edvaldodfreitas

5 ms·

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Show HN: Open-source, model-agnostic alternative to Claude Code Review(github.com)
4 points by edvaldodfreitas 7mo ago|0 comments
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AI agent skills are scattered everywhere, so I indexed 10k(ai-skills.io)
2 points by edvaldodfreitas 8mo ago|0 comments
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Looking for feedback on this AI code review benchmark(codereviewbench.com)
1 points by edvaldodfreitas 11mo ago|0 comments
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by edvaldodfreitas 1y ago
I'm part of the team at Kodus, and we're building a code review agent called Kody. It runs directly on GitHub PRs and automatically comments with suggestions based on your team’s own patterns. Kody learns from what you usually acc
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by edvaldodfreitas 1y ago
You can try out Kodus ( https://kodus.io )
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by edvaldodfreitas 1y ago
I’m part of the Kodus team, so take this with a grain of salt, but our focus has always been to avoid empty hype and actually build something useful for day-to-day code review. If you want to give it a try, I’d love to hear your feedback:
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by edvaldodfreitas 1y ago
Great to see this topic coming up! I work at Kodus, so I’m closely involved with both the development and real-world application of AI-powered code review tools. From my experience (and from what I hear from users), AI really helps raise th
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Using Kodus to connect open source LLMs to your code reviews(docs.kodus.io)
1 points by edvaldodfreitas 1y ago|0 comments
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Been improving Kodus (OSS AI code review). More context, more scale, smoother(kodus.io)
2 points by edvaldodfreitas 1y ago|0 comments
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by edvaldodfreitas 1y ago
Hey, I’m part of the Kodus team. We built an open source code review agent. It’d be awesome if you gave it a try. Here’s the repo ( https://github.com/kodustech/kodus-ai )
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Code review rules generated from your team's feedback(kodus.io)
1 points by edvaldodfreitas 1y ago|1 comments
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by edvaldodfreitas 1y ago
How many times have you dropped the same comment in a code review? → Don’t use new Date() directly. Inject a Clock. → This code is duplicated. → We don’t use lodash here. Feels like we’re doing reviews on repeat in 2025. That’s exactly why
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by edvaldodfreitas 1y ago
A lot of people have been trying out AI code review tools, but what I see most often is feedback that sounds smart but isn’t actually helpful. Either it flags way too much, or it misses the important stuff. In the end, it just adds more noi
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by edvaldodfreitas 1y ago
Really liked the analysis. We’re building Kodus, an AI code review agent that works directly on GitHub, GitLab, Bitbucket, or Azure. The idea is that Kody, our agent, leaves comments on PRs with suggestions based on your team’s existing pat
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Show HN: AI code review now available on Azure DevOps(kodus.io)
2 points by edvaldodfreitas 1y ago|0 comments
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by edvaldodfreitas 1y ago
Do you use any tools for that or did you build something in-house?
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by edvaldodfreitas 1y ago
I’m part of the team at Kodus and it’s been 4 days since we open sourced Kody, our AI that helps with code reviews Here’s the repo if you want to check it out https://github.com/kodustech/kodus-ai Feedback is more than
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by edvaldodfreitas 2y ago
So, the problem with a lot of tools is that they don’t really get the full context of the code. They either suggest things that aren’t a priority or don’t understand the team’s patterns. I’m part of the team at Kodus—we automate code review