NgoJulayi odlule, ngibhale i-athikili yobunjiniyela besofthiwe ingase ithintwa ukuhlanganiswa okwandayo kwamathuluzi omsizi wekhodi asekelwe ku-LLM. Ngeshwa kimi, ngangibhala leso sihloko ngokushesha ngemva kokukhululwa kokuqala okukhulu, okuthuthukisiwe kwe-Claude Code. Ngenkathi i-Claude Code yayikhona ngoFebhuwari 2024, kwaze kwaba ngoMeyi 2025 lapho yanwetshwa khona ukuze inikeze uhlobo lobuchwepheshe bekhodi esiza yona namanye amathuluzi omsizi wekhodi. Ngenxa yalokhu, imicabango yami kuleso sihloko ngempela ayizange icabangele ezinye zezinguquko esiye sazibona kusukela ngaleso sikhathi.
Manje sengizobheka kabusha isimo sokusetshenziswa kwamathuluzi ekhodi asekelwe ku-LLM futhi ngibone ukuthi sikuphi. Ikakhulukazi, ngifuna ukucabanga ngemithelela yalobu buchwepheshe endleleni esenza ngayo imisebenzi yethu kokubili manje nasesikhathini esizayo.
1. Ukusebenza
Yibuphi lobu bunzima engikhuluma ngabo? Nokho, ngisebenzise izixazululo ezimbalwa ezihlukene zomsizi wekhodi (Github Copilot, Claude Code) emsebenzini wami, futhi ngiye ngabonisana nonjiniyela besoftware abaye bazama abanye (I-Cursor, Replit, njll) futhi. Banamazinga ahlukahlukene wamandla, kodwa ezinye zezinto ezibalulekile zifaka:
- ukwazi ukufinyelela wonke amafayela kuphrojekthi yakho, useshe kuwo, futhi uhlaziye okuqukethwe kwawo ndawonye
- ukwazi ukubhala izingxenye ezibalulekile zekhodi noma amafayela aphelele kuphrojekthi yakho
- kusetshenziswa ama-LLM “okucabanga” ahlukanisa imisebenzi ibe yiziqephu futhi icubungulwe ngazinye, kuyilapho ilandisa ngokucutshungulwa kwalezo zingxenyana kumsebenzisi.
- amathuluzi e-ejenti, lapho amamodeli angabiza ngokuzimela isofthiwe ehlukene ukuze aqedele imisebenzi i-LLM engakwazi ukuyenza kahle (okuhlanganisa nokusesha iwebhu)
Akukho kulokhu okudinga ushintsho endleleni esiyiqonda ngayo i-LLM njengebhizinisi nesakhiwo sayo, kodwa sengeza izinto ku-LLM eyisisekelo enweba amanye amakhono ayo. I-LLM “yokubonisana” empeleni ihilela nje amasu ahlukene okwazisa, kanye nokwenza imicu eminingi yomsebenzi we-LLM wenziwe futhi uhlanganiswe ndawonye. Nakuba i-LLM iseyibhulokhi yokwakha efanayo, sizihlanganisa ngezindlela ezahlukene futhi sivumela izinhlelo zokusebenza ezihlukile, ngakho manje ziwusizo kakhulu futhi zisebenza ngempumelelo emsebenzini othize wokubhala ikhodi.
Lokhu akwenzelwe ukunciphisa ama-downside kulawa mathuluzi, noma kuma-LLM ngokuvamile. Ngike ngakhuluma ngezindlela eziningi ubuchwepheshe be-LLM bunokuvela ngaphandle okubi kakhulu. Kodwa angicabangi ukuthi singasho, endaweni encane yobunjiniyela besofthiwe, ukuthi lobu buchwepheshe abusebenzi. Ayiphelele, ngokusobala – ngisakhungatheka kakhulu uma ngibhala ikhodi futhi ngibuza umsizi wekhodi umbuzo futhi ihlanganisa yonke into – kodwa ubuchwepheshe esinabo namuhla buyakwazi ukwenza umsebenzi owusizo.
