[{"data":1,"prerenderedAt":159},["ShallowReactive",2],{"project-37133444":3},{"id":4,"name":5,"line":6,"line_source":7,"title":8,"url":9,"domain":10,"maker":11,"posted_at":12,"year":13,"points":14,"comments":15,"rank_in_year":16,"shown_in_year":17,"top":18,"tier":19,"category":20,"subcategory":21,"format":22,"keywords":23,"reception":28,"sentiment":29,"stance_mix":30,"scored_comments":32,"aspects":33,"strip":36,"post_text":38,"what":39,"said":65,"maker_in_thread":98,"shape":106,"grid":109,"attempts":122,"same_week":123,"maker_shows":15,"maker_hidden":152,"reader_version":153,"card":154},"37133444","10x-React-Engineer","10x-React-Engineer, Generate Entire React Codebases with Llama 2","title","Show HN: 10x-React-Engineer, Generate Entire React Codebases with Llama 2","https:\u002F\u002Fgithub.com\u002Fjawerty\u002F10x-React-Engineer","github.com","jawerty",1692104515,2023,13,5,2112,3109,68,"shown","ai","code generation agent","other",[24,25,26,27],"llama 2","react code generator","ai coding agent","llm","quiet",null,{"positive":31,"neutral":32,"mixed":31,"critical":31},0,2,{"idea":34,"docs":35},{"positive":31,"critical":31},{"positive":31,"critical":31},[37,31,31,37,31],3,"Hi HN,\n\nYesterday I live streamed myself for 6 hours building this from scratch. It’s an AI agent that uses Llama 2 (so far the 13b chat model) to generate a full react codebase from a single prompt. It had a “dev loop” that iterates on your feedback and resolves dependencies.\n\nIn the end it kinda worked and I got excited so wanted to post here haha. Long story short a viewer on my discord suggested I build in of these and I just had to look into how these work (inspired by GPT Engineer and AutoGPT)\n\nI wanted to work on a more specific downstream task so I focused on web dev. Llama 2 isn’t the",{"problem":40,"audience":29,"pricing":29,"motivation":46,"time_to_build":50,"stack":54,"openness":63,"stage":64,"team_size":63},{"value":41,"source":42,"evidence":43},"Generating a full React codebase from a single prompt","maker",[44],{"id":45},"post",{"value":47,"source":42,"evidence":48},"Inspired by GPT Engineer and AutoGPT; a viewer suggested the idea",[49],{"id":45},{"value":51,"source":42,"evidence":52},"Built in a 6-hour livestream",[53],{"id":45},[55,59],{"value":56,"source":42,"evidence":57},"Llama 2 (13b chat model)",[58],{"id":45},{"value":60,"source":42,"evidence":61},"React",[62],{"id":45},"unknown","prototype",{"praise":66,"objections":67,"requests":68,"questions":84,"alternatives":89},[],[],[69,77],{"value":70,"source":71,"evidence":72},"Support for React Native","commenter",[73],{"id":74,"by":75,"text":76},"37134848","mcbuckeye","Very cool! Can this be used for React Native as well? Also, I have a live App Store\u002FGoogle Play app written in React Native that was developed a few years ago by an outsourced…",{"value":78,"source":71,"evidence":79},"Share a git repo of the generated React app",[80],{"id":81,"by":82,"text":83},"37134385","hu3","Nice. Could you share a Git repo with the result React app?",[85],{"value":86,"source":71,"evidence":87},"Can an LLM read a whole existing codebase to fix bugs and add features?",[88],{"id":74,"by":75,"text":76},[90,94],{"value":91,"source":42,"evidence":92},"GPT Engineer",[93],{"id":45},{"value":95,"source":42,"evidence":96},"AutoGPT",[97],{"id":45},{"comments":32,"answered":32,"key":99},[100,103],{"id":101,"text":102},"37135183","I have a part of the “dev loop” here that reads each file and “fixes it” based on user instruction. Look at the modification prompt I have. It certainly needs work however I…",{"id":104,"text":105},"37134495","Yes I’ll update the fit repo asap with some working examples I’ll add that to the todo",{"commenters":37,"max_depth":37,"maker_replies":32,"first_comment_mins":107,"lifespan_hours":108},83,7,[110,112,115,118,120],[74,31,37,111,75,31],"project\u002Fneutral\u002Fidea",[101,31,31,113,11,114],"maker\u002Fneutral\u002Fexecution",1,[116,31,31,117,75,31],"37138393","commenter\u002Fneutral\u002Fnone",[81,114,37,119,82,31],"project\u002Fneutral\u002Fdocs",[104,114,31,121,11,114],"maker\u002Fneutral\u002Fdocs",[],[124,128,133,138,142,147],{"id":125,"name":126,"points":127,"category":20},"37125118","Outlines",854,{"id":129,"name":130,"points":131,"category":132},"37119942","Little Rat",555,"security_privacy",{"id":134,"name":135,"points":136,"category":137},"37083309","OFRAK Tetris",472,"games",{"id":139,"name":140,"points":141,"category":20},"37128293","AI-town",429,{"id":143,"name":144,"points":145,"category":146},"37114141","learndb-py",371,"learning_science",{"id":148,"name":149,"points":150,"category":151},"37075730","Applite",280,"dev_tools",false,"v2",{"id":155,"name":5,"line":6,"ai":152,"cat":20,"year":13,"points":14,"comments":15,"rec":28,"s":29,"top":18,"kw":156,"maker":11,"domain":10,"tier":19,"attempts":31,"strip":157,"url":9,"mix":158,"praise":-1,"objection":-1,"sub":21},37133444,[24,25,26,27],"30030",[31,32,31,31],1793991071869]