Uhlolojikelele
I-Augment Code iyinkundla yokubhala ikhodi ye-AI eyakhelwe ngokukhethekile izisekelo ezinkulu, zomhlaba wangempela, hhayi amademo amathoyizi. Isebenzisa ukubuyiswa kokuqukethwe okujulile ukuze iziphakamiso zayo ziqonde yonke inqolobane yakho, okuncikile kwakho, nezimiso zethimba lakho.
I-Augment Code iqondwa kangcono kumongo wesu, ukufinyelela imodeli, izinqumo zeplathifomu, nobambiswano lwe-ecosystem.
I-Deep Dive
I-Augment Code yinkampani yamathuluzi kanjiniyela umkhiqizo wayo oyinhloko ungumsizi we-AI oxhuma kubahleli abafana ne-VS Code, i-JetBrains IDEs, ne-Vim, kanye ne-Slack. Umahluko wayo Injini Yokuqukethwe: esikhundleni sokubheka ifayela olivulile kuphela, ikhomba yonke i-codebase yakho, okuhlanganisa nezigidi zemigqa, futhi ithola izingcezu ezifanele kakhulu ngaphambi kokuphendula. Lokhu kubalulekile ngoba izindawo ezinkulu zebhizinisi kulapho ama-chatbot ajwayelekile ehluleka khona, amagama emisebenzi akhohlisayo angekho noma ukuziba amaphethini angaphakathi. I-Augment inikeza ingxoxo, ukuqedela okusemgqeni, kanye ne-ejenti ezimele ekwazi ukuhlela nokuhlela kuwo wonke amafayela amaningi. Le nkampani igcizelele ukuphepha kwebhizinisi, okuhlanganisa ukuthobela kwe-SOC 2 kanye nenqubomgomo yokungawaqeqeshi amamodeli ayo ayisisekelo ngekhodi yekhasimende, ebhekana nokukhathazeka okuphezulu kwezinhlangano zobunjiniyela.
I-Technical Insight
Inhliziyo ye-Augment iyisizukulwane sokubuyiswa-esithuthukisiwe esivulelwe ikhodi. Yakha inkomba ebuyekezwa ngokuqhubekayo yendawo yakho yokugcina, bese ngesikhathi sombuzo isebenzisa ukusesha kwe-semantic kanye nesakhiwo ukuze idonse amazwibela, thayipha izincazelo, futhi ushayele amasayithi afanele kakhulu esicelweni sakho. Lawo mazwibela apakishwe efasiteleni lokuqukethwe lemodeli eduze nokwaziswa kwakho. Lokhu kugcina iziphakamiso zisekelwe kuma-API angempela akhona ku-codebase yakho kuneziqalo ezizwakalayo ezizwakalayo, futhi kuvumela i-ejenti ukuthi icabange amafayela engazange iwabone evuliwe.
I-Mastering Augment Code
I-Augment Code iyinkundla yokubhala ikhodi ye-AI eyakhelwe ngokukhethekile izisekelo ezinkulu, zomhlaba wangempela, hhayi amademo amathoyizi. Isebenzisa ukubuyiswa kokuqukethwe okujulile ukuze iziphakamiso zayo ziqonde yonke inqolobane yakho, okuncikile kwakho, nezimiso zethimba lakho. I-Augment Code iqondwa kangcono kumongo wesu, ukufinyelela imodeli, izinqumo zeplathifomu, nobambiswano lwe-ecosystem. Ukuze wakhe ukuqonda okujulile, phatha I-Augment Code njengemodeli yokusebenza, hhayi isici esisodwa: chaza imiphumela efiselekayo, ucacise ukucabanga, futhi uhlukanise lokho isistimu engakwenza ngokwethembeka kulokho okusadinga ukwahlulela kochwepheshe.
Empeleni, amaqembu aqinile asebenzisa I-Augment Code ahlola isu lomthengisi, ukwethembeka kwemephu yomgwaqo, kanye nobungozi bokukhiya ngaphambi kokwenza. Babhala imibandela yempumelelo ecacile, ukuhlola okuqhathaniswa nedatha engokoqobo nokugeleza komsebenzi, futhi baphindaphinde ngokusekelwe kumaphethini okuhluleka aqashiwe esikhundleni sokuwina kwebhentshimakhi yesikhathi esisodwa. Yilapho ukuqonda kwethiyori kuguquka kube amandla ahlala njalo kuwo wonke umkhiqizo, inqubomgomo, kanye nokusebenza.
