Awesome LLM for DevOps ![Awesome](https://awesome.re/badge.svg)
A list of DevOps features enabled by LLM software.
This repo is intended to be powered by the community. Feel free to pick up ideas and start a profitable business π€.
Foreword
LLMs represent a major step forward for all digital professions. Software engineering can (and must) take advantage of it to speed up its development cycles, make software more secure, and succeed in maintaining it more easily and for longer.
Features
Features are listed by category and sub-categories, along with the name of tools that meet them.
Checked titles are those where products are considered addressing the issue (at least 3 projects, including 1 product, should exist). Cited tools must be specifically trained for the category they are stated in.
- π Open source / π Closed source
- π Free / πΆ Paid / πΈ Paid 3rd party (i.e. OpenAI API)
- π Project / π¦ Product (early stage) / π Product (production-ready)
-
οΈβ£ CLI interface / π₯οΈ browser interface / π¨βπ» IDE interface
Productivity
- [x] Code & configuration suggestion or explanation (manual / chat / auto-complete)
- [ ] Code, tests & configuration writing (automatic refactoring or suggestions)
- [x] Code debugging or explanation
- [ ] Software documentation exploration (Q&A)
- [ ] Automatic MR/PR descriptions
- [ ] Issues description, summarization or completion
- [ ] DevOps AI Assistants (interact with external DevOps-related services)
Performance
- [ ] Code optimization
- [ ] Infrastructure optimization
Monitoring and security
- [ ] Code vulnerabilities finding
- [x] Code vulnerabilities explanation and refactoring suggestions
- [ ] Detect vulnerabilities and misconfiguration in running machines
- [ ] Detect vulnerabilities and misconfiguration in running webservers/APIs
- [ ] Detect vulnerabilities in files / viruses
Quality assurance (QA)
- [ ] Check code readability and typos
- [ ] Check for valid commit messages (format and relevance)
- [ ] Check for valid issues (format and relevance)
- [ ] Check for code best practices
- [ ] Check for anormal/dangerous contributions
- [ ] Recognize code license