Tools
53 tools · 7 areasTech Stack
The tools I actually use day to day. Not everything I have touched, just what I keep coming back to. Picked for the problem, not the hype.
Languages
9λ reach for daily
- Python
- Golang
- Java
- JavaScript
- TypeScript
- PHP
- Bash
- SQL
- Rust
Data & Streaming
11⇄ move data around
- Spark
- Kafka
- Airflow
- BigQuery
- Redshift
- MaxCompute
- Jupyter
- Dataflow
- Apache Beam
- Pub/Sub
- Debezium
Databases
5⊞ store things
- PostgreSQL
- MySQL
- MongoDB
- SQLite
- Redis
Cloud
4☁ run things on
- AWS
- GCP
- Alibaba Cloud
- Cloudflare
Web & Frameworks
6⟨/⟩ build with
- Django
- Flask
- Astro
- FastAPI
- Hono
- Gin
DevOps
9⚙ ship with
- Docker
- Kubernetes
- Terraform
- Nginx
- Caddy
- Github
- GitLab
- Linux
- Ansible
AI
9◎ augment with
- Claude
- OpenAI
- LMStudio
- OpenClaw
- MiniMax
- Mimo
- Qwen
- Antigravity
- Gemini
How I pick these
If I can ship it in a week, I use it. If it has bad docs, I drop it. I am not married to any ecosystem. I started on Django, moved to Go, and now write more Python than anything else because Spark and BigQuery speak Python fluently.
I pick tools that let me think about the problem, not the tool. PostgreSQL over everything unless the data is genuinely too big. Airflow over Prefect because I know its failure modes. GCP over AWS because BigQuery is the best data warehouse I have used, full stop.