Imephu yemigwaqo yabathengisi ithonya izici ithimba lakho elingazakha ngokulandelayo. Ngesikhathi esifanayo, izimemezelo Zokuqalisa zingase zidlule ukuzinza ekusebenzeni kwangempela kokukhiqiza. Indlela eqine kakhulu iwukuhlanganisa isivinini sokuhlola nesiyalo sokuphatha: qhuba abashayeli bezindiza, bamba ubufakazi, ushicilele amalogi ezinqumo, futhi ubuyekeze izivikelo ngokuqhubekayo njengoba imodeli yokuziphatha, okulindelwe ngabasebenzisi, kanye nezimfuneko zokulawula zishintsha.
I-Strategic Impact
Imephu yemigwaqo yabathengisi ithonya izici ithimba lakho elingazakha ngokulandelayo.
Imephu yemigwaqo yabathengisi ithonya izici ithimba lakho elingazakha ngokulandelayo. Ekusetshenzisweni kwekhwalithi ephezulu, lokhu kuhunyushwa emithethweni yokusebenza elinganisekayo, imingcele yobunikazi, nemikhuba yokubuyekeza ephindelelayo ukuze amaqembu akwazi ukukala ukuzethemba esikhundleni sokukala ukungaqondakali.
Imigomo yezohwebo nezinketho zokuthunyelwa zithinta izindleko zesikhathi eside nobungozi.
Imigomo yezohwebo nezinketho zokuthunyelwa zithinta izindleko zesikhathi eside nobungozi. Ekusetshenzisweni kwekhwalithi ephezulu, lokhu kuhunyushwa emithethweni yokusebenza elinganisekayo, imingcele yobunikazi, nemikhuba yokubuyekeza ephindelelayo ukuze amaqembu akwazi ukukala ukuzethemba esikhundleni sokukala ukungaqondakali.
Izinxephezelo zenkampani zibumba okuzenzakalelayo kwemikhiqizo, ukuma kokuphepha, nokuvuleleka.
Izinxephezelo zenkampani zibumba okuzenzakalelayo kwemikhiqizo, ukuma kokuphepha, nokuvuleleka. Ekusetshenzisweni kwekhwalithi ephezulu, lokhu kuhunyushwa emithethweni yokusebenza elinganisekayo, imingcele yobunikazi, nemikhuba yokubuyekeza ephindelelayo ukuze amaqembu akwazi ukukala ukuzethemba esikhundleni sokukala ukungaqondakali.
Ukuqaliswa Komhlaba Wangempela
Unjiniyela omusha ojoyina i-monorepo yemigqa eyisigidi ucela i-Augment ukuthi ichaze ukuthi isevisi yokukhokha iqinisekisa kanjani izicelo futhi ithola impendulo esekelwe kukhodi yangempela.
Unjiniyela usebenzisa ukuqedela okusemgqeni okubiza ngendlela efanele insiza yokungena yeqembu yangaphakathi esikhundleni se-generic console.log ngoba injini yomongo iyayazi ingqungquthela.
Unjiniyela unikeza i-Augment agent ithikithi lesiphazamisi futhi ihlela amafayela ambalwa, ibuyekeze ukuhlolwa okuthintekile, futhi iphakamise ukulungiswa kuyo yonke i-codebase.
Ithimba lisebenzisa ukuhlanganiswa kwe-Slack ukuze libuze imibuzo ngenqolobane yalo ngaphandle kokuvula i-IDE, lithola izimpendulo eziqaphela umongo phakathi nesigameko.
Amaphethini Okusebenzisa
I-Augment Code in practice
Unjiniyela omusha ojoyina i-monorepo yemigqa eyisigidi ucela i-Augment ukuthi ichaze ukuthi isevisi yokukhokha iqinisekisa kanjani izicelo futhi ithola impendulo esekelwe kukhodi yangempela.
Unjiniyela omusha ojoyina i-monorepo yemigqa eyisigidi ucela i-Augment ukuthi ichaze ukuthi isevisi yokukhokha iqinisekisa kanjani izicelo futhi ithola impendulo esekelwe kukhodi yangempela Amathimba ngokuvamile athola imiphumela engcono uma echaza imingcele yekhwalithi ngaphambili, egcina indlela yokukhuphuka kwabantu yamacala asemaphethelweni, futhi alandelele kokubili izinzuzo zokukhiqiza nezindleko zamaphutha ngokuhamba kwesikhathi.