2. Indlela Abantu Abasabela Ngayo
Njengoba ngikhuluma nabangane esikhaleni sokufunda komshini kanye nobunjiniyela besofthiwe mayelana nalesi simo, ngizwa imibono embalwa eyahlukene. Abanye abantu bamukela ngentshiseko abasizi bekhodi ye-AI ngazo zonke izindlela abangakwazi ngazo. Bazonikeza ithuluzi ukwaziswa futhi balivumele ukuthi libhale ikhodi, futhi babuye kamuva ukuze babuyekeze, noma benze ithuluzi lizenzele isibuyekezo ngokwalo. Bazohlanganisa ama-LLM amaningi ukuze basebenzisane ezindabeni, babuyekeze umsebenzi womunye nomunye futhi bakhiqize amanani amakhulu ekhodi ngenkathi abantu belele. Lolu uhlobo lwalokho abafundi abangase bajwayele njengokuthi “i-vibe coding”. Kulaba bantu, ukukhululwa ekubhaleni ikhodi ngokwabo kuyinto enhle engahlanganisiwe, futhi bajatshuliswa ukwanda kokukhiqiza abangakuzuza. Ikhodi yokubhala, kubo, yayihlale iyindlela yokufinyelela isiphetho, futhi abanandaba nokukhipha lowo msebenzi. Bakhiqiza isofthiwe entsha ngesivinini esingakaze silindelwe ngaphambili, futhi ngokuvamile, ihlangabezana nezidingo zabo.
Ngakolunye uhlangothi, kukhona labo engicabanga ngabo “njengama-craftspeople”. Laba ngonjiniyela nonjiniyela abanothando lomsebenzi wokucabanga ngekhodi nekhodi yokubhala, futhi bajabulele uhambo njengendawo okuyiwa kuyo, uma kungenjalo. Kulaba bantu, ukuvela kwabasizi bekhodi ye-AI kubakhathaza kakhulu. Uma uwujabulela umsebenzi wakho ngoba udinga ukucabangela, ukusungula izinto, nokuqina, futhi ujabulela ukusebenza kanzima, kuyethusa ukubhekana nombono omusha ophakamisa ukuthi awekho kulawa makhono ohlangothini lwakho adingekayo noma afiselekayo. Abanye bonjiniyela be-software abanekhono nabanekhono kakhulu engibaziyo bake bakhuluma ngokufuna ukuyeka wonke umsebenzi kunokuba baphushelwe kumbono we-vibe-coding emsebenzini wabo wansuku zonke, lapho ukubuyekezwa kwekhodi yokwazisa nokufunda kuhlanganisa ingxenye enkulu yezibopho zabo.
Isiqephu sakamuva sika-Vicki Boykis sikhuluma ngalokhu ngokucabangisisa– iseluleko sakhe kulabo bethu abacindezelekile mayelana nesiqondiso senkambu yethu ukuthi siphindaphinde imizamo yethu yokuthola izindlela zokunwaya ukulunywa kokufuna ubuciko nokwenza incazelo emsebenzini wethu. Ngiyakuthokozela ukubaluleka kwakhe kulawa makhono nemizwa, kodwa kusikisela ukuthi naye akawuboni umsebenzi wangempela ogcina umlingiswa osemqoka esimjwayele.
Le thiyori iwuchungechunge, egcwele abantu abangase bajabulele ukubhala amakhodi kancane, kodwa balungile ngokunikeza iningi lalowo msebenzi, noma abantu abathanda ngempela ukubhala ikhodi, kodwa bayaqaphela ukuthi izingcindezi zebhizinisi zidinga ukuthi baguqule izinqubo zabo ukuze bafake i-AI eyengeziwe. Nomaphi lapho ufika khona, abaningi uma kungenjalo iningi lethu likhathazekile ngokuthi lolu shintsho luzoyithinta kanjani imisebenzi yethu namathemba emisebenzi, kanye nesimo somkhakha wobunjiniyela besoftware uwonke.
I-Seduction
Kodwa yini ngempela esibhekene nayo? Kunjani ukuhlala phansi phambi kwekhibhodi yakho bese uphenya i-IDE yakho kulesi sikhathi esisha? Kukhona okuthile okuyengayo ngokuba nethuluzi elincane ohlangothini lwesikrini sakho elingavele likuphathele umsebenzi.
Uyazi ukuthi umsizi angabhala umsebenzi olandelayo odinga ukuwengeza kukhodi yakho. Ngisho noma ungakaze uyisebenzise wena, uzwe ontanga yakho bekhuluma ngamakhono ayo. Futhi, yini embi, noma kunjalo? Kungani ungavele uye kumsizi wekhodi futhi wenze umsebenzi omncane?
Ungase ube nokukhathazeka ngokuvikeleka komsebenzi – ingabe uzophelelwa yisikhathi njengoba amathuluzi afana nalawa ekhulisa amandla awo noma sithola izindlela ezisebenza kahle kakhulu zokuwasebenzisa? Ingabe uzolahlekelwa amakhono owazuzile phakathi nomsebenzi wakho, njengoba uyeka ukuwasebenzisa nsuku zonke ukuze uvumele i-AI yenze imisebenzi? Akekho ongakutshela uma lokhu kuwukukhathazeka kwangempela, ngoba asazi ngokuqinisekile ukuthi indawo yokusebenza yonjiniyela bezinhlelo zokusebenza izovela kanjani ngokuhamba kwesikhathi.
