Overview
Augment Code ipuratifomu yeAI yekodhi yakavakirwa zvakananga kune yakakura, chaiyo-yepasirese macodebases, kwete ematoyi demo. Inoshandisa yakadzika mamiriro ekudzoreredza saka mazano ayo anonyatso nzwisisa yako yese repository, kutsamira kwako, uye magungano echikwata chako.
Augment Code inonzwisiswa zvakanyanya mumamiriro ehurongwa, kuwana modhi, sarudzo dzepuratifomu, uye ecosystem kudyidzana.
Deep Dive
Augment Code ikambani yekuvandudza-zvishandiso iyo yakakosha chigadzirwa mubatsiri weAI iyo inopinda muvapepeti vakaita seVS Code, JetBrains IDEs, uye Vim, pamwe neSlack. Musiyanisi wayo ndiye Context Injini: pane kungotarisa faira rawakavhura, inonongedza yako yese codebase, kusanganisira mamirioni emitsara, uye inotora zvidimbu zvakakosha usati wapindura. Izvi zvakakosha nekuti nzvimbo dzebhizinesi hombe ndipo panokundikana chatbots, kunyengedza mazita emabasa asipo kana kufuratira maitiro emukati. Augment inopa chat, inline kupedzisa, uye anozvimiririra mumiriri anogona kuronga uye kugadzirisa pane akawanda mafaera. Iyo kambani yakasimbisa kuchengetedzeka kwebhizinesi, kusanganisira kutevedzera SOC 2 uye mutemo wekusadzidzisa mhando dzayo pakodhi yevatengi, iyo inogadzirisa kunetsekana kwepamusoro kumasangano einjiniya.
Technical Insight
Mwoyo weAugment ndeyekudzoreredza-yakawedzerwa chizvarwa chakarongedzwa kodhi. Inovaka indekisi inoramba ichigadziridzwa yenzvimbo yako, zvino panguva yekubvunza inoshandisa semantic uye yemaitiro kutsvaga kudhonza snippets, tsananguro yemhando, uye kufona masaiti anonyanya kukosha kune chako chikumbiro. Iwo snippets akazara mukati meiyo modhi yemamiriro hwindo padivi pekukurumidza kwako. Izvi zvinochengeta mazano akavakirwa muma API chaiwo aripo mucodebase yako kwete zvinonzwisisika-zvinonzwika zvigadzirwa, uye inobvumira mumiririri kufunga mafaera ese asina kumboona akavhurika.
Mastering Augment Code
Augment Code ipuratifomu yeAI yekodhi yakavakirwa zvakananga kune yakakura, chaiyo-yepasirese macodebases, kwete ematoyi demo. Inoshandisa yakadzika mamiriro ekudzoreredza saka mazano ayo anonyatso nzwisisa yako yese repository, kutsamira kwako, uye magungano echikwata chako. Augment Code inonzwisiswa zvakanyanya mumamiriro ehurongwa, kuwana modhi, sarudzo dzepuratifomu, uye ecosystem kudyidzana. Kuti uvake kunzwisisa kwakadzama, bata Augment Code semuenzaniso wekushandisa, kwete chinhu chimwe chete: tsanangura zvinodikanwa, kujekesa fungidziro, uye patsanura zvinogona kuitwa nehurongwa hwakavimbika kubva kune zvichiri kuda kutonga kwenyanzvi.
Mukuita, zvikwata zvakasimba zvinoshandisa Augment Code inoongorora zano revatengesi, kuvimbika kwemepu yemugwagwa, uye njodzi yekuvhara isati yaita. Ivo vanonyora zvakajeka maitiro ebudiriro, bvunzo vachipokana ne data rechokwadi uye mafambiro ebasa, uye iterate zvichibva pane zvakacherechedzwa maitiro ekutadza kwete kuhwina-nguva imwe chete yebhenji. Apa ndipo apo kunzwisisa kwe theoretical kunoshanduka kuve kugona kwakasimba pane chigadzirwa, mutemo, uye mashandiro.
