Uses
What I actually work in. Listed because the question comes up often enough, and because a tool list is an honest description of how someone spends their day.
Data engineering
- Python
- Ingestion, transformation, everything glue.
- SQL + dbt
- Models live in version control or they don't exist.
- Airflow
- Orchestration. Boring on purpose.
- PostgreSQL
- Default store until something proves it can't be.
- DuckDB
- Local analysis without standing up infrastructure first.
Platform
- Docker
- One environment, reproducible on any machine.
- Terraform
- Infrastructure that can be read in a diff.
- AWS
- Primary cloud for Weyz workloads.
- GitHub Actions
- CI, quality gates, scheduled jobs.
Desk
- MacBook Pro
- The whole studio, carried between two continents.
- VS Code
- Editor. JetBrains Mono at 13px, one theme, no ceremony.
- iTerm2 + zsh
- Where most of the work actually happens.
- Obsidian
- Essays start here as plain markdown before they are anything else.
- Figma
- Interface thinking, wallet flows, hardware placement sketches.