Post 01
Running Firecracker securely
Using the jailer, namespaces and cleanup to run Firecracker safely in production
Personal Logbook of interesting ideas
This is primarily a writing home now: essays, implementation notes, and sharper takes on what feels durable in the current AI wave.
Fig. 1 - Latest Writing
Post 02
Setting up networking for your VMs
Giving your Firecracker VMs internet access
Post 03
Optimizing for performance
Optimizing Firecracker to run many VMs on the same machine
Post 04
Running a basic VM in Firecracker
The first step towards microVMs
Post 05
A gentle introduction to Firecracker
What is Firecracker and when should I use it ?
Fig. 2 - Projects In Support Of The Writing
Project 01
Flint
Firecracker VM management tool with a Python SDK, daemon API, benchmarks, and optional TUI.
Project 02
Opik Chat History
Extension to log your vibecoding sessions to Opik and make LLM work easier to inspect.
Project 03
AI SDK (archived)
Python port of the Vercel AI SDK with a single interface for multiple model providers. Archived: use Vercel's official AI SDK for Python instead.