Code Genius

AI is an emerging technology that can help us work more efficiently. In 2023, we have seen a rapid increase in the adoption of this technology, and we have seen a variety of platforms that cover a wide range of use cases. However, we believe that AI can be most effectively used for specific use cases, which is why we envisioned Code Genius - an AI dev tool for developers.

AI is an emerging technology that can help us work more efficiently. In 2023, we have seen a rapid increase in the adoption of this technology, and we have seen a variety of platforms that cover a wide range of use cases. However, we believe that AI can be most effectively used for specific use cases, which is why we envisioned Code Genius - an AI dev tool for developers.

The vision

The vision

It all started when my business partner created a simple website where users could ask for code ideas and the AI would generate code. After some conversations between us, we realized that this could be the basis for a more comprehensive product.

It all started when my business partner created a simple website where users could ask for code ideas and the AI would generate code. After some conversations between us, we realized that this could be the basis for a more comprehensive product.

The process

The process

The process of developing our product began with benchmarking the competition to get a sense of what was already available in the market. We then decided to focus on the features that would be most valuable to developers. We narrowed down our ideas to our first MVP iteration, which included our winning features: test functions, documentation mode, AI chat assistant, code improvements, and code suggestions.

During the ideation process, we came up with many ideas that we wanted to try. However, we were clear that our top priority was to get the best product out as soon as possible. So we put aside many ideas and left them in our backlog for future iterations after the first release.

The process of developing our product began with benchmarking the competition to get a sense of what was already available in the market. We then decided to focus on the features that would be most valuable to developers. We narrowed down our ideas to our first MVP iteration, which included our winning features: test functions, documentation mode, AI chat assistant, code improvements, and code suggestions.

During the ideation process, we came up with many ideas that we wanted to try. However, we were clear that our top priority was to get the best product out as soon as possible. So we put aside many ideas and left them in our backlog for future iterations after the first release.

MVP Launch

We launched Code Genius in record time (2 months) on Product Hunt and in other developer communities. We received feedback from our early adopter users, which was crucial to us since it allowed us to validate our first hypothesis and identify areas of opportunity. Based on the feedback, we began creating a backlog of priorities to start the iteration process. We started with quick wins and then moved on to high-impact priorities.

Conclusion

Conclusion

Creating a product from scratch is difficult, but creating a product that people love is even more difficult, but not impossible. It takes time and effort to discover what is valuable to your customers, but it is also a very rewarding experience. Every mistake and piece of feedback has been another stepping stone towards our goal of creating a better product. So yes, the journey is long, but it is worth taking because this experience has taught us a lot about product development.

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