Mharidzo yeMashandisiro
AI mu Automated Code Kutama
Zvishandiso zveAI zvinogona kushandura kodhi pakati pemitauro, kusimudzira masisitimu ekare, uye kugadzirisa masisitimu enhaka nekukurumidza kupfuura kunyorazve kwemaoko.
Teerera kugwaro iriAI-yakarondedzerwa · ~2 min
Pa peji ino2 min verenga
Pfupiso
Izvi zvinobata rimwe remabasa esoftware anodhura uye ane kukanganisa.
Kudzika Kwakadzika
Kutama kodhi, kungave kutama kubva kuPython 2 kuenda ku3, Java 8 kuenda ku17, COBOL kuenda kuJava, kana AngularJS to React, zvagara zvichireva zvinonetesa, zvine njodzi kugadzirisa nemaoko muzviuru zvemafaira. Mhando dzemitauro mikuru dzinoshandura hupfumi nekunzwisisa kodhi semantics, kwete chete syntax, kuti vakwanise kunyorazve mabasa vachichengetedza maitiro, kugadzirisa maAPI akaregwa, uye kutsanangura shanduko yavo. Google yakashumwa kushandisa maLLM mukati kuti ikurumidze kutama kukuru, mainjiniya achiongorora kusiyana kwakagadzirwa neAI. Zvishandiso zvakaita seGitHub Copilot, Amazon Q Developer, uye vamiririri vane hunyanzvi zvino vanobata masisitimu ekusimudzira uye kutsamira mabumps. Iyo yechokwadi maitiro ndeyemunhu-mu-the-loop: iyo AI inokurudzira shanduko pachiyero, otomatiki bvunzo inosimbisa maitiro, uye mainjiniya anotendera, zvinoshamisa kumanikidza nguva.
Kuitwa muNyika yeChokwadi
Kuvandudza Java codebase yakakura kubva ku8 kusvika ku17 nekugadzirisa otomatiki maAPIs uye syntax.
Kushandura nhaka COBOL yekubhengi masisitimu kuita Java yemazuva ano kana Python kuitira kuchengetedza
Kufambisa yekumberi-yekupedzisira app kubva kuAngularJS kuenda kuReact neAI-yakagadzirwa chikamu chinonyora patsva.
Kukanganisa kutsamira uye kugadzirisa kutyora shanduko mumazana emafaira mune imwechete yakaongororwa pass
Ramangwana reAI muOtomatiki Code Kutama
Kutama kuri kuita mureza wekushandisa kesi yevanozvimiririra coding vamiririri vanoronga akawanda-nhanho kusimudzira, gadzirisa akawanda mafaera, mhanyisa bvunzo, uye iterate kusvika girinhi. Tarisira kubatanidzwa kwakadzama nemapaipi eCI, kubata zvirinani kweakakura nhaka macodebases semakumi emakore-ekare COBOL mumabhangi nehurumende, uye kuwedzera kuvimbana sezvo ongororo inovandudzwa. Iyo bhodhoro inozochinja kubva pakunyora shanduko kuenda kuiongorora, saka zvinotsanangurika zvakasiyana uye yakasimba bvunzo yekuvhara inova iyo chaiyo inogonesa yakachengeteka, yakakura-chiyero chemazuva ano.
Kuzvishandisa
Nei zvichikosha
- Vaka sarudzo. Kushandisa-level dhizaini inosarudza kana AI inovandudza mhedzisiro chaiyo.
- Team uye workflow. Yakanaka workflow kusanganisa inogadzira budiriro inowanikwa vashandisi vanogona kuvimba.
- Ngozi uye kuchengeteka. Makesi ekushandisa akakwenenzverwa anoderedza kupera kuneta uye njodzi yekushandisa.
Chenjera
- Kuita otomatiki nzira yakaputsika inogona kukudza matambudziko aripo.
- Matimu anogona kuwedzera otomatiki uye kubvisa kutonga kunodiwa kwevanhu.
- Hunhu hunogona kudonha kana zvinobuda zvikasaramba zvichiongororwa.
Matanho anotevera
- Mepu mafambiro ebasa uye ratidza danho repamusoro-soro.
- Tsanangura nzvimbo dzekutarisa dzevanhu isati yazara otomatiki.
- Dzidzisa vashandisi pane zvinokurudzira, nzira dzekukwira, uye mhando dzemhando.
- Tevera basa-level zvabuda kuti usimbise kukosha kwakasimba.
Ramba Uchiongorora
Tsamba yemahara
Tora iyo yemazuva ese AI pfupiso
Nhatu dzakasimbiswa dzeAI nyaya mangwanani ega ega pakati pevhiki, dzakanyorwa neChirungu chakajeka. Yemahara zvachose, hapana ads.
Imwe email zuva rega rega revhiki. Bvisa kunyoresa kamwe chete. Hatimbotengese kana kugovera kero yako.
Zviedze iwe pachako
Take the AI in Automated Code Migration quiz
Mhinduro yepakarepo pamhinduro yega yega, uye chitupa chinogovaniswa chine ID inobatika kana wapedza kosi.
Tsigira dzidzo yemahara yeAI. AI Understanding ndeye 501(c)(3) isingabatsiri - hapana ads, hapana paywall, zvachose. Ita chipo
Mibvunzo inowanzo bvunzwa
Chii chinonzi AI mune Automated Code Migration?
Zvishandiso zveAI zvinogona kushandura kodhi pakati pemitauro, kusimudzira masisitimu ekare, uye kugadzirisa masisitimu enhaka nekukurumidza kupfuura kunyorazve kwemaoko. Izvi zvinobata rimwe remabasa esoftware anodhura uye ane kukanganisa.
Sei AI-yakabatsirwa kodhi kutama kwakakosha?
Kutama muzviuru zvemafaira kunonetesa uye kune njodzi nemaoko; MaLLM anogona kupa hukuru, hunhu hunochengetedza kunyora zvakare nekukurumidza.
Ndeipi yakajairika yakachengeteka mafambiro eAI kodhi yekufambisa?
Iyo yechokwadi pateni ine iyo AI inogadzira shanduko pachiyero, otomatiki bvunzo tarisa maitiro, uye vanhu vanoongorora nekubvumidza.
Maturusi ekufambisa anoderedza sei maAPI akaoneswa kana kuti asiri iwo?
Magadzirirwo akagadzirwa anosimbiswa kuburikidza nekubatanidza uye bvunzo masutu, nekutadza kunodzoserwa kune imwe kuyedza, kudzika iyo modhi inobuda.
Nei uchibatanidza maLLM ane AST parsing uye static ongororo?
AST uye static ongororo inonongedza izvo chaizvo zvivakwa zvinoda shanduko, saka modhi inoshandura yakatariswa snippets ine yakakodzera mamiriro pane kufungidzira.
Ndechipi cheichi chiri chekare-chaiyo-chaiyo nyika yekutama?
Legacy COBOL mumabhangi nehurumende idambudziko rinozivikanwa, repamusoro-soro rekutama iro AI tooling ine chinangwa chekubatsira kuvandudza.
Ramba uchidzidza
Mazano anoenderana
Mamwe madhairekitori akasarudzirwa nyaya iyi