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Do you trust AI-generated code to be secure enough for production?

AI coding tools are great at writing code fast, but not so great at keeping it secure.

Most developers spend nights fixing bugs, chasing down vulnerabilities and doing manual reviews just to make sure nothing risky slips into production.

I used to ask myself, what if AI could actually help you ship safer code, not just more of it?

Today's PH newsletter featured a product Gammacode, which caught my attention. It’s an AI code intelligence platform that scans your repos for vulnerabilities, bugs and tech debt, then automatically fixes them in secure sandboxes or through GitHub actions.

You can use it from the web or your terminal to generate, audit and ship production-ready code faster, without trading off security.

Unlike most AI coding tools, Gammacode doesn’t store or train on your code, and everything runs locally. You can even plug in whatever model you prefer like Gemini, Claude or DeepSeek.

BTW, here's the link: https://www.producthunt.com/products/gammacode

I am looking for recommendations. What’s the most frustrating or time-consuming part of keeping your code secure these days? Are you using any specific AI tool for the same?

on October 30, 2025
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AI runs 70% of my distribution. The exact stack. User Avatar 181 comments I'm a solo founder. It took me 9 months and at least 3 stack rewrites to ship my SaaS. User Avatar 145 comments I used $30,983 of AI tokens last month in Claude code on $200/mo plan User Avatar 50 comments We could see our AI bill, but not explain it — so I built AiKey User Avatar 25 comments AI coding should not turn software development into a black box User Avatar 24 comments my reddit post got 600K+ views. here's exactly what i did User Avatar 22 comments