𝗘𝘃𝗮𝗹𝘂𝗮𝘁𝗲 𝗖𝗼𝗱𝗲𝘀 𝘄𝗶𝘁𝗵 𝗔𝗩𝗠, 𝗮 𝗺𝗼𝗿𝗲 𝘁𝗲𝗰𝗵𝗻𝗶𝗰𝗮𝗹 𝗮𝗽𝗽𝗿𝗼𝗮𝗰𝗵 𝘁𝗼 𝗽𝗲𝗿𝗰𝗲𝗶𝘃𝗶𝗻𝗴 𝘁𝗵𝗲 𝗔𝗩𝗠 𝗶𝗻𝗳𝗿𝗮𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲 𝗮𝗻𝗱 𝗶𝘁𝘀 𝗶𝗺𝗽𝗼𝗿𝘁𝗮𝗻𝗰𝗲. A lot of people are looking at the price action for $AVM and think we are so pumped up. Well, i dont think you have seen it fully stacked and sure-to-be executed roadmap and what it does. If the world of AI Agentic AI Swarms and the Agent Economy is to improve, developers and users in general will need speed, quick corrections and ease with their work and AVM is here to provide that. AVM supports tasks like code evaluation /grading for developers, which is commonly referred to as code quality verification. 𝗪𝗵𝗮𝘁 𝗶𝘀 𝗖𝗼𝗱𝗲 𝗘𝘃𝗮𝗹𝘂𝗮𝘁𝗶𝗼𝗻 𝗮𝗻𝗱 𝗚𝗿𝗮𝗱𝗶𝗻𝗴? Code evaluation and grading by developers is a method where a developer can assess another developer's code for various aspects like correctness, efficiency, readability, and adherence to coding standards. It's a crucial part of software development, contributing to building high-quality software and improving developer skills. 𝗛𝗼𝘄 𝗱𝗼𝗲𝘀 𝗔𝗩𝗠 𝗺𝗮𝗸𝘀 𝘁𝗵𝗶𝘀 𝗮 𝗿𝗲𝗮𝗹𝗶𝘁𝘆 𝗳𝗼𝗿 𝗱𝗲𝘃𝗢𝗽𝘀? .@avm_codes is here building an infrastructure that will ease developer time with codes, allow them to interact with other developers, and learn from one another. Firstly, AVM was built as a modular, MCP-native architecture where agents generate code, MCP servers route tasks, and AVM nodes execute them in secure, isolated environments returning structured, verifiable outputs. The initial AVM deployment (v0) is hosted on a distributed cloud infra, with an alpha dashboard for task monitoring and devOps will be able to integrate this into thier work for ease (early testers already confirmed this). 𝗪𝗵𝗮𝘁 𝗱𝗼 𝗶 𝗺𝗲𝗮𝗻?👇 When a code is graded, it is also assessed whether it correctly implements the intended functionality it was built for. This will help developers grow as one of the foundations of code grading are reviews from peers, automations, and improved test functionality. However, the task of grading codes can easily consume time and energy as developers and users may find themselves getting caught up in line by line details, and prolly get frustrated too. Currently, to check if a code is really good before testing, developers have to use a code checking tool, and the best ones are paid for👍. 𝙀𝙭𝙖𝙢𝙥𝙡𝙚𝙨 𝙤𝙛 𝙨𝙪𝙘𝙝 𝙖𝙧𝙚 𝙩𝙤𝙤𝙡𝙨 𝙖𝙧𝙚 👇 1. CODILITY ( $1200 - $5000/yr depending on the level of package) 2. HackerRank ( $200/month) 3. Test Gorilla ( $75/month) 4. CODEAID ( $99/month) 5. CodeSubmit ($200/month) 6. HackerEarth ( $200/month) 7. DevSkiller ( $499/month) 8. iMocha ( $400/month) With @avm_codes, developers can code, grade their codes for free, get reviews and corrections on it, test it and still get incentived with the $AVM tokens for using the platform. There will also be a futuristic ecosystem grant for developers to code and build on AVM. If you are a developer and you are still sleeping on AVM, you are missing out on a lot of fun, ease, and opportunity. Integrate AVM into your codes and watch the ease, speed, and accuracy that comes with it. Want to find your way around, visit the website 👇 avm.codes/ Other useful links to keep in touch with the AVM community and infrastructure updates 👇 linktr.ee/AVM_Codes That's all for now, see you on the next AVM issue'.

CodeAid: an LLM-based programming assistant for the classroom blog.adafruit.com/2024/05/29…

Yes, CodeAid is open-source: github.com/MajeedKazemi/code…

Read this blog post that summarizes our recent #CHI2024 paper about CodeAid, an LLM-powered coding assistant that avoids giving direct solutions to students: austinhenley.com/blog/codeai…

The important piece is that CodeAid doesn’t give students the solution. It provides pseudo code, retrieves documentation, annotates incorrect parts, and suggests next steps.

Checkout a list of accepted #CHI2024 papers from UofT DCS, including CodeAid!

We've made a dataset of ~7k student queries from CodeAid publicly available: huggingface.co/datasets/maje… 📊 Example use cases: - Automatically categorize student queries - Benchmark educational AI tools against real-world queries - Study the role and effectiveness of AI in CSEd

• Evaluated CodeAid in a large class of 700 students over 12 weeks. • Identified 9 common usage patterns and evaluated CodeAid's performance. • Conducted weekly surveys, interviews with 22 students and 8 educators, and compared CodeAid with ChatGPT and non-AI tools. 3/5

CodeAid was designed with "guradrails" to provide "scaffolded" LLM responses that do not directly reveal code solutions: • CodeAid answers conceptual questions. • Generates pseudo-code with on-hover explanations. • Annotates student's incorrect code with suggested fixes. 2/5

How can we design "pedagogical" LLM-powered coding assistants? Check out our conditionally accepted #CHI2024 paper, introducing CodeAid, its large classroom deployment, interviews with educators, and design implications for pedagogical AI assistants arxiv.org/abs/2401.11314 1/5

やっぱ「短い」方がいいのね:-) それはさておき、「ip」という名称はgo言語の教訓が活きてないような気がしないでもないwww RT: ifconfigとnetstatはipとssです – CodeAid-Lab（コードエイド・ラボ） codeaid.jp/blog/iproute2/

I want give a big thank you 4 the gift aid my favorite member of blizzard squad @usecodeaid #codeaid #blizzardsquad #neikosgamer

JavaScriptの仕様ES5以前とES2015(ES6)以降の違いの抑えるべき項目 – CodeAid-Lab（コードエイド・ラボ） codeaid.jp/js-es2015/

Visual Studio CodeでJupyter Notebookを使う方法 – CodeAid-Lab（コードエイド・ラボ） codeaid.jp/vscode-jupyter/

Thank you all for making this a success. This wouldn't have been possible without the amazing team! ❤️🚀 #CodeAid

As promised, here's a proof of our donation towards @Hemkunt_Fdn , thank you all for donating and making this event a success! 🙏🥳 P.S. We collected total 85k, from which 1.8k went for payment gateway charges. #CodeAid

Glad to be a part of this 🤟 We were able to contribute a significant amount to India's fight against Covid! #IndiaFightsCorona #IndiaFightsCOVID19 #CodeAid

Thanks @OnlyMaheswari for reaching out to me for great initiative 🙌🏻 Glad to be part it 🙏 #CodeAid #IndiaFightsCOVID19