Ntchito Yanu Yatsopano Ndi Yopangira Othandizira AI: Momwe Makampani Amtundu Wa AI Amagwirira Ntchito

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Okondedwa olembetsa, ndakhala miyezi ingapo yapitayo ndikufunsa atsogoleri kumakampani amtundu wa AI. Tsopano ndikukhulupirira kuti:Kukwera ndi kuyang'anira ma AI NDI ntchito, ziribe kanthu kuti ntchito yanu ndi yotani.Mukudumphira mwakuya kwaulere, ndikufuna kugawana momwe makampani atatu amtundu wa AI -Linear, Ramp, ndi Factory - amagwiritsira ntchito mfundoyi. Nawa mawu ena ochokera kwa aliyense: Nan Yu (Mtsogoleri wa Zogulitsa, Linear): "Mudzakhala ndi mamembala a gulu la AI omwe mungawagawire ntchito ndikulankhula nawo monga momwe mumalankhulira ndi anthu." Geoff Charles (CPO, Ramp): "Ngati simukugwiritsa ntchito Claude Code, ziribe kanthu kuti muli ndi udindo wotani, mwina simukuchita bwino." Eno Reyes Ukadaulo Woyang'anira (CTO, Data Management, CTO): kusanthula, ndi zina zambiri za luso logwiritsanso ntchito lomwe wogwira ntchito aliyense angagwiritse ntchito." Werengani kuti muwone mkati momwe kampani iliyonse ya AI imagwirira ntchito. Nan (Linear's Head of Product) amakhulupirira kuti:Agent ayenera kukhala antchito apamwamba. Muyenera kuwawonjezera ku mapulojekiti, kuwagawira ku nkhani, ndi kutchula mu ndemanga. Umu ndi momwe Linear amapangira zinthu ndi othandizira pagawo lililonse: Mvetsetsani vuto. Agents amawerenga ndi kufotokoza mwachidule zokambirana zonse zamakasitomala kuchokera ku Intercom, Zendesk, ndi Gong. Amadzipangira okha zovuta, kuzichotsa motsutsana ndi zomwe zidatsalira, ndikuzipereka ku gulu loyenera. Dziwani njira yothetsera vutoli. Popeza wothandizira ali ndi mwayi wokambirana ndi makasitomala, atha kukuthandizani kuti muwerengenso zina mwa kukoka zidziwitso zochokera kumayendedwe angapo. Pangani dongosolo. Agents amatha kuphwanya matikiti anu kukhala matikiti a konkriti ndikuwapititsa kumagulu oyenera okha. Ku Linear, othandizira tsopano amapanga matikiti ambiri. Ntchito ya munthu ndikuwunikanso ntchito yawo ndikusintha zomwe zikuchitika pakapita nthawi.Execute. Nsikidzi ndi zing'onozing'ono zimaperekedwa mwachindunji kwa othandizira ngati Codex ndi Cursor. Pazinthu zovuta, mainjiniya amakhazikitsa Claude Code ndikugwiritsa ntchito Linear MCP kuti afotokoze nkhani yonse.Kuchokera ku Nan: Zikumveka ngati kuchuluka kwa zomwe othandizira angakwanitse kukukulira kotala lililonse. Zitsanzo zatsopano ndi zomangira zikukankhira malire kuchokera ku kukonza kosavuta kupita kuzinthu zovuta kwambiri. Mukufuna kumanga ndi othandizira ngati Linear? Nawa njira zinayi zomwe Nan adagawana pazomwe gulu lanu lingachite lero:Wopanga aliyense ayenera kusanja ku chida chotsogola. Ili ndiye gawo loyamba losavuta. Perekani chida chovomerezeka (Cursor, Claude Code, kapena Codex) ndikuwongolera kuti muwone kugwiritsa ntchito.Supplement ndi async cloud coding agent. Othandizira akumbuyo a Async amatha kuwombera zosintha zazing'ono kwambiri ndikukonza zolakwika. Cursor ndi Devin ali ndi zopereka zabwino pano.Kuumirira kuti opanga ndi ma PM amagwira ntchito mwachindunji pa codebase. Othandizira ngati Claude amatsegula njira yotsika yotsika kwa ma PM ndi opanga kuti asinthe mwachindunji mu codebase. Aliyense ayenera kuyesetsa kukhala builder.PMs ndi otsatsa ayenera kusasintha mawonekedwe AI. Ntchitozi ziyenera kukhala zikuchita 80-100% ya ntchito yawo kudzera pamacheza - kaya ndi Claude, ChatGPT, Notion AI, kapena zina zofananira. Nan akuwona tsogolo lomwe anthu adzagwirizana ndi othandizira pamlingo wodziwika - kufotokozera zomwe ziyenera kumangidwa komanso chifukwa chake - ndikupereka zinthu kwa othandizira kuti agwire chilichonse chakunsi kwa mtsinje. 