Skip to content

raifdmueller/practical-llm-field-notes

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

99 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Practical LLM Field Notes for Software Engineering & Architecture

A structured collection of practical experiences with Large Language Models in software development, architecture, and engineering contexts - from the trenches of real-world development teams.

🎯 Target Audience

This repository is specifically focused on software engineering and architecture applications of LLMs:

  • Software Developers & Engineers - Code generation, debugging, testing, refactoring
  • Software Architects & System Designers - Architecture decisions, system design, technical documentation
  • Development Team Leads - Code review automation, team productivity, workflow optimization
  • Engineering Managers - Development process improvement, technical decision support
  • DevOps Engineers - Infrastructure as Code, CI/CD automation, system monitoring

Note: While LLMs have broad applications across many domains, this collection focuses exclusively on their use in software engineering and architecture contexts. For general business applications, marketing, or other domains, please refer to other specialized resources.

🎯 Field Notes Sections

Success stories and proven practices where LLMs consistently deliver value.

Current limitations that might improve with future developments.

Fundamental limitations to be aware of and work around.

Practical techniques for maximizing LLM effectiveness.

Structured workflow patterns: Basic | Production | Advanced Proven workflow patterns and integration approaches.

Common mistakes and hard-won insights.

Real-world applications: Development | Architecture | Enterprise Real-world applications in software engineering contexts.

Methods for evaluating and improving LLM outputs.

Particularly insightful, surprising, or educational interactions.


🚀 Quick Start

New to LLMs? Start with What Works Well and Tips & Tricks.

Software Architect/Developer? Check out Use Cases in Software Architecture & Development and Workflows. (This is our core focus!)

Experienced user? Check out Interesting Sessions for real-world examples.

Having problems? Look at Pitfalls & Lessons Learned and What Doesn't Work.


💬 Community

Join the conversation! Share experiences, ask questions, and connect with other practitioners:

  • 💡 Ideas - Brainstorm improvements and new content
  • Q&A - Ask questions about LLM experiences
  • 🎯 Show and Tell - Share your discoveries
  • 🗣️ General - Open discussions about LLMs

Browse All Discussions →


🤝 Contributing

This is a community-driven collection! Your real-world experiences make this resource valuable.

How to contribute:

  1. Join Discussions for questions and ideas
  2. Read our Contributing Guidelines
  3. Choose the appropriate section for your experience
  4. Follow the format: Context → Experience → Learnings
  5. Submit a pull request

What we're looking for:

  • Specific, actionable examples
  • Both successes and failures
  • Practical insights others can apply
  • Anonymous case studies and workflows

📄 License

This repository is licensed under Creative Commons Attribution-ShareAlike 4.0 International License - knowledge should be freely shared and improved upon.


🏷️ Tags

#SoftwareEngineering #SoftwareArchitecture #LLM #CodeGeneration #APIs #Testing #Refactoring #DevOps #TechnicalDocumentation #CodeReview #ArchitectureDecisions #SoftwareDevelopment

About

A structured collection of practical experiences with Large Language Models and Generative AI

Resources

License

Contributing

Stars

Watchers

Forks

Releases

No releases published

Packages

 
 
 

Contributors