Found 12 repositories(showing 12)
keploy
A curated collection of AI prompts for software engineers — organized by domain (DevOps, Backend, Frontend, Testing, etc.). Use them with ChatGPT or local LLMs to automate tasks, debug faster, generate tests, write docs, and ship better code. Perfect for engineers building with AI, not against it.
schoolofdevops
ChatGPT Prompts for Devops Mastery
collabnix
ChatGPT Prompts curated by Collabnix Community
ahmadsheikhi89
This repository contains 12 high-quality AI prompts tailored for DevOps engineers who want to automate and improve infrastructure documentation using tools like ChatGPT, Claude, or open-source LLMs. All prompts are production-tested and designed by a virtual AI assistant acting as a DevOps engineer with 10+ years of experience.
bittush8789
ChatGPT Prompts for Devops Mastery
hungrydevops
📚 collection of ChatGPT prompts for Devops, SRE and Platform Engineers!
sdbjakeer
No description available
VarunTej06
This will have all the ChatGPT prompts to master DevOps
alterwriter
This is for your FAQS about DevOps, DevSecOps, Cyber Security, and Prompt Engineering (ChatGPT)
ngocnguyenthework
Essential AI prompt templates for software engineers. Includes prompts for coding, debugging, refactoring, API design, architecture decisions, DevOps, CI/CD, testing, documentation, performance tuning, and secure development. Designed for ChatGPT, Claude, Copilot Chat, and all AI coding assistants.
techarkit
📚 A curated collection of AI prompts for ChatGPT, Claude, Gemini, and other LLMs. Organised by category (productivity, coding, DevOps, storage, AWS, leadership, resume writing, etc.) to make them easy to reuse, adapt, and share. Perfect for automation, knowledge sharing, and building your own prompt library.
TNDS-Command-Center
A provider-agnostic framework for coordinating 2-3 AI agents (Claude, ChatGPT, Ollama, or any LLM) working on the same codebase simultaneously. Each agent owns a track (frontend, backend, devops), follows structured task prompts, and coordinates through a shared log — no merge conflicts, no duplicated work, no silent assumptions.
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