Garry Goldman@garrilaz

Dive2Code is an AI-assisted platform designed to facilitate the exploration of GitHub repositories. Dive2Code is an innovative AI-assisted platform tailor-made for streamlining the exploration of GitHub repositories. By leveraging the power of AutoGPT combined with the extensive reach of the GitHub API, Dive2Code provides an intuitive visual representation of the multifaceted components of a repository, encompassing classes, modules, and files. Instead of the traditional tedious manual searching, users can now interact effortlessly through a user-friendly chat interface to dive deep into specific elements of a repository. Beyond mere exploration, the principal value of Dive2Code lies in its transformative capacity. It significantly boosts developer efficiency, offering an optimized glance at codebase structures. Moreover, when organizations look to bring new developers on board, the onboarding process often presents challenges. Familiarizing oneself with a new codebase can be daunting. Dive2Code simplifies this, ensuring that new team members can quickly get up to speed, fostering a more collaborative and efficient development environment. Utilizing AutoGPT and GitHub API, the tool provides a visual representation of repository components, including classes, modules, and files. Users can interact via a chat interface to access specific elements without manual search. The primary value lies in improving developer efficiency, optimizing codebase structures, and simplifying new developer onboarding for organizations.

Nowadays, parties to various relationships in different parts of the world resort to arbitration, mediation and other alternative methods of dispute resolution (ADR). In addition to the professionalism of the chosen candidate (e.g., arbitrator, mediator), independence and impartiality remain key. In order to analyze a candidate for this criterion, legal practitioners spend hours studying social networks, publications, etc. And even that may not be enough, as a position expressed by a person on one of many social media platforms years ago may be relevant but remain unnoticed. The problem is crucial, since a decision made by a partial arbitrator can be annulled consequently. This was the situation in the landmark case of Chinese swimmer Sun Yang v. Agence Mondiale Antidopage (AMA) and Fédération Internationale Antidopage (FIA). Agence Mondiale Antidopage (AMA) and Fédération Internationale de Natation (FINA): the award was annulled by the Swiss Federal Supreme Court because of the arbitrator's use of abusive language in a tweet towards Chinese citizens. Annulment of the award or replacement and search for a new arbitrator can increase the cost and duration of dispute resolution between the parties, which is important especially in time-sensitive matters (pending athlete decisions, large expensive infrastructure projects) as well as from a financial point of view. ArbitrAI will automate the process of searching and analyzing candidate profiles, reducing the parties' costs and ensuring a fair and impartial consideration of the case. Hackathon version is built using LLM through Relevance AI [[link](https://app.relevanceai.com/form/bcbe5a/f54c8cdf-6920-4a87-9a15-c7e9da33a388)]. ArbitrAI will automate the process of searching and analyzing candidate profiles, reducing the parties' costs and ensuring a fair and impartial consideration of the case.