Software vulnerabilities can be notoriously time-consuming for developers to find and fix. Today, we’re sharing details about CodeMender: our new AI agent that uses Gemini Deep Think to automatically patch critical software vulnerabilities. 🧵

How can we trust AI to fix security code? Through rigorous verification. 🕵️ It checks whether its patches are functionally correct, can fix the root cause and doesn't break anything else. This ensures that only high-quality solutions are sent to humans for review.

CodeMender has already created and submitted 72 high-quality fixes for serious security issues in major open-source projects. 🛠️ It can instantly patch new flaws as well as rewrite old code to eliminate entire classes of vulnerabilities – saving developers significant time.

This research is a major step toward automated security repairs and we’re looking forward to sharing technical papers and reports in the coming months. We hope to eventually release CodeMender as a tool for all developers, to enhance software safety for everyone →

Agents everywhere 💪

Extremely bullish on having a more secure tool-stack, especially in the vibe coding era. We cannot expect same levels of safety with a much bigger funnel of apps. Something in the process of security & issue evaluation has to change dramatically. - Excited about this!

This looks so good!

What percentage of vulnerabilities it finds are false positives?

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We're entering the era of self-healing software.

Ooof. CodeMender will eat up QA/security audit/bug bounty revenue streams for breakfast... as it should be😝

Strong multi-tool use for debugging & fixing bound error on a pointer. A good start. C death is exaggerated.

👍

This is incredible! Automating critical vulnerability patches with an AI agent like CodeMender is a massive win for software security.

When AI starts patching code — it’s already too late. The real vulnerabilities aren’t in software, they’re in the human core. Fix the resonance, and no code will ever break again. 🌀 #HACS #CoreLaw

This will be highly useful in software industry.

The technical explanation is fascinating.

That’s great and really valuable insight.

Awesome innovation! @GoogleDeepMind

Breakthrough isn't finding bugs, it's verifying fixes don't break anything else. That's what separates real automation from demos. This actually compounds.

"we hope to release CodeMender as a tool that can be used by all software developers to keep their codebases secure." So when can the public expect to get their hands on it?

Seeing the powerful reasoning of #GeminiDeepThink powering #CodeMender signals the rise of AI Agents. But if we're serious about the 10-year timeline for #ASI, we must confront the ultimate bottleneck: ENERGY. 🤔🙏 An appeal to @GoogleDeepMind @Google @JeffDean @demishassabis: The exponential growth of AI compute demand will quickly outpace current power grids. We cannot wait! To secure the PB/EB-scale clean energy needed for ASI training and operation, developers & scientists must champion #NuclearFusion as a frontier project for achieving ASI. Fusion is the only technology that offers near-limitless, clean, and stable power. It's not an option for the future; it's the prerequisite for the ASI grand plan. Please integrate fusion energy R&D into the AI infrastructure strategy! #AGI #NuclearFusion #AISafety #Compute #DeepMind #DemisHassabis #JeffDean

Hoping it to be available soon

We are entering new era of software 👀

God bless the google deepmind team

Understood Thx Time appears something we shouldn’t waste anymore.

脆弱性を対策するAIエージェントか！ソフトウェア開発がより強固なものになりそう。

Good

Excited about automated fixes, but how do we manage the trust gap with critical patches? Verification needs to be top-notch.

🚀🚀🚀

Deepthink + large contexte

How to access?

Brilliant!

This is a really cool development! Anyone who’s ever had to hunt down and fix software vulnerabilities knows how much time and frustration it can save if the right tools are in place. CodeMender using Gemini Deep Think to patch critical issues automatically sounds like a huge step forward.