Hackathons Should be A Nationwide Movement, Not Just the Domain of Developers: Reflections on A New Paradigm for Hackathons in the AI Era


<aside> 💡 Web3 is booming, and Arweave is becoming a popular infrastructure choice for developers. PermaDAO is a community where everyone can contribute to the Arweave ecosystem. It's a place to propose and tackle tasks related to Arweave, with the support and feedback of the entire community. Join PermaDAO and help shape Web3!


Author:Marshal Orange @ Contributor of PermaDAO

Translator:少华 王 @ Contributor of PermaDAO

Reviewer: Saiee @ Contributor of PermaDAO

Hackathons Should be A Nationwide Movement, Not Just the Domain of Developers: Reflections on A New Paradigm for Hackathons in the AI Era

In this era of "everyone is a product manager," everyone has endless inspiration and creativity. However, they are often limited by any threshold in the technical or product implementation path, which leads to a lack of the ability and courage to participate. This is also the situation I inquired about and learned from many people in Arweave's PermaDAO during their hackathon. But a hackathon is not the exclusive domain of a few; it is a nationwide event.

I believe that the process of a hackathon competition is more like a User-Generated Content (UGC) activity centered around technology and innovation. The participants in the competition are clearly "content creators" for the blockchain ecosystem. So, we can break down the complete workflow of hackathon projects into five stages that developers are familiar with:

The real challenge lies in how to reduce the barriers that participants face in these five stages of product development. Humans can leverage AI as a productivity tool to participate in this nationwide event by integrating the existing UGC elements of the hackathon. This enables every creative idea to be maximized, just as EverID abstracts accounts to reduce the barriers for users to use Web3 wallets. Clearly, these efforts to reduce barriers can greatly propel the development of the blockchain industry.

  1. Problem Definition and Planning Phase: Using data from ecological user feedback, AI large models can be employed to generate issues that are currently receiving attention or have market pain points, which are more valuable and meaningful for the ecosystem. Adot uses AI to generate sentiment analysis labels for each parsed top DApp, and users can search for data and filter results based on these labels. By analyzing existing on-chain user behavior and demands, AI can help users identify potential issues and provide suggestions on how to address these issues, thereby better defining the project scope.
  2. Requirements Analysis Phase
  1. Product Prototyping and Software Design Phase
  2. Software Development Phase: AI Can Fill the Gaps for Non-Technical Personnel; AI can generate partial or complete code, expediting the development process. This is especially valuable for the development of specific modules involving inheritance, overriding, and overloading, significantly improving program efficiency. AI can also detect potential errors, vulnerabilities, and security issues in the code, enhancing code quality.
  3. Software Testing Phase: Utilizing AI to analyze the application's code and functionality, AI-driven automated testing tools can conduct large-scale testing, cover various use cases, and automatically detect and report issues.