progress)
Backend & Data
- Postgres (Neon) — primary database with branching workflows
- Node.js — APIs and backend logic
- SQL (Sisense / Periscope) — analytics, product insights, data modeling
- OpenSearch — powering AI retrieval and search use cases
Infrastructure & Cloud
- Vercel — primary app hosting + frontend infra
- DigitalOcean — AI workloads, agents, and backend services
- GitHub — source control + private repos (AI-assisted workflows)
- Tailscale — secure networking across machines (agent + infra coordination)
Analytics & Iteration
- Segment — event pipeline and routing (moving toward leaner tracking)
- Statsig — experimentation (A/B/n testing, feature flags)
- Custom dashboards — product + ingestion monitoring (e.g., PixiePin)