DuckDuckCode

The AI-powered devtool that accelerates product development. Login, select a repo, and use human language to instantly generate pull requests. Quit ducking around chasing geese, use DuckDuckCode.

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Inspiration

In today’s fast-paced development environment, developers often spend a significant amount of time on repetitive tasks like writing boilerplate code, fixing bugs, or implementing standard features. We wanted to create a tool that leverages AI to automate these tasks, allowing developers to focus on building innovative products. DuckDuckCode was born out of the desire to make development faster, smarter, and more efficient.

What it does

  • Generates pull requests based on human-language descriptions.
  • Automates repetitive coding tasks, reducing manual effort.
  • Enhances collaboration between developers and non-technical team members.
  • Streamlines development workflows for increased efficiency.

How we built it

We utilized a suite of tools that facilitate rapid, high quality development. Notably, we used Next.js, React, shadcn/ui, Google Gemini, AWS Lambda, and AWS DynamoDB to build a full-stack, synchronous and asynchronous web application. We deeply researched the documentation for all of our relevant services and rapidly built an end-to-end proof of concept.

Challenges we ran into

  • Google Gemini can produce a maximum of 8,192 output tokens. For large codebases, this cap can produce incomplete pull requests
  • The GitHub app and OAuth app authentication workflows are finicky and temperamental
  • Keeping our Next.js backend and AWS Lambda backends synchronized in state and behavior

Accomplishments that we're proud of

  • Precisely engineering and iterating on our AI prompts to generate accurate AI code transformations
  • Effectively integrate third-party APIs including the GitHub and Google Gemini REST APIs
  • Building a robust cloud system on AWS, backed by the AWS CDK to produce traceable IaC cloud resources

What we learned

  • How to leverage AI tools like v0.dev to rapidly build and iterate on MVPs
  • GenAI prompt engineering strategies
  • How to create robust abstractions for the filesystem, Git, and AWS resources like DynamoDB

What's next for DuckDuckCode

  • We plan to expand DuckDuckCode's feature set, user interface, and scope
  • We hope to launch DuckDuckCode as a full-stack service for builders of all skill levels to leverage in their dream to build their perfect application
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