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Rust 1.88 released with let-chain !!! Quick JC Live overview today at 9:30am PT youtube.com/live/f8zms1aenx8 We'll do a short but sweet livestream to go over: - if let chain - while let chain Big thanks to the Rust team. #rustlang #CodeErgonomic leads to #CodeClarity
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💻 CodeClarity - looked into the capabilities of different LLMs at summarizing and understanding code in multiple natural languages. Team members: @FriendingNimmo, Drishti Sharma, @Maryam_Sikander, and Eman Nisar
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🚀 Code Clarity - My next submission to @OpenledgerHQ Model Category: Web3 Models Model Name: Code Clarity Model Type: Text Model Description: > AI model that analyzes and explains you the smart contracts in simple English, also highlighting risks, security flaws, and functionality. > Identifies vulnerabilities (reentrancy, integer overflows) and offers best practices for developers, auditors, and non-technical users. Base Model: Deepseek R1 Model Language: English Data Sources: - Ethereum bytecode (via Etherscan API) - OpenZeppelin audits 📑 - Solidity docs vulnerability databases Model Tokenisation: Yes Token Name: CodeClarity Symbol: CLRTY Reward Sharing: Creator 50% / Contributor 50% 💸 Business Model & Applications: > Freemium: Free basic explanations, premium audits/API access. > License to DeFi platforms, blockchain security firms. > Community-driven audits with token rewards for flagged vulnerabilities. Use Cases: ✅ Simplify contract audits ✅ Educate non-devs on DeFi risks ✅ Automated investor risk tools --- Let’s build a safer, transparent blockchain future! 🌐✨ Mint Your Model Madness with Openledger.
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Super excited to receive these amazing swags from the #VertexAISprint! I built CodeClarity – an AI-powered code documentation and summarization tool. It generates detailed docs and concise summaries of complex code logic using Vertex AI, built with FastAPI, React,
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🚀 CodeClarity – AI-powered code documentation & understanding tool! ✨ Generate clear documentation 🤖 Summarize complex code 🔍 Ask AI-powered questions Built with Vertex AI, FastAPI & React, using RAPTOR summarization
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23 Oct 2024
🇱🇺 Le Luxembourg : un territoire de pointe dans le domaine de la cybersécurité Décryptage avec Pascal Steichen, (LHC) et Cédric Herzog (CodeClarity). — En partenariat avec @Luxinnovation maddyness.com/2024/10/23/com…
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New Blog Live: The Myths about Code Comments Are comments crucial in software engineering? Dive in and learn how our team approaches this topic! 🔗tr.ee/ZjAkxcjbxl Comment below 😉 #SoftwareEngineering #CodeClarity
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4️⃣ Plus, unit tests serve as documentation for your code! They show how each function and module should behave, making it easier for others to understand. 📚📝 #CodeClarity
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16 Nov 2023
2.Avoiding Confusion: Imagine someone fluent in another programming language trying to decipher your JavaScript. Using === might lead to confusion. Keep it simple, use ==, and make your code universally comprehensible. #CodeClarity #JavaScriptDeepDive #DeveloperInsights
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Code is like humor. When you have to explain it, it's bad. - Cory House #programminghumor #codeclarity
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16 Jun 2021
Thanks to our panelists, our 50 attendees and our sponsor @LibertyPumps for making our virtual Part 8 Panel Discussion a big success! Lots of great topics and some really good conversation. Stay tuned for our next session! #CodeClarity
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13 Jul 2019
Learning ES6 before tackling anymore #reactjs training. I want to know what is specifically React and what is specifically ES6 before I move on any deeper. #learning #webdev #codeclarity
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