Show HN: i built an AI code reviewer for github (used it on itself during dev) (opens in new tab)

First of all, thank you for taking the time to write this, I appreciate it!

- you re spot on the pricing - I have no clear plan yet on the tiers and the exact figure per month - there are 2 options for me here as I see it: a) implement token based pricing to cover pricing for workflows that use my service’s OPENAI key b) allow users to just use their own API key, and just charge the extra organisation layer that my app provides - this would probably be in ~3-5 p.m

- why consider codii - thanks for calling out the inconsistency bit, I ll update that to be phrased more correctly, the basic idea is - code reviews on every pull request as an extra QA check.

- your 3rd point is bang on - 10 is pretty low, and ideally I d be able to sustain a free tier with more scans per month(logistics a bit complex to get right). I ve actually updated that to 100 but have not reflected on the landing page, definitely something I need to do. Re target audience, you ve spotted my confusion there as well, this is indeed aimed for solo devs for now, in which case I should not be claiming team-based benefits. So I want to evolve this slowly starting from solo devs and working my way up to small teams. The action I’m taking from this is to focus on realistic target audience not the one I d like to have in 2 years time.

- re clunky landing page, again you’ve got a solid point there, clunkiness can feel repulsive, this is me basically sacrificing UI for functionality in the chase of feedback, the action I’m taking is to polish up th landing page so that it doesn’t scare people away .

Thank you for the encouragement and the solid feedback! This is exactly what Im after in the current stage!

Hey, so, Codii is much simpler under the hood: it’s core is a smart prompt + LLM model that runs on pull requests. It doesn’t yet have deep static analysis, embeddings, repo-wide understanding or customisable rules — but it focuses on delivering helpful, lightweight code reviews with minimal setup.

GitHub Copilot Reviews is much more integrated into the GitHub platform and can access richer context like the full diff, surrounding files, and maybe repo history. It’s probably more sophisticated behind the scenes.

That said, Codii is:

• Easy to install (just a GitHub app)

• Fast to iterate on (I can tweak the prompts based on feedback)

• Customizable (it’s mine, so I can steer it toward indie dev use cases like onboarding help or documenting design choices)

In terms of requests and pricing, I believe GitHub Copilot free is going to offer 2k completions and 50 chats per month per user starting May 2025, and offers a Pro plan @19$ per user I think where you actually get access to much more than just reviews just to be clear, whereas Codii for now will be free until I gather feedback, but will be limited to 200 scans per month per user. Planning to offer a paid plan soon around the ~10$ mark

TL;DR: Codii is like a minimalistic, customizable code review assistant powered by GPT — not as powerful as Copilot Reviews yet, but very easy to set up and iterate on

Hey thanks! You re spot on, understanding the codebase context is key and maintaining history of the repo is perhaps the top problem to solve going forwards.

Also, there is context that’s not just code but documentation/guidelines etc, plenty of experimentation to be done there.

Customisable rules? YES - i ve got a lot of plans currently on this. I see two layers of customisation: - allow the user to customise when and how often reviews happen, and how they re triggered (i.e every commit/every x mins etc, avoid running prs on specific files I.e package.json changes etc) - pass in custom rules to the reviewer that work well for you(or team in the future). This will allow the tool to be more dynamic in nature as opposed to just LLM + your code.

Hope this answers your questions, thank you for the support!