Mamepu emigwagwa emutengesi anopesvedzera izvo izvo timu yako inogona kugadzira inotevera. Panguva imwecheteyo, zviziviso zveLaunch zvinogona kupfuura kugadzikana mune chaiyo yekugadzira workflows. Nzira yakatsiga ndeyekubatanidza kukurumidza kuyedza nekutonga: mhanyisa vatyairi vendege, tora humbowo, buritsa matanda esarudzo, uye urambe uchivandudza chengetedzo semaitiro emuenzaniso, zvinotarisirwa nemushandisi, uye zvinodikanwa zvekutonga.
Strategic Impact
Mamepu emigwagwa emutengesi anopesvedzera izvo izvo timu yako inogona kugadzira inotevera.
Mamepu emigwagwa emutengesi anopesvedzera izvo izvo timu yako inogona kugadzira inotevera. Mukutumirwa kwemhando yepamusoro, izvi zvinoshandurirwa kuita mitemo inoyerwa yekushanda, miganhu yevaridzi, uye tsika dzekudzokorora dzinodzokororwa kuitira kuti zvikwata zvikwire kuvimba pane kukwidza kusajeka.
Mamiriro ezvekutengeserana uye sarudzo dzekuendesa dzinokanganisa mutengo wenguva refu uye njodzi.
Mamiriro ezvekutengeserana uye sarudzo dzekuendesa dzinokanganisa mutengo wenguva refu uye njodzi. Mukutumirwa kwemhando yepamusoro, izvi zvinoshandurirwa kuita mitemo inoyerwa yekushanda, miganhu yevaridzi, uye tsika dzekudzokorora dzinodzokororwa kuitira kuti zvikwata zvikwire kuvimba pane kukwidza kusajeka.
Kambani inokurudzira inogadzirisa kusarudzika kwechigadzirwa, mamiriro ekuchengetedza, uye kuvhurika.
Kambani inokurudzira inogadzirisa kusarudzika kwechigadzirwa, mamiriro ekuchengetedza, uye kuvhurika. Mukutumirwa kwemhando yepamusoro, izvi zvinoshandurirwa kuita mitemo inoyerwa yekushanda, miganhu yevaridzi, uye tsika dzekudzokorora dzinodzokororwa kuitira kuti zvikwata zvikwire kuvimba pane kukwidza kusajeka.
Real-World Implementation
Injiniya mutsva anojoinha miriyoni-mutsara monorepo anobvunza Augment kuti atsanangure kuti sevhisi yekubhadhara inosimbisa sei zvikumbiro uye inowana mhinduro yakavakirwa mukodhi chaiyo.
Mugadziri anoshandisa mapedziso emukati ayo anodaidza nemazvo mukati mechikwata utility panzvimbo yegeneric console.log nekuti injini yemukati inoziva gungano.
Injiniya inopa iyo Augment mumiriri tikiti rebug uye inogadzirisa akati wandei mafaera, inovandudza bvunzo yakakanganisika, uye inopa gadziriso mukati meiyo codebase.
Chikwata chinoshandisa iyo Slack yekubatanidza kubvunza mibvunzo nezve repository yavo pasina kuvhura IDE, kuwana mhinduro-inoziva mamiriro panguva yechiitiko.
Maitiro Ekuita
Augment Code mukuita
Injiniya mutsva anojoinha miriyoni-mutsara monorepo anobvunza Augment kuti atsanangure kuti sevhisi yekubhadhara inosimbisa sei zvikumbiro uye inowana mhinduro yakavakirwa mukodhi chaiyo.
Injiniya mutsva anojoinha miriyoni-mutsara monorepo anobvunza Augment kuti atsanangure kuti sevhisi yekubhadhara inosimbisa sei zvikumbiro uye inowana mhinduro yakavakirwa mukodhi chaiyo Matimu anowanzo kuwana mibairo iri nani kana achinge atsanangura hunhu hwepamberi, chengetedza nzira yekukwira kwevanhu yemakesi emupendero, uye kuteedzera zvese zvakawanikwa zvechigadzirwa uye mutengo wekukanganisa nekufamba kwenguva.
