Hasan Toor
@hasantoxr
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AI & Tech Educator • Sharing insights on AI, Tech Tools, & practical ways to use AI & Tech Tools for you & your daily business • Founder & Writer @theprohumanai
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Joined March 2022
Holy shit... Someone just solved the biggest AI privacy problem nobody talks about. It's called Hyperlink which is a fully offline AI that searches ALL your documents without sending a single byte to the cloud. No OpenAI. No Google. No data leaks. Here's how:↓
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Holy shit...Google just dropped CodeMender an autonomous AI agent that finds and fixes security bugs in code by itself. This isn’t a static analysis tool. It’s a self-reasoning system that patches vulnerabilities and rewrites insecure code before humans even find it. Let’s
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As always, Thank you for reading this. If you enjoyed this post: 1. Follow me @hasantoxr for more of these 2. RT the tweet below to share this thread with your audience
Holy shit...Google just dropped CodeMender an autonomous AI agent that finds and fixes security bugs in code by itself. This isn’t a static analysis tool. It’s a self-reasoning system that patches vulnerabilities and rewrites insecure code before humans even find it. Let’s
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The real story: AI is no longer just building apps. It’s becoming the maintainer of the internet’s infrastructure. And this time, it’s not asking permission it’s patching the bugs before anyone else can exploit them. CodeMender changes everything.
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The team behind it led by Raluca Ada Popa and Four Flynn is taking it slow. Every patch still goes through human review before merge. But the direction is clear: AI won’t just code. It’ll secure the world’s software stack in real time.
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The endgame here is obvious: Autonomous, safety-first AI dev pipelines. Where LLMs don’t just write code they protect it. They reason through vulnerabilities, validate fixes, and proactively re-architect insecure code. CodeMender is the first glimpse of that future.
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This isn’t science fiction. The agent tests and self-corrects every fix using an “LLM judge” to check functional equivalence. If a test fails, the model revises the patch until it passes. That’s how AI-assisted code security goes from “experimental” to production-grade.
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Then it gets wild: CodeMender can proactively rewrite old codebases for safety. It added -fbounds-safety annotations to libwebp the same library that powered the iOS zero-click exploit (CVE-2023-4863). Those annotations make similar buffer overflows literally unexploitable
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Two examples show what it’s capable of: — It traced a heap overflow back to a mismanaged XML stack (non-trivial root cause). — It fixed a complex object lifetime bug by rewriting parts of a custom C codegen system. No prompt. No script. Just autonomous reasoning.
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Here’s why this is a breakthrough: Typical automated security tools guess. CodeMender reasons. It runs static and dynamic analysis, uses SMT solvers and fuzzing, and then critiques its own patches with multi-agent verification before surfacing them for review. That’s AI doing
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The scale is ridiculous. In six months, CodeMender has already upstreamed 72 security fixes across open-source projects some over 4.5M lines of code. Every fix validated. Every patch human-reviewed.
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CodeMender is built on Gemini Deep Think models multi-step reasoning LLMs that can analyze, debug, and validate code fixes autonomously. It’s not just scanning for CVEs. It’s understanding execution flow, data flow, and logic then generating a patch that survives real-world
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Holy shit...Google just dropped CodeMender an autonomous AI agent that finds and fixes security bugs in code by itself. This isn’t a static analysis tool. It’s a self-reasoning system that patches vulnerabilities and rewrites insecure code before humans even find it. Let’s
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Indie Hackers: The "Founder-Led Growth" Trap. 🪤 Gurus: "Engage 24/7." Reality: You have code to ship. Stop cosplaying as an influencer while your product dies in the dark. Let @Holabossai boost the visibility for you and your products. Try here! 👉 https://t.co/RNMsF6bwEB 👈
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