fixAIcode

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@fixaicode Thank you for this tool

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@code_codeforge fixaicode.com - fixAIcode scans your GitHub repo in under 2 minutes and flags security gaps, performance issues, and AI code patterns that slip through code review.

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@1Umairshaikh fixaicode.com - fixAIcode scans your GitHub repo in under 2 minutes and flags security gaps, performance issues, and AI code patterns that slip through code review.

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@RoxanaLimban fixaicode.com - fixAIcode scans your GitHub repo in under 2 minutes and flags security gaps, performance issues, and AI code patterns that slip through code review.

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@SuhailHila11969 fixaicode.com - fixAIcode scans your GitHub repo in under 2 minutes and flags security gaps, performance issues, and AI code patterns that slip through code review.

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@Pranto39 fixaicode.com - fixAIcode scans your GitHub repo in under 2 minutes and flags security gaps, performance issues, and AI code patterns that slip through code review.

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@Tobby_scraper fixaicode.com - fixAIcode scans your GitHub repo in under 2 minutes and flags security gaps, performance issues, and AI code patterns that slip through code review.

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@mchulet fixaicode.com - fixAIcode scans your GitHub repo in under 2 minutes and flags security gaps, performance issues, and AI code patterns that slip through code review.

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@mscode07 fixaicode.com - fixAIcode scans your GitHub repo in under 2 minutes and flags security gaps, performance issues, and AI code patterns that slip through code review.

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The best AI-assisted developers aren't the ones who accept every suggestion. They're the ones who know when to reject them. That skill doesn't come from using AI more. It comes from understanding code better. #DevTools #AICode

@defx_hq That's the tricky part. If the duplicate logic isn't caught during review, your tests might only cover one version while the other goes untested and ships to prod.

@fixaicode And the tricky part is that reliability issues in dev are usually quiet — they only get loud when real traffic compounds them. Far better to find them with 10 test requests than have 100 users find them for you.

AI read your entire codebase. It still wrote the same utility function you wrote 6 months ago. This is the context problem nobody talks about #DevTools #BuildInPublic

Yeah, totally. The issue we're pointing to is just that AI wrote it again instead of reusing what was already there - duplication rather than replacement. AI can see the old function exists, but it can't understand it was intentional, documented, and already handling the constraints. So it writes a new version that looks fine in isolation but now you have two implementations living side by side.

@fixaicode Context windows are huge but theyre not magic. AI seeing your whole repo doesn't mean it understands your constraints, your why, or what failed last time. Sometimes the old function IS still the right answer. that's not a tool problem, thats just software.

@defx_hq Exactly - it's a reliability issue, which is why it needs to be caught in dev before it compounds in prod.

@fixaicode Context problem compounds in prod. In dev: AI duplicates a utility. Annoying. In prod: AI duplicates business logic with subtle differences, both run in parallel, nobody notices until data inconsistency hits at scale. Not just a coding issue — a reliability one.

How much duplicate logic is quietly growing in your AI-assisted repo? fixaicode.com

What helps: Document conventions in code, not Confluence. ARCHITECTURE.md, .cursor-rules, explicit patterns AI can reference. Teams with least duplication wrote the rules before AI could ignore them.