This repository provides a curated list of individuals offering free "coffee chats" for mentorship and career advice, primarily targeting software engineers and tech professionals. It serves as a community-driven platform to connect people seeking guidance with experienced professionals willing to share their knowledge.

How It Works

The project is a simple, community-maintained Markdown table listing individuals, their professional backgrounds, contact URLs, and areas of expertise. Users can contribute by adding themselves to the list via a pull request, following the guidelines in CONTRIBUTING.md. The advantage of this approach is its low barrier to entry and ease of maintenance, relying on the open-source community to keep the information current.

Quick Start & Requirements

No installation or specific requirements are needed to view the list. Access is directly through the GitHub repository's README file.

Highlighted Details

• Broad Expertise: Covers a wide range of topics including AI/ML, cloud-native technologies, DevOps, frontend/backend development, career transitions, job searching, and soft skills.
• Global Reach: Features professionals from various countries, offering insights into different tech markets and work cultures.
• Community Driven: Relies on contributions from individuals to maintain and expand the list of mentors.
• Mentorship Focus: Primarily aimed at facilitating informal mentorship and knowledge sharing within the tech community.

Maintenance & Community

The list is maintained through community contributions via GitHub pull requests. The project acknowledges Julien Lengrand-Lambert as the originator of the coffee chat resource list idea.

Licensing & Compatibility

The repository's content is presented without an explicit license mentioned in the README. This may imply a default GitHub terms of service usage or a lack of formal licensing for the data itself.

Limitations & Caveats

The README explicitly states that inclusion on the list does not guarantee coffee chats will be scheduled, and individuals are encouraged to promote their availability within their own networks. The lack of a formal license for the data could pose compatibility issues for commercial reuse or integration into other platforms.