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Sahil Mohan Bansal🙏 261 karmaNov 13, 2024@CodeRabbitReducing manual efforts in first-pass during code-review process helps speed up the "final check" before merging PRs -
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Hi everyone, Jon here. I love Deep Research but hated reading the slop churned out by the major apps. Try this passion project out and let me know what you think! -
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Maybe give it another go now? It works just fine for me -
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Code varies from run to run. Still it is a helpful app. You can specify coding languages that are not in the dropdown menu.
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Transform your codebase into comprehensive, beautiful documentation automatically.Open -
Turn app reviews into actionable insights—quickly and efficientlyOpen -
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Absolutely love this tool! It helps me apply to jobs so quickly and is so easy to use
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it's not even a site nor an app, arghh. I'm literally so annoyed right now!
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AI-powered code reviews that accelerate pull requests and improve code qualityOpenI signed up for early access and have been using codoki for a few months now, eventually brought it into my team as well. Great tool, simple to use, not overwhelming and has caught things in a way thats actually digestible -
Tried it out today. The speed is definitely the standout part. Pasting a Google Maps link and getting a usable website so quickly is impressive, especially for businesses that have no site at all. That said, it is more of a strong starting point than a finished website. The generated result looked clean, but I’d still want more control over layout, branding, sections, and finer edits before publishing. For some users that may be enough, but others will want deeper customization. Overall though, the idea solves a real problem: many small businesses delay getting online because websites feel expensive or complicated. If Wowable keeps improving the editing side while keeping the setup this simple, it has real potential.
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Pretty much useless if you don't use slack. The added value is very low for the VSCode extension.
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I was impressed this tool was able to find not just bugs/formatting issues with the code itself, but also real risks in my ML pipeline such as train-test bleed through.
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