HashiCorp Vault (and other enterprise-grade managers) are incredibly powerful — but also heavy. For many AI/ML projects I’ve seen, people don’t need the full ecosystem: they just want to stop hardcoding API keys in .env files and have an easy way to rotate/retrieve them.
Vault-AI is aimed at that use case:
Lightweight & fast to start → git clone → ./start.sh gets you running in 2 minutes with Docker + Postgres.
AI-first focus → tenants + token-based auth designed for AI agents, LLM apps, RAG pipelines.
Simple CLI → no steep learning curve; just vault-ai store/get/rotate/audit.
Self-contained → no external cloud dependencies, runs locally or on your infra.
If you’re running a large enterprise with complex RBAC, PKI, dynamic secrets → HashiCorp Vault is the gold standard.
If you’re building AI apps and just need a safe, self-hosted digital safe for API keys, tokens, and secrets, Vault-AI is a quicker fit.
Tried setting up a Bluesky PDS for myself and noticed there's practically no docs/examples for setting it up with S3 (in my case, Minio), so took a crack at walking through the process! Hopefully someone finds it helpful :)
The dopamine hits from updating stuff should come to an end, it should be thought of as adding potentially new bugs or exploits, unless the update fixes a CVE. Also Github needs to remove the green colors and checkmarks in PR's to prevent these dopamine traps from overriding any critical thinking
Counterpoint: if you wait to keep things up to date until there's a CVE, there's a higher likelihood that things will break doing such a massive upgrade, and this may slow down a very time-sensitive CVE response. Allowing people to feel rewarded for keeping things up to date is not inherently a bad thing. As with all things, the balance point will vary from project to project!
Exactly. You don’t want to be bleeding edge (churn, bugs) but in general you usually don’t want to be on the oldest supported version either (let alone unsupported).
Risk/reward depends on the usecase of course. For a startup I’d be on the .1 version of the newest major version (never .0) if there are new features I want. For enterprise, probably the oldest LTS I can get away with.
I strongly disagree. If you don’t update your dependencies then it’s easy to lose the institutional knowledge of how to update them, and who actually owns that obscure area of your code base that depends on them. Then you get a real CVE and have to work out everything in a hurry.
If you have a large code base and organisation then keep doing those upgrades so it won’t be a problem when it really matters. If it’s painful, or touches too many areas of the code you’ll be forced to refactor things so that ceases to be a problem, and you might even manage to contain things so well that you can swap implementations relatively easily when needed.
To be honest, I probably wouldn't have noticed the comments on the PR if it wasn't for that since my Github notifications are an absolute mess. Thankfully, my employer has been super supportive throughout this :D
