What is awesome-tips?

This repository is a curated list of practical advice for academic researchers, particularly those working in computer science and AI fields. Each entry in the list is a short, focused tip or guide on a specific question that researchers commonly face, such as how to make steady progress on a project, how to structure a paper introduction, how to handle rejection, or how to find a PhD advisor. The tips are organized by topic. Categories include doing research, working with mentors and advisors, writing academic papers, giving presentations, creating research posters, communicating with peers and collaborators, managing your career, staying productive, networking at conferences, and financial planning for graduate students in the United States. Some tips are written as standalone documents within the repository, while others link out to posts on Twitter or Bluesky where the author shared the advice in thread form. The content comes from a single author who works in the field of computer vision and AI research, and the advice is drawn from their own experience. It covers the full arc of an academic research career, from surviving the first year of a PhD program to preparing for faculty job applications and scheduling a dissertation defense. There is no software to install and no code to run. This repository is purely a reference collection, formatted as a list of links and short documents. It belongs to the "awesome" family of repositories on GitHub, a convention for community-maintained lists of resources on a particular topic. Anyone considering or currently in graduate school in a technical field would find this a practical starting point for common questions about the path ahead.