[{"data":1,"prerenderedAt":156},["ShallowReactive",2],{"project-49550931":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":31,"aspects":33,"strip":35,"post_text":37,"what":38,"said":76,"maker_in_thread":106,"shape":111,"grid":113,"attempts":118,"same_week":119,"maker_shows":148,"maker_hidden":149,"reader_version":150,"card":151},"49550931","Ardent","A code-first agent for non-engineering work","title","Show HN: Ardent, a code-first agent for non-engineering work","https:\u002F\u002Fardent.ai\u002F","ardent.ai","nkohari",1788447684,2026,10,2,3079,4366,71,"shown","ai","agent harness","desktop_app",[24,25,26,21,27],"ai agent","code generation","mcp alternative","deno sandbox","quiet",null,{"positive":31,"neutral":32,"mixed":32,"critical":32},1,0,{"design":34},{"positive":31,"critical":32},[36,32],5,"I’m Nate, the founder of Ardent. We just shipped our public beta, and we’d love your thoughts!\n\nArdent is an agent running in a desktop (Electron) app built to help with knowledge work, designed for less-technical people outside engineering. Think Codex or Claude Cowork, but built around collaboration and customization.\n\nI know, I know, it’s yet another agent harness! Ardent is a little different – it leans heavily on codegen to solve problems. Most agents are basically just a bag of tools and a while loop, but Ardent writes code to complete tasks, making it much faster and more token-efficien",{"problem":39,"audience":45,"pricing":49,"motivation":53,"time_to_build":29,"stack":57,"openness":74,"stage":75,"team_size":74},{"value":40,"source":41,"evidence":42},"Helps less-technical knowledge workers complete tasks with an agent that writes code, which is faster and more token-efficient than tool-calling loops","maker",[43],{"id":44},"post",{"value":46,"source":41,"evidence":47},"Less-technical people outside engineering doing knowledge work",[48],{"id":44},{"value":50,"source":41,"evidence":51},"Inference sold at cost during beta, with free credits per organization",[52],{"id":44},{"value":54,"source":41,"evidence":55},"Lots of companies build their own agent harness, and the harness matters for agent capability; Ardent offers a customizable one",[56],{"id":44},[58,62,66,70],{"value":59,"source":41,"evidence":60},"Electron",[61],{"id":44},{"value":63,"source":41,"evidence":64},"Deno sandbox",[65],{"id":44},{"value":67,"source":41,"evidence":68},"TypeScript",[69],{"id":44},{"value":71,"source":41,"evidence":72},"Open weight models such as Kimi and GLM",[73],{"id":44},"unknown","beta",{"praise":77,"objections":86,"requests":87,"questions":92,"alternatives":93},[78],{"value":79,"source":80,"evidence":81},"Website looks clean and the commenter plans to try it","commenter",[82],{"id":83,"by":84,"text":85},"49551403","practicalsystem","website is clean, definitely going to check this out, is there a beta signup list for windows?",[],[88],{"value":89,"source":80,"evidence":90},"Windows version and beta signup list",[91],{"id":83,"by":84,"text":85},[],[94,98,102],{"value":95,"source":41,"evidence":96},"Codex",[97],{"id":44},{"value":99,"source":41,"evidence":100},"Claude Cowork",[101],{"id":44},{"value":103,"source":41,"evidence":104},"Cloudflare code mode",[105],{"id":44},{"comments":31,"answered":31,"key":107},[108],{"id":109,"text":110},"49551459","Not yet, sorry. We're still gauging interest on Windows to figure out when to prioritize. We're definitely planning to ship it, just not sure when.",{"commenters":15,"max_depth":15,"maker_replies":31,"first_comment_mins":112,"lifespan_hours":32},17,[114,116],[83,32,36,115,84,32],"project\u002Fpositive\u002Fdesign",[109,32,32,117,11,31],"maker\u002Fneutral\u002Fnone",[],[120,125,130,134,139,143],{"id":121,"name":122,"points":123,"category":124},"49567437","OpenTrailPaper",424,"hardware",{"id":126,"name":127,"points":128,"category":129},"49610059","Copperhead",250,"dev_tools",{"id":131,"name":132,"points":133,"category":129},"49562219","TERMy",225,{"id":135,"name":136,"points":137,"category":138},"49603546","Stuxnet",179,"security_privacy",{"id":140,"name":141,"points":142,"category":20},"49613068","LLM Attention Visualization",177,{"id":144,"name":145,"points":146,"category":147},"49623398","Fast Polynomials",139,"learning_science",3,false,"v2",{"id":152,"name":5,"line":6,"ai":149,"cat":20,"year":13,"points":14,"comments":15,"rec":28,"s":29,"top":18,"kw":153,"maker":11,"domain":10,"tier":19,"attempts":32,"strip":154,"url":9,"mix":155,"praise":79,"objection":-1,"sub":21},49550931,[24,25,26,21,27],"50",[31,32,32,32],1794036709374]