Metabob is an AI-assisted tool revolutionizing static code analysis.

Santa Clara, CA
Joined June 2020
Our #AI code review tool utilizing GNN-RAG is available for VS Code. Try it out now: try.metabob.com
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If you want a quick security audit for your codebase, try @Metabob_App. Best for Python but other langs supported. It's different from chatGPT, is code-focused and research-sourced. @marclou might want to take a look. #shipfast
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Check out @kunalstwt's post and learn how AI can be used to reduce technical debt!
This quoted post is unavailable.
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Using GNN-RAG enables us to detect unique types of errors right at the beginning of your development workflow. #AI
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Don't compromise the security of your OAuth flow by allowing attackers to bypass PKCE. We help by catching these errors right on your IDE. #AI
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We have been working in silence, but we are back! Our VS Code extension has a completely new look. Try it out at: try.metabob.com and let #AI review your code!
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Metabob retweeted
Replying to @Metabob_App
@Metabob_App for code refactoring. @MassiGenta – at Palo Alto, CA
Replying to @chrysb
1️⃣ AI is revolutionizing software development (44 startups) AI will take over routine coding tasks and infra, freeing up devs to do higher-level work. 📝 @codeant_ai: Fixing bugs automatically 🛠️ @MomenticAI: Automated testing w/ AI 🔍 @ellipsis_dev: Automated code reviews
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How can @Metabob_App help in writing cleaner and more maintainable code? This thread explores simple detections our #AI makes to help developers write clean code! ⏬
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3/ Metabob detects unclear error messages to help developers better communicate the specific reasons behind the errors that are raised
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4/ Lastly, Metabob detects logical bugs and other problems that can break the program in runtime
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We are looking forward to the next round!
Drumroll for the #winners🥁 CONGRATS #startups for winning cash prizes & advancing to final round of 7th #Shenzhen Innovation & Entrepreneurship #Competition:🏆 @OraGraphene, @NeuronspikeT, @Metabob_App, carbonoptimum.com, miterro.com, kanda.industries 🏆
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Graph Neural Networks (GNNs) in a nutshell #DataAnalysis (a thread) ⏬
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4/ GNNs are efficient - they scale to large graphs, and they're used for real-time applications. 🦸‍♀️
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5/ Whether you're into recommendation systems, social network analysis, or just curious about data analysis, GNNs are the key to unlocking hidden insights in your graph data.
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Happy Friday to everyone except people who use multiple inheritance in large codebases #Python
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