This project is archived and no longer maintained. These docs stay available as a reference. The code stays available under its original license.

What I build now:

  • Kubmin — per-workload cost, efficiency, and SCI/SEI intelligence for Kubernetes
  • infai — a terminal control plane for local LLM inference: one profile shape for llama.cpp and vLLM, many models at once, live tokens/sec plus CPU/RAM/VRAM telemetry, hardware fit checks before launch
  • infaiw — a daemon-based agent harness: sessions keep running after you close the terminal, sidecar loops must pass an acceptance check before reporting back, every event lands on a durable branchable timeline, and approvals wait for you

Want to take over maintenance of kli? If you still depend on it and would like to become the maintainer, reach out on Discord or open an issue.

Contribution Guidelines for Core

How to contribute to the ksctl

Repository: ksctl/ksctl

Test out both all Unit tests

make unit_test

Test out both all integeration_test

make integration_test

Test out both unit tests and integeration tests

make test_all

for E2E tests on local

set the required token as ENV vars

For cloud provider specific e2e tests

token for Azure

export AZURE_SUBSCRIPTION_ID=""
export AZURE_TENANT_ID=""
export AZURE_CLIENT_ID=""
export AZURE_CLIENT_SECRET=""

token for AWS

export AWS_ACCESS_KEY_ID=""
export AWS_SECRET_ACCESS_KEY=""

token for Mongodb as storage

export MONGODB_SRV=<true|false> # boolean
export MONGODB_HOST=""
export MONGODB_PORT=""
export MONGODB_USER=""
export MONGODB_PASS=""

cd test/e2e

# then the syntax for running
go run . -op create -file azure/create.json

# for operations you can refer file test/e2e/consts.go

Last modified February 15, 2025: updated the remaining docs (18ec7af)