Augment Code mukuita
Mugadziri anoshandisa mapedziso emukati ayo anodaidza nemazvo mukati mechikwata utility panzvimbo yegeneric console.log nekuti injini yemukati inoziva gungano.
Mugadziri anoshandisa inline kupedzisa kunodaidza nemazvo mukati mechikwata chinoshandiswa chekutema matanda panzvimbo yegeneric console.log nekuti injini yemamiriro ekunze inoziva magungano Matimu anowanzo kuwana mhedzisiro iri nani kana achinge atsanangura hunhu hwepamberi, chengetedza nzira yekukwira kwevanhu yemakesi ekumucheto, uye kuteedzera zvese zvakawanikwa zvechigadzirwa uye mutengo wekukanganisa nekufamba kwenguva.
Augment Code mukuita
Injiniya inopa iyo Augment mumiriri tikiti rebug uye inogadzirisa akati wandei mafaera, inovandudza bvunzo yakakanganisika, uye inopa gadziriso mukati meiyo codebase.
Injiniya inopa mumiriri weAugment tikiti rebug uye inogadzirisa mafaera akati wandei, inovandudza bvunzo yakakanganisika, uye inofunga kugadzirisa mukati mecodebase Matimu anowanzo kuwana mhedzisiro iri nani kana achinge atsanangura emhando yepamusoro kumberi, chengetedza nzira yekukwira kwevanhu yemakesi ekumucheto, uye kuteedzera zvese zvakawanikwa zvechigadzirwa uye mutengo wekukanganisa nekufamba kwenguva.
Augment Code mukuita
Chikwata chinoshandisa iyo Slack yekubatanidza kubvunza mibvunzo nezve repository yavo pasina kuvhura IDE, kuwana mhinduro-inoziva mamiriro panguva yechiitiko.
Chikwata chinoshandisa iyo Slack yekubatanidza kubvunza mibvunzo nezve repository yavo pasina kuvhura IDE, kuwana mhinduro-inoziva mamiriro panguva yechiitiko Matimu anowanzo kuwana mhedzisiro iri nani kana achinge atsanangura emhando yepamusoro kumberi, chengetedza nzira yekukwira kwevanhu yemakesi emupendero, uye kuteedzera zvese zvakawanikwa zvechigadzirwa uye kukanganisa mutengo nekufamba kwenguva.
Njodzi & Guardrails
Zviziviso zvekutanga zvinogona kupfuura kugadzikana mune chaiyo yekugadzira workflows.
Mitengo yeAPI kana shanduko yepolicy inogona kukanganisa fungidziro husiku.
Kutsamira kune mumwe-mutengesi kunowedzera kukiya-mukati uye mari yekufambisa.
Implementation Roadmap
Ongorora vanopa uchishandisa ako ega mabasa uye dataset.
Ongorora vanopa uchishandisa ako ega mabasa uye dataset. Bata nhanho yega yega segedhi rehumbowo: kana maitiro asina kusangana, imbomira kuburitsa, vhara gaka, uye wobva wawedzera kushandiswa.
Wongorora zvakavanzika, chengetedzo, uye mazwi emutemo usati wabatanidzwa.
Wongorora zvakavanzika, chengetedzo, uye mazwi emutemo usati wabatanidzwa. Bata nhanho yega yega segedhi rehumbowo: kana maitiro asina kusangana, imbomira kuburitsa, vhara gaka, uye wobva wawedzera kushandiswa.
Chengetedza chirongwa chekudzokera kumashure kune mamodheru kana vatengesi.
Chengetedza chirongwa chekudzokera kumashure kune mamodheru kana vatengesi. Bata nhanho yega yega segedhi rehumbowo: kana maitiro asina kusangana, imbomira kuburitsa, vhara gaka, uye wobva wawedzera kushandiswa.
Tarisa zvinyorwa zvekuburitsa kuitira kuti shanduko yemigwagwa isashamise zvikwata.
Tarisa zvinyorwa zvekuburitsa kuitira kuti shanduko yemigwagwa isashamise zvikwata. Bata nhanho yega yega segedhi rehumbowo: kana maitiro asina kusangana, imbomira kuburitsa, vhara gaka, uye wobva wawedzera kushandiswa.