AI na Mbugharị koodu akpaaka
Ngwá ọrụ AI nwere ike ịtụgharị koodu n'etiti asụsụ, kwalite usoro ochie, na imelite usoro ihe nketa ngwa ngwa karịa ka edere akwụkwọ ntuziaka.
Nchịkọta
This tackles one of software's most expensive and error-prone chores.
Ime miri emi
Koodu mbata, ma ọ bụ site na Python 2 gaa na 3, Java 8 ruo 17, COBOL gaa Java, ma ọ bụ AngularJS ka ọ meghachi omume, apụtala na ọ na-agwụ ike, na-edezi aka dị ize ndụ n'ofe puku faịlụ. Ụdị asụsụ buru ibu na-agbanwe akụnụba site n'ịghọta koodu semantics, ọ bụghị naanị syntax, ka ha nwee ike idegharị ọrụ mgbe ha na-echekwa omume, melite API ndị mebiri emebi, ma kọwaa mgbanwe ha. Google kọrọ na iji LLM n'ime ime ka ọ dị ngwa ngwa mbugharị buru ibu, ya na ndị injinia na-enyocha ọdịiche ndị AI mepụtara. Ngwa dị ka GitHub Copilot, Amazon Q Developer, na ndị ọrụ pụrụ iche na-ejikwa usoro nkwalite na ndabara ndabara. Usoro ezi uche dị na ya bụ mmadụ-na-na-aka: AI na-atụ aro mgbanwe n'ọ̀tụ̀tụ̀, ule akpaaka na-achọpụta omume, na ndị injinia kwadoro, na-akpakọba usoro iheomume n'ụzọ dị egwu.
Nghọta nka nka
Ngwá ọrụ mbugharị dị irè anaghị adabere na ihe nlereanya naanị. Ọ na-ejikọta LLMs na osisi abstract syntax (AST) na nyocha nke static iji chọta kpọmkwem ihe ga-agbanwe, wee jụọ ihe nlereanya ahụ ka ọ gbanwee snippets snippets na gburugburu gburugburu. A na-akwado ndezi emepụtara site n'ịchịkọta koodu na ịgba ọsọ ụlọ nyocha dị; a na-enyeghachi ọdịda ọdịda maka ngafe ọzọ. Nweghachi-na-nyochaa loop a na-agbanye ihe nlereanya ahụ, na-egbochi API ndị a na-ahụ anya, ma na-eme mgbanwe na-echekwa omume kama ịbụ naanị ihe dị mma.
Mmetụta atụmatụ
Mee nhọrọ
Nhazi ọkwa-ngwa na-ekpebi ma AI ọ na-eme ka ezigbo nsonaazụ.
Team na usoro ọrụ
Ngwakọta arụmọrụ dị mma na-emepụta uru nrụpụta ọrụ ndị ọrụ nwere ike ịtụkwasị obi.
Ihe ize ndụ na nchekwa
Usoro eji eme ihe nke ọma na-ebelata ike ọgwụgwụ mgbanwe na ihe ize ndụ mmejuputa.
Ọdịnihu nke AI na Mbugharị koodu akpaaka
Mbugharị na-aghọ ihe eji eji ọkọlọtọ eme ihe maka ndị ọrụ nzuzo kwụụrụ onwe na-eme atụmatụ nkwalite ọtụtụ nzọụkwụ, dezie ọtụtụ faịlụ, na-agba ule, na-emegharị ruo mgbe akwụkwọ ndụ akwụkwọ ndụ. Na-atụ anya njikọta miri emi na pipeline CI, njikwa nke ọma nke nnukwu codebases dị ka COBOL afọ iri afọ na ụlọ akụ na gọọmentị, yana ntụkwasị obi na-abawanye ka nkwenye na-akawanye mma. Mgbanwe ahụ ga-agbanwe site na mgbanwe ederede gaa na nyocha ha, ya mere ọdịiche dị iche iche nwere ike ịkọwa na mkpuchi ule siri ike na-aghọ ezigbo ndị na-enyere aka na nchekwa, nnukwu ọgbara ọhụrụ.
Mmejuputa n'ezie n'ụwa
Ịkwalite nnukwu koodu koodu Java site na ụdị 8 ruo 17 site na-emelite API na syntax emelitere na akpaghị aka.
Ịsụgharị sistemu ụlọ akụ COBOL ketara ka ọ bụrụ Java ọgbara ọhụrụ ma ọ bụ Python maka idowe ya
Na-ebuga ngwa n'ihu site na AngularJS iji meghachi omume site na iji akụrụngwa emepụtara AI
Ndabere na-akụtu na idozi mgbanwe nbibi gafere ọtụtụ narị faịlụ n'ime otu ngafe enyochala
Ihe ize ndụ & okporo ụzọ nche
Ime ka usoro gbajiri agbaji nwere ike ịbawanye nsogbu ndị dị adị.
Otu dị iche iche nwere ike megharịa ma wepụ ikpe mmadụ chọrọ.
Ogo nwere ike ịfegharị ma ọ bụrụ na enyochaghị nsonaazụ ya.
Map mmejuputa
Map usoro ọrụ dị ugbu a wee chọpụta usoro mgbagha kachasị elu.
Kọwaa ebe nlele mmadụ tupu akpaaka zuru oke.
Zụlite ndị ọrụ na mkpali, ụzọ mmụba, na ụkpụrụ ịdị mma.
Soro nsonaazụ ọkwa-ọrụ iji kwado uru na-adịgide adịgide.
Nọgide na-eme nchọpụta
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Ntuziaka na-esote
Nyochaa koodu AI
Ajụjụ a na-ajụkarị
What is AI in Automated Code Migration?
Ngwá ọrụ AI nwere ike ịtụgharị koodu n'etiti asụsụ, kwalite usoro ochie, na imelite usoro ihe nketa ngwa ngwa karịa ka edere akwụkwọ ntuziaka. Nke a na-akwado otu n'ime ngwa ọrụ kachasị ọnụ yana mmejọ na-adakarị.
Kedu ihe kpatara mbugharị koodu AI-enyere aka ji baa uru?
Mbugharị gafere ọtụtụ puku faịlụ na-agwụ ike ma dị ize ndụ site n'aka; Ndị LLM nwere ike ịtụpụta idegharị nnukwu, na-echekwa omume ngwa ngwa.
Kedu usoro ọrụ nchekwa adịghị mma maka ịkwaga koodu AI?
Ụkpụrụ ezi uche dị na ya nwere AI na-emepụta mgbanwe n'ọ̀tụ̀tụ̀, àgwà nlele ule akpaaka, yana mmadụ nyochaa ma kwado ya.
Kedu otu ngwaọrụ mbugharị si ebelata API ndị na-enweghị isi ma ọ bụ na-ezighi ezi?
A na-enyocha ndezi emepụtara site na nchịkọta na ụlọ nyocha, yana ọdịda eweghachitere maka mbọ ọzọ, na-akụda mmepụta ihe nlereanya ahụ.
Kedu ihe kpatara ijikọ LLM na nyocha AST na nyocha kwụ ọtọ?
AST na nyocha kwụ ọtọ na-akọwapụta ihe arụrụ arụ chọrọ mgbanwe, yabụ ihe nlereanya ahụ na-agbanwe snippets etinyebere na ọnọdụ dabara adaba kama ịkọ nkọ.
Kedu n'ime ndị a bụ ebumnuche mbugharị n'ezie n'ụwa?
Legacy COBOL na ụlọ akụ na gọọmentị bụ ihe ama ama, ịma aka mbugharị bara uru nke ngwa AI na-achọ inye aka imeziwanye.