Ungase futhi uyazi ngemithelela ebanzi ye-generative AI. Usho ngokungagunci, “lo msebenzi engidinga wenziwe ufanele izindleko ezingezinhle zalobu buchwepheshe.” Ngokukhetha ukuchofoza leyo nkinobho yengxoxo yomsizi wekhodi, unquma ukuthi icala lakho lokusebenzisa liwufanele ugesi. Lokhu kuwufanele ukusetshenziswa kwamanzi. Lokhu kufanelekile ukusekela nokuthuthukisa imboni kanye nobuchwepheshe, kwezinye izindawo, obubhekele imithelela emibi yezenhlalo, ezombusazwe, kanye namasiko. Uthi, “Ngicabanga ukuthi lokho kungifanele ukuthi ngithole ithuluzi lokubhala ikhodi engiyidingayo ukuze ngiqedele le phrojekthi.”
Kodwa noma ngabe unakho lokhu kuhwebelana kwakho, kusenzima. Uhlezi lapho ubheka ikhodi yakho, futhi ingxenye yakho ithi, “Ngingenza lokhu. Ngingabhala le ngxenye yale khodi. Ngiyazi ukuthi ubhalwa kanjani lo msebenzi.” Kodwa unalesi siphazamisi esincane, lokhu kuluma kusesimweni sewindi lengxoxo ohlangothini lwesikrini noma umyalo wetheminali olindile nje. “Kuzongithatha amahora angu-3 ukubhala leli klasi futhi ngilenze lisebenze futhi ngibhale izivivinyo. Kodwa ndoda, bengingavele ngiciphize leyo nkinobho. Leyo nkinobho ilapho nje. Cindezela leyo nkinobho, futhi lokhu kuzokwenziwa emizuzwini embalwa, bese ngidlulela kokulandelayo. Kungase kusebenze kangcono kunalokho ebengingakubhala. Umphathi wami uzojabula. Ngingaba ngenza inqubekelaphambili futhi ngenze umsebenzi, ngakho kungani ngingenzi ithuluzi elithi A I.
Kunezizathu eziningi zokuthi kungani ugxuma ekhanda lakho, ngoba uyazi ngezindleko zokusebenzisa lobu buchwepheshe, kodwa lokho kukhohlisa kusekhona. Ukulinganisa kuqala ngo – ungase uzibuze, “kahle, ingabe ukusebenzisa kwami okukodwa kwalokhu kwenza umehluko ngempela? Ngiwumsebenzisi oyedwa nje.” Lona umbuzo onengqondo okufanele uwubuze, kunjalo. Ungakanani umehluko ongenziwa ukwaziswa okukodwa? Ukwaziswa kwakho okukodwa akukona lokho kuningi kwensiza, futhi abanye emhlabeni wonke basebenzisa lobu buchwepheshe kakhulu emisebenzini engafaneleki kangako.
Ngakolunye uhlangothi, ukwaziswa okukodwa cishe akulokothi kube okukodwa – kuthiwani uma wehlela ezansi endaweni eshelelayo lapho lokhu kuba ingxenye evamile yomsebenzi wakho? Uma amakhono akho e-atrophy, ingabe lokho kuzokwenza uncike kakhulu ethuluzini?
Ingabe lokhu kukuwe ngempela? Ingabe kuzwakala sengathi ungaqhubeka nokusebenza kubunjiniyela besoftware futhi ungawatholi la mathuluzi? Kusobala ukuthi ukugcina ukukhiqiza nokuhambisana emsebenzini kudinga ukuthi uqhubeke usebenzisa amathuluzi omsizi wekhodi. Ingabe kuwumthwalo wakho siqu ukubamba igagasi lamathuluzi ekhodi ye-AI, phambi kwezixuku ezamukela ngokulangazela lobu buchwepheshe kuzo zonke izimo ezingase zisetshenziswe? Ekuhwebeni phakathi kokugwema okunezimiso kobuchwepheshe okunemiphumela emibi emphakathini, nokuqhubeka ukwazi ukondla umndeni wakho, yini okufanele umuntu ayenze? Kwabaningi bethu, ukusinda kwezinto ezibonakalayo kufanele kuphumelele.
3. Yini Manje?
Lesi sikhala somqondo siyindawo okunzima ukusebenza kuyo. Sibona ushintsho olukhulu endleleni umsebenzi wethu owenziwa ngayo, futhi ngamunye wethu unquma ukuthi uzivumelanisa kanjani nawo. Kwabaningi, kubacindezela ngokomzwelo ukubona inkundla ishintsha ngendlela emangalisayo, bebhekene nokungaqiniseki ngokuthi lokhu kusho ukuthini kithi nasemhlabeni osizungezile.
