Inspiration

The initial spark for AI Comment Assistant came from our shared passion for IT. Despite living 12,000 kilometers apart, one in Mexico and the other in a different part of the world, our enduring friendship and professional camaraderie kept our dialogues about IT technologies alive. When one of us stumbled upon an exciting hackathon by Atlassian, it presented an opportunity to collaborate and innovate together, despite the geographical distance. This served as the stepping stone for what would become a collaborative effort to create a solution that streamlines communications in project management platforms like Jira.

What it does

AI Comment Assistant is a Jira plugin designed to transform discussions into insightful summaries and quick replies. By harnessing the power of GPT, it analyzes comments on Jira issues and generates concise summaries, facilitating more efficient communications among project teams.

How we built it

We divided the work based on our expertise - with one of us handling the backend, written in Python, and integrating GPT, while the other took charge of the UI and frontend development. A significant accomplishment was the creation of efficient and reliable backend code for interacting with the GPT API. This code was a product of a deep understanding of programming principles and excellent teamwork. Over the span of two weeks leading up to the hackathon deadline, we developed the plugin from scratch, conceptualized the idea, designed the user interface, wrote the backend and frontend code, and deployed it on a server. Our complementary skills enabled us to create a well-rounded solution.

Challenges we ran into

The significant time zone difference posed a challenge as we coordinated late-night calls to sync up on the development progress. Finding effective and user-friendly approaches to interact with GPT prompts and ensuring a seamless user experience demanded a fair share of research and iterations.

Accomplishments that we're proud of

The creation of a functional, user-friendly plugin from scratch within a tight timeframe is a testament to our teamwork and skill. We are particularly proud of how AI Comment Assistant can genuinely enhance communications in project settings, bridging gaps, and fostering better understanding among team members. The backend code we developed, which effectively interacts with the GPT API and processes data for generating summaries and quick replies, is the heart of the plugin. This code demonstrates how we were able to transform complex technical challenges into elegant solutions.

What we learned

This project underscored the value of collaboration, the potential of combining different skill sets, and the importance of user-centric design in developing solutions that address real-world needs. Thorough testing of the application allowed us to see the value and utility of our creation in real working projects. We were very pleased with the results and see great potential in integrating the plugin into working projects to improve communication and team collaboration efficiency. It also provided a deeper understanding of GPT's capabilities and how to harness it effectively within a plugin environment.

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