I-Augment Code in practice
Unjiniyela usebenzisa ukuqedela okusemgqeni okubiza ngendlela efanele insiza yokungena yeqembu yangaphakathi esikhundleni se-generic console.log ngoba injini yomongo iyayazi ingqungquthela.
Unjiniyela usebenzisa ukuqedela okusemgqeni okubiza ngendlela efanele insiza yeqembu yokugawulwa kwemithi esikhundleni se-generic console.log ngoba injini yomongo iyazi ukuthi Amaqembu engqungquthela ngokuvamile athola imiphumela engcono uma echaza izilinganiso zekhwalithi ngaphambili, agcina indlela yokukhuphuka yabantu yamakesi asemaphethelweni, futhi alandelele kokubili izinzuzo zokukhiqiza nezindleko zamaphutha ngokuhamba kwesikhathi.
I-Augment Code in practice
Unjiniyela unikeza i-Augment agent ithikithi lesiphazamisi futhi ihlela amafayela ambalwa, ibuyekeze ukuhlolwa okuthintekile, futhi iphakamise ukulungiswa kuyo yonke i-codebase.
Unjiniyela unikeza umenzeli we-Augment ithikithi lesiphazamisi futhi ahlele amafayela ambalwa, abuyekeze ukuhlolwa okuthintekile, futhi uphakamise ukulungiswa kuwo wonke ama-codebase Amaqembu ngokuvamile athola imiphumela engcono uma echaza imikhawulo yekhwalithi ngaphambili, egcina indlela yokukhuphuka yomuntu yezimo ezibucayi, futhi alandelele kokubili izinzuzo zokukhiqiza nezindleko zamaphutha ngokuhamba kwesikhathi.
I-Augment Code in practice
Ithimba lisebenzisa ukuhlanganiswa kwe-Slack ukuze libuze imibuzo ngenqolobane yalo ngaphandle kokuvula i-IDE, lithola izimpendulo eziqaphela umongo phakathi nesigameko.
Ithimba lisebenzisa ukuhlanganiswa kwe-Slack ukuze libuze imibuzo mayelana nekhosombe lalo ngaphandle kokuvula i-IDE, lithola izimpendulo eziwazi umongo ngesikhathi sesigameko Amaqembu ngokuvamile athola imiphumela engcono uma echaza izinga eliphezulu ngaphambili, egcina indlela yokukhuphuka komuntu yamakesi asemaphethelweni, futhi alandelele kokubili izinzuzo zokukhiqiza nezindleko zamaphutha ngokuhamba kwesikhathi.
Izingozi & Guardrails
Izimemezelo zokwethula zingase zeqe ukuzinza ekugelezeni komsebenzi wangempela wokukhiqiza.
Izintengo ze-API noma izinguquko zenqubomgomo zingaphula ukucabanga ngobusuku obubodwa.
Ukuncika komthengisi oyedwa kukhulisa izindleko zokukhiya nokufuduka.
Ukuqalisa Umhlahlandlela
Linganisa abahlinzeki usebenzisa eyakho imisebenzi namasethi edatha.
Linganisa abahlinzeki usebenzisa eyakho imisebenzi namasethi edatha. Phatha isinyathelo ngasinye njengesango lobufakazi: uma imibandela ingafinyelelwa, misa ukukhishwa, vala igebe, bese unweba ukusetshenziswa.
Buyekeza ubumfihlo, ukuphepha, nemibandela yomthetho ngaphambi kokuhlanganiswa.
Buyekeza ubumfihlo, ukuphepha, nemibandela yomthetho ngaphambi kokuhlanganiswa. Phatha isinyathelo ngasinye njengesango lobufakazi: uma imibandela ingafinyelelwa, misa ukukhishwa, vala igebe, bese unweba ukusetshenziswa.
Gcina uhlelo lokubuyela emuva kuwo wonke amamodeli noma abathengisi.
Gcina uhlelo lokubuyela emuva kuwo wonke amamodeli noma abathengisi. Phatha isinyathelo ngasinye njengesango lobufakazi: uma imibandela ingafinyelelwa, misa ukukhishwa, vala igebe, bese unweba ukusetshenziswa.
Gada amanothi okukhululwa ukuze izinguquko zemephu yomgwaqo zingamangazi amaqembu.
Gada amanothi okukhululwa ukuze izinguquko zemephu yomgwaqo zingamangazi amaqembu. Phatha isinyathelo ngasinye njengesango lobufakazi: uma imibandela ingafinyelelwa, misa ukukhishwa, vala igebe, bese unweba ukusetshenziswa.