Okhokho bethu ezinsukwini zakuqala zohlelo lwekhompiyutha babecabanga ukuthi lo mkhakha wawuzobukeka kanjani esikhathini esizayo? Masithi, ngeminyaka yawo-1960, lapho abantu besebenzisa ama-mainframes amakhulu njengegumbi futhi bebhala ikhodi enamakhadi e-punch, babengakwazi yini ukubona ngeso lengqondo i-Python open source ecosystem? Lolu uhlobo lwendlela engicabanga ngayo ngezinga loshintsho okungenzeka lube khona kithi manje, futhi lungenzeka ngesivinini esisheshayo.
Abasizi bekhodi ye-AI babonakala belapha ukuze bahlale, ngandlela thize noma ngenye indlela. Ikusasa elikhudlwana lezomnotho labadlali abakhulu kuma-LLM lingase libe yingozi, ngenxa yezizathu engike ngabhala ngazo ngaphambili, kodwa lokho akusivimbeli ukuthi sifinyelele kwezinye izinhlobo zamathuluzi omsizi wekhodi, ngomthombo ovulekile we-LLM namathuluzi afana noma Uma amamodeli engakaze abe ngcono kunanamuhla, asazoba usizo ngokusebenza.
Imisebenzi yethu izoshintsha, ngoba la mathuluzi amasha ayatholakala, futhi kufanele sithole ukuthi sizothuthuka kanjani. Angikholwa ukuthi imisebenzi yethu izoshabalala, izoshintsha nje. Sesizojwayela ukusebenzisa abasizi be-AI ekubhaleni amakhodi, futhi kusazobonakala ukuthi ukusebenza kwansuku zonke kubukeka kanjani njengomphumela. Ingabe inertia yesikhungo izonciphisa inani loshintsho esilubonayo ezindaweni zethu zokusebenza? Ngabe isazoba khona yini indawo yokuqamba nobungcweti ekuthuthukisweni kwesoftware nokubhala amakhodi? Ezindaweni zokusebenza, abantu sebevele banikezwa ukubuyekezwa kokusebenza okusekelwe ekutheni basebenzisa i-AI ngokwanele ukujabulisa abaphathi, ngakho-ke asinaso isikhathi esiningi sokucabanga ngayo.
Ngokwezinga lomuntu siqu, sizobhekana kanjani nemithelela yokuziphatha yokubamba kwethu iqhaza kulo mkhakha, nezindlela ezishintsha ngayo? Akekho ongakuphendulela lokho, kunjalo. Abanye abantu bangase bayeke futhi bashintshe imisebenzi, kanti abanye bazothola indlela yokuphila ne-paradigm entsha.
Sisesibophweni esithile phakathi kwalokho umnotho nezimo eziphathekayo ezikulindele noma ezikufunayo kithi, kanye nemithelela yesimilo yalezo zimfuno. Iningi lethu lidinga ukondla imindeni yethu futhi alikho esimweni sokwenqaba ukulalela. Ngicabanga ukuthi abaningi bethu kuzofanele babhekane nokungaboni ngaso linye mayelana nalezi zinhlangothi zombili.
Ukuqaphela kanye nokwazi ngezindleko zesistimu yethu kubalulekile, noma ngabe zisibangela ukungakhululeki. Ukwenza sengathi izinkinga nge-AI yokukhiqiza azikho akusona isixazululo. Njengoba ososayensi bezenhlalo bazi, ukuphenya ngokwethembeka amandla, amaphutha, kanye nezakhiwo zamandla ohlelo esizithola sikulo kuyisidingo sokuqala sokuthuthukisa lolo hlelo, kodwa ngokwandayo. Asikwazi ukubuyisela i-genie ye-AI ebhodleleni, kodwa futhi akudingekile ukuthi samukele isimo esibi kakhulu emiphumeleni yezenhlalo, yamasiko, yezemvelo, nepolitiki. Ushintsho lwesakhiwo, hhayi ukukhetha komuntu ngamunye, iyona ndlela kuphela yokuthuthukisa amasistimu ngokuphusile, futhi uma sazisiwe ngezinkinga zokuziphatha singabamba iqhaza ekuphusheni kwesistimu okuya ekuthuthukisweni.
Funda kabanzi ngomsebenzi wami ku-www.stephaniekirmer.com. Ngikhuluma futhi e-ODSC East ekupheleni kuka-April 2026, ngesihloko samasu okuhlola okuthuthukiswa kwe-LLM.
