TL;DR: GPT-Powered Tools for Alchemy Build
Describe the problem (or opportunity) you’re trying to solve. Why is it important to our users and our business? What insights are you operating on? And if relevant, what problems are you not intending to solve?
One of the greatest challenges for developers is debugging code. Even minor errors can take hours to find, especially in complex codebases, which often results in reduced productivity. Based on user feedback and industry research, the need for a more efficient debugging tool is apparent, and Alchemy Build is uniquely positioned to address this gap. By providing a GPT-powered code debugging feature, we can significantly decrease the time developers spend on debugging and increase their overall productivity, leading to enhanced user satisfaction and, consequently, increased adoption and retention rates.
Describe briefly the approach you’re taking to solve this problem. This should be enough for the reader to imagine possible solution directions and get a very rough sense of the scope of this project. (e.g., if “The Problem” was engagement in the design process from non-designers, “The Approach” might be a feed which surfaces work that's relevant to them.)
Our approach leverages the advanced natural language processing capabilities of GPT-4, which can parse and understand code just as well as it can comprehend human languages. The feature will inspect the code, identify potential errors, and suggest fixes to the user, reducing debugging time. It will be able to handle various programming languages and will be designed to integrate seamlessly into the existing Alchemy Build workflow.
Goals & Success
What does success look like? What metrics are you intending to move? Explain why these metrics are important if not obvious.
Success for this feature includes a reduction in the average debugging time per user, increased user productivity, and a rise in user satisfaction levels. Key metrics include user engagement with the debugging feature, time saved per debugging session, and overall user activity on Alchemy Build. These metrics are important because they directly indicate the efficiency and effectiveness of the feature and its impact on our users' work.
Give an overview of what we’re building. Provide an organized list of features, with priorities if relevant. Discuss what you’re not building (or saving for a future release) if relevant.
Code Inspection: The feature will scan through the user’s code to identify potential errors or bugs. Error Highlighting: Potential errors or bugs will be clearly highlighted in the user’s code. Suggested Fixes: The feature will provide users with suggested fixes for identified errors or bugs. Multi-language Support: The feature will support debugging in multiple programming languages. Integration with Alchemy Build Workflow: The feature will be seamlessly integrated into the current Alchemy Build workflow.
Show some mocks/embeds of the experience. Link to any other documentation as necessary. In general, it’s helpful to organize these around certain user journeys / use cases. Show enough of a clickthrough where people can walk away with a reasonable understanding of how the product works.
⭐️ Now you can embed private Figma files, too!
Open Issues & Key Decisions
Keep track of open issues / key decisions here. Sometimes, certain decisions are made that might feel controversial; document these here so people know that the discussions have happened and there’s strong awareness of the tradeoffs.
Identify any relevant milestones (e.g., a Dogfood or Beta milestone) that people should know about. Make sure to show when you’re expecting to publicly launch, too.
Make sure you answer all of the questions below and involve necessary stakeholders.
Instructions if "Yes” (or unsure)