(based on https://www.vaultproject.io/intro/index.html)
First, build and install the vault snap:
- git clone https://github.com/elopio/vault
- cd vault
- git checkout snapcraft
- sudo apt install snapcraft
- snapcraft
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| curl https://raw.github.com/gist/3342482/57d1f618104185aa89044f934c4f86cb74e11553/rbenv-openshift.sh | bash |
| #!/bin/bash | |
| # This is a simple build script and will be executed on your CI system if | |
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(based on https://www.vaultproject.io/intro/index.html)
First, build and install the vault snap:
First, you have to enable profiling
> db.setProfilingLevel(1)
Now let it run for a while. It collects the slow queries ( > 100ms) into a capped collections, so queries go in and if it's full, old queries go out, so don't be surprised that it's a moving target...
A running example of the code from:
This gist creates a working example from blog post, and a alternate example using simple worker pool.
TLDR: if you want simple and controlled concurrency use a worker pool.
This repository contains a disciplined, evidence-first prompting framework designed to elevate an Agentic AI from a simple command executor to an Autonomous Principal Engineer.
The philosophy is simple: Autonomy through discipline. Trust through verification.
This framework is not just a collection of prompts; it is a complete operational system for managing AI agents. It enforces a rigorous workflow of reconnaissance, planning, safe execution, and self-improvement, ensuring every action the agent takes is deliberate, verifiable, and aligned with senior engineering best practices.
I also have Claude Code prompting for your reference: https://gist.github.com/aashari/1c38e8c7766b5ba81c3a0d4d124a2f58