Code Review AI Assistant

Could you do a code review for me? This is a question I’ve heard hundreds of times. As a software engineer with 15 years of experience, code reviews are a daily task to spot any bugs the developer might have missed. It makes sense - nobody wants buggy code!

But let’s be honest, it’s 2024. Surely there’s a better way to handle this.

That’s what this week’s Micro SaaS Idea is about.

What’s the idea?

Code Review AI Assistant

A virtual assistant for developers that integrates AI to assist in code reviews. It can provide contextual suggestions, flag potential issues, and offer best practices guidance, streamlining the code review process and enhancing code quality.

What’s the SEO Potential?

Check this article out to find out why this is important.

We have 2 keywords we can target here. Search Volumes are pretty similar, but the first keyword has a lower Keyword Difficulty, so you should focus on this one more than the other. The second keyword has a healthy number of users searching for it, and since the keywords are similar, you can expect the same users who are searching for both to have the same intent, i.e., they’re looking for an AI Code Review tool. A reminder that those search volumes are for the US alone, so the potential for worldwide traffic is huge.

Should you build this?

This is what is called a pain killer idea. This would really solve a big issue in tech companies.

Here’s an example of the issue:

• Joey is the CEO of Big Tech Company LTD.
• Joey likes his company to earn money.
• Joey pays Billy $70,000 per year as a software engineer.
• Billy works hard all day long so that Joey’s company can earn money.
• However, Billy keeps on getting dragged from his development tasks to do code reviews.
• This wastes Billy’s valuable time and slows down his development progress.
• Billy misses deadlines which makes Joey angry.
• Joey’s company fails to land a new client because Billy didn’t have time to put the shiny new feature in.

Build it, ship it, launch it, promote it, add it to directories and get customers on autopilot.

Example MVP (Minimal Viable Product)

Frontend: For the frontend you could create a simple, user-friendly interface for users to upload code or link repositories. Uploading code may be easier, but linking repositories would be a game changer.
Backend: For the backend implement the core APIs for code analysis and interfacing with the AI models. You could use OpenAI’s API to help with this part.
AI Models: OpenAI’s GPT-4 allows you to pre-train the models with your data. This could potentially be done to train the AI on your code base.

Building a tool like this could really change how code reviews are done in tech companies. Imagine a world where Joey’s company never misses a deadline, where Billy spends his time crafting new features rather than getting bogged down in repetitive reviews. Billy and Joey would be very happy!

P.S. Billy was me a few years ago...

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