2025, Ramp inatumiza zinthu za 500+, inafikira $ 1B ndalama, ndipo anachita zonse ndi 25 PMs. Iwo anachita izi pofuna ntchito iliyonse (eng, mankhwala, mapangidwe, malonda, malonda, malamulo, ndalama) kuti agwire ntchito ndi othandizira. Anthu awa sangakhale pakampani nthawi yayitali. Ngati simuli wodziyambitsa nokha ndi malingaliro akukula ku zida za AI, Geoff akunena kuti zidzakhala zovuta kwambiri kukuphunzitsani kuti mupambane. Anthuwa akuyesa AI koma sanagwiritsebe ntchito zenizeni.L2: Amapanga pulogalamu yomwe imagwiritsa ntchito gawo lawontchito. Anthuwa amatha kupanga ma code kapena kupereka ndemanga zomveka pa ntchito za anthu ena pogwiritsa ntchito zida za AI.L3: Omanga machitidwe. Anthuwa akumanga maziko a AI ndi luso lomwe limathandizira wina aliyense pagululi.Cholinga cha kampani ndikukankhira aliyense pamwamba pa makwerero. L0s kusankha nokha. L1s kukhala L2s. L2s kukhala L3s. Ndipo ma L3 amakhudza gulu lonse. Geoff adagawananso njira zisanu zomwe kampani iliyonse ingatenge kuti akhale mbadwa ya AI: Chotsani mikangano yonse. Perekani mwayi kwa zida zodziwika za AI popanda zopinga pa ma tokeni kapena bajeti ndikupanga nkhokwe yamkati yamaluso a AI omwe aliyense angakokeko. Ngati kukhazikitsidwa kuli kovuta, anthu ambiri sangatengere.Pangani kukhazikitsidwa kuwonekere. Pangani mayendedwe apagulu a Slack komwe anthu angagawane zomwe adapanga. Ponseponse, onetsani osakhala mainjiniya omwe akuchita zinthu zochititsa chidwi, monga ndalama zomanga chuma chamtengo wapatali kapena kutsatsa tsamba lawebusayiti. Perekani chithandizo chothandizira. Maola ogwira ntchito omwe aliyense angagwirizane nawo kuti apange luso la AI ndi kayendedwe ka ntchito. Tasankha akatswiri a AI omwe ntchito yawo yonse ndi kulalikira, kukhazikitsa anthu, ndi kuwathandiza kuti afikire "kanthawi kochepa." Tsatani kagwiritsidwe ntchito ndi kulowererapo. Ramp imatsata kugwiritsa ntchito ma tokeni pazida za AI pa wogwira ntchito aliyense. Utsogoleri umagawana izi kuti upangitse kuyankha kwachilengedwe ndikulowa pamene kugwiritsidwa ntchito kwa wina kuli kochepa. Zoyankhulana za PM tsopano zikuphatikiza gawo lodzipereka komwe muyenera kupanga chinthu chogwira ntchito ndikufotokozera chifukwa chake mudachimanga komanso momwe chimagwirira ntchito. Geoff adafotokoza mwachidule nzeru zake za utsogoleri pa gawo lililonse pa Ramp mumzere umodzi: Ntchito yanu ndikusintha ntchito yanu. Kuchokera ku Geoff: "Ndikauza gulu langa maulendo 10 kuti CTA ikuyenera kukhala pamwamba pa khola, kukonza sikukunena nthawi ya 11. Ndikulemba ndemangazo muzojambula zodzipangira zokha kapena tsiku limodzi lodziwika bwino: Ngati AI idzachitikanso tsiku limodzi ndi luso lamakono." Ramp ikuwonetsa momwe makampani amatengera othandizira a AI, Fakitale ikuwonetsa zomwe zimachitika mukamanga mozungulira kuyambira tsiku loyamba. Factory ndi kampani yopanga mapulogalamu a AI ya anthu 55 yamtengo wapatali $300M yomwe idapangidwa mozungulira AI kuyambira pansi. Izi ndi zomwe zimawapangitsa kukhala osiyana: Kulemba ntchito mainjiniyaFactory salemba ganyu ma PM ndi mainjiniya padera. M'malo mwake, amalemba ntchito akatswiri opanga zinthu omwe amawongolera ndikugwira ntchito ndi othandizira a AI. Tsiku lodziwika bwino limawoneka ngati: Yang'anani zotsatizana kuchokera kwa wothandizira kuti muwone komwe makina adapanga zisankho zolakwika. Lembani zokonza osati monga ma code, koma monga ulamuliro (mwachitsanzo, kusintha kwa luso, lamulo latsopano la lint, kapena makina opangidwa bwino)Unikaninso ma PRs omwe othandizira amawonetsa kuti ali pachiwopsezo chachikulu (othandizira amasamalira ena onse). Onetsani malingaliro atsopano ndikuyika patsogolo mkangano ndi anzanu ndi AI. Ntchitoyi si yophweka ndipo imafuna ukatswiri wozama, koma chosowa chanu chachikulu ndichofunikira. codebase amatha kugwira ntchito kuti akhale ogwira mtima. Fakitale imapeza ma codebase pamilingo isanu yakukhwima, ndipo Gawo 3 ("Yokhazikika") ndipamene magulu ambiri amayenera kukhala ndi cholinga choyamba.Factory's ready framework's Factory readiness framework to reusable skills Fakitale imagwiritsa ntchito luso kuyika chidziwitso cha akatswiri ndi kampani kukhala chinthu chomwe wothandizira kapena wogwira ntchito aliyense angagwiritse ntchito. Nayi mndandanda wamaluso omwe Factory imagwiritsa ntchito mkati ndikulumikizana ndi mafayilo awo kuti mukopere ndikusintha: Luso loyang'anira zinthu. Mfundo zamalonda, ndondomeko ya zochitika za nyenyezi 11 (zobwerekedwa kwa Brian Chesky wa Airbnb), template ya PRD, rubriki ya zigoli, ndi chitsogozo cha chinenero zonse mu fayilo imodzi. Imalangiza Droid za momwe angapangire zinthu pogwiritsa ntchito njira yopangira Factory, mayendedwe apanjira, ndi miyezo yoyesera.Luso lowunikira deta. Thamangani zowunikira, pangani zowonera, ndikupanga malipoti owerengera pogwiritsa ntchito Python ecosystem.Luso la zida zamkati. Mangani mapanelo a admin, zotonthoza zothandizira, ndi ma dashboards ogwirira ntchito okhala ndi zowongolera zolowera zolowera ndikudula mitengo yowotchera mu.Vibe. Onetsani mwachangu mapulogalamu atsopano apaintaneti kuyambira koyambira ndi madongosolo amakono.Ngati mutha kuyika maluso omwe anthu omwe mumadziwa bwino kwambiri, simukufunika kulemba ganyu akatswiri pa ntchito iliyonse.Masitepe 6 oti mugwiritse ntchito zonseziKubwereza: Oyang'anira ndi oyang'anira akukhala ntchito yofunika kwambiri pantchito iliyonse.Nazi zinthu zisanu ndi chimodzi zomwe mungagwiritse ntchito pompano:KuchokeraLinear:Kufikira kwa wopanga aliyense kukhala chida cholembera ngati Cursor, Claude Code, kapena Codex. Pezani ma PM ndi opanga mu codebase. Aloleni apereke ma PR ndi kutumiza ma code pogwiritsa ntchito othandizira. Lekani kuwongolera kusintha kwakung'ono kulikonse kudzera mwa injiniya.Kuchokera ku Ramp:Yesani luso la AI pagulu lanu lonse. Magawo 4 a Ramp amakupatsirani mawu ogawana komwe anthu ali komanso komwe akuyenera kupita. Tsatirani kugwiritsidwa ntchito kwa AI ndikupangitsa kukhala gawo lazoyembekeza zogwira ntchito. Simungathe kukonza zomwe simukuyesa, ndipo zolimbikitsa ndizofunikira. Kuchokera ku Factory: Onetsani codebase yanu kuti mukonzekere wothandizira. Gwiritsani ntchito magawo okonzekera a Factory kuti mumvetsetse ngati codebase yanu yakonzeka.Konzani luso la gulu lanu kukhala luso lotha kugwiritsidwanso ntchito. Lembani zomwe anthu anu abwino amadziwa mu mafayilo aluso ndikupangitsa kuti zikhale zosavuta kwa anthu ndi othandizira kuti azigwiritsa ntchito. Koposa zonse, othandizira omwe ali m'bwalo ngati mungakwere munthu. Apatseni nkhani, alumikizitseni ku ntchito yanu, ndipo sungani munthu ayankhe pazotsatira zawo. Ndidziwitseni zomwe mukuganiza mu ndemanga!

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