Maitiro ekuvandudza hunyanzvi hwako uye nekugadzirisa kodhi yako neGPT-5 Codex

Mune ecosystem yeAI-yakabatsirwa maturusi ekusimudzira, GPT-5-Codex emerge como OpenAI's bidhi yekuunza coding rubatsiro kune yechokwadi agency level, inokwanisa kuronga, kuita, kuedza uye kupukuta kodhi shanduko mukati mekuyerera chaiko.

Iyi haingori imwe yega-yakakwana chishandiso: maitiro ayo ndeyekupedzisa mabasa, kukwana muPRs, uye kupasa bhatiri bvunzo, ine maitiro ari padyo neaya ehunyanzvi waunoshanda naye pane ari nyore kutaura mubatsiri. Ndiwo matauriro eiyi nyowani iteration: yakavimbika, yakawanda inoshanda, uye yakagadzirirwa mazuva ese einjiniya maitiro.

Chii chinonzi GPT-5-Codex uye nei chiripo?

GPT-5‑Codex, muchidimbu, GPT-5 nyanzvi yakatarisana nesoftware engineering uye mumiririri anoyereraPane kukoshesa kutaura kwakajairika, kudzidzisa kwayo uye kusimbisa tuning inonangana ne "kuvaka → mhanyisa bvunzo → gadzirisa → dzokorora" matenderedzwa, zvine hungwaru PR kunyora nekugadzirisa, uye kutevera mapurojekiti magungano. OpenAI inoiisa senhaka yezvirongwa zvekare zveCodex, asi yakavakirwa pakufunga kweGPT-5 uye kuyera hwaro hwekuongorora mumabasa akawanda-mafaira uye akawanda-nhanho maitiro ane kuvimbika kukuru.

Iko kukurudzira ndeye pragmatic: Matimu anoda chimwe chinhu chinopfuura kupa zano rakasarudzika snippetKukosha kwechirevo chiri pakufamba kubva ku "Ndichakunyorera chimiro" kuenda ku "Ndichakupa chimiro chine kupasa bvunzo," ine modhi inonzwisisa iyo repo chimiro, inoshandisa zvigamba, inomhanyisa bvunzo, uye inopa inonzwisisika PR inowirirana nezviyero zvekambani.

Magadzirirwo ayo uye akadzidziswa: ekuvaka uye optimizations

Architecturally, GPT-5‑Codex inotora nhaka yekushandura hwaro hwe GPT‑5 (kuyera zvivakwa, kuvandudza kufunga) uye inowedzera huinjiniya-chaiyo tuning. Kudzidzira kunotarisa pane chaiwo-epasirese mamiriro: akawanda-faira refactorings, test suite execution, debugging zvikamu, uye wongororo nemasaini ekuda kwevanhu, saka chinangwa hachisi chekungoburitsa mavara chaiwo, asi zvakare. Kurisa kurongeka kwakaringana, bvunzo dzakatenderwa, uye mhinduro inobatsira yekuongorora.

Iyo "agetive" layer ndiyo yakakosha. Iyo modhi inodzidza kusarudza nguva yekukumbira maturusi, maitiro ekubatanidza zvinobuda mubvunzo mumatanho ayo anotevera, uye nzira yekuvhara loop pakati pe synthesis uye verification. Iyo inodzidziswa pamakwara ayo inoburitsa zviito (semuenzaniso, "run bvunzo X"), inoona mhedzisiro, uye inogadzirisa chizvarwa chavo chinotevera, ichigonesa hunhu hunoenderana pakutevedzana kwakareba.

Kudzidziswa-inotungamirwa nekudzidziswa uye RLHF yakashandiswa kune kodhi

Kusiyana neyakajairwa chat marongero, Kusimbisa kunosanganisira chaiyo kodhi kuuraya uye otomatiki kusimbiswaFeedback loops inobva kune ese ari maviri bvunzo mhinduro uye zvido zvevanhu, kugadzirisa kugoverwa kwechikwereti chenguva mune akawanda-nhanho kutevedzana (kugadzira PRs, kuuraya masutu, kugadzirisa tsikidzi). Mamiriro ezvinhu anoyera saizi yekuchengetera kuti udzidze nezve zvinotsamira, kutumidza magungano, uye muchinjika-wekucheka mhedzisiro pane iyo codebase.

Iyi nzira ine "instrumented environments" inobvumira modhi kuita mukati meinjiniya maitiro (semuenzaniso, kuchengetedza maitiro pane zvakakura refactorings, kunyora zvakajeka diffs, kana kutevedzera yakajairwa PR etiquette), izvo zvinoderedza kupokana paunenge uchibatanidza muzvikwata zvave kushanda neCI uye ongororo yepamutemo.

Kushandiswa kwezvishandiso uye kuwirirana nenharaunda

Nhoroondo, Codex yakabatanidza kubuda kwayo neyakareruka yekumhanya iyo inogona kuvhura mafaera kana kumhanyisa bvunzo. MuGPT-5-Codex, Uku kurongeka kunowedzerwa: inodzidza nguva uye sei kudaidza maturusi uye "inoverenga" kudzorera mhinduro., kuvhara mukaha pakati pezinga remutauro nekusimbiswa kwepurogiramu. Mukuita, izvi zvinoshandura mukuedza kushoma mapofu uye kudzokororwa kwakawanda kunoziviswa nemhinduro kubva kuhurongwa hwekuyedza.

Zvaunogona kuita: kugona uye inogadzirisa "nguva yekufunga"

Imwe yemabheti akasiyana ndeye kusiyanisa nguva yekufunga: Zvikumbiro zvidiki zvinopindurwa nekukasira uye zvakachipa, nepo kudzokorodza kwakaoma kunogona kuvhura hwindo refu "rekufunga" rekugadzirisa shanduko, kupeta, uye kudzokorora. Munguva pfupi, inoshandisawo ma tokens mashoma kupfuura GPT-5 zvakazara, ine Chengetedzo inosvika 93,7% pamatokeni mukudyidzana kudiki, izvo zvinobatsira zvine mari.

En cuanto a funciones, Tanga mapurojekiti ane yakazara scaffolding (CI, bvunzo, zvinyorwa), inomhanya bvunzo-yekugadzirisa mitsetse yakazvimirira, inogadzirisa akawanda-faira refactorings uchichengeta maitiro, inonyora tsananguro yePR ine-yakaunzwa shanduko, uye zvikonzero kuburikidza neanovimba magirafu uye API miganhu yakasimba kupfuura generic chat modhi.

Paunoshanda mugore, inotsigira zvinoonekwa zvinopinza uye zvinobuda: Unogona kugamuchira zvidzitiro uye ubatanidze maartifacts (semuenzaniso, zvidzitiro zveiyo UI inoguma) kumabasa, ayo anobatsira kwazvo kumberi-kuguma debugging uye yekuona QA. Iyi yekuona-kodhi yekubatanidza inonyanya kubatsira pakugadzirisa magadzirirwo kana kuona kuti graphical regression yakagadziriswa.

Workflow kubatanidzwa: CLI, IDE, uye GitHub/Cloud

Codex haigari mubrowser. Iyo Codex CLI yakagadziridzwa patsva kutenderera kuyerera kweagent, ine mifananidzo yakanamirwa, rondedzero yebasa, tsigiro yezvishandiso zvekunze (web search, MCP), yakagadziridzwa terminal interface, uye yakarerutswa-nhatu-nhanho yemvumo modhi (yekuverenga-chete, otomatiki, uye yakazara kuwana). Zvese zvakagadzirirwa kuita kubatirana pamwe nemumiririri kubva kune terminal yakavimbika.

En el editor, Iyo Codex yekuwedzera yeIDE inobatanidza mumiririri muVS Code (uye maforogo) kuona misiyano yemunharaunda, fambisa mabasa pakati pegore uye pane-nzvimbo uchichengetedza mamiriro, uye daidza modhi ine faira razvino mukuona. Kuona nekugadzirisa mhedzisiro mupepeti kunoderedza shanduko yemamiriro ekunze uye nekumhanyisa kudzokorora.

Mugore uye paGitHub, Mabasa anogona otomatiki kuongorora PRs, kusimudza ephemeral midziyo, uye kubatanidza matanda uye skrini kune zvinyorwa zvekuongorora. Izvo zvakagadziridzwa zvivakwa zvinounza kudzikisira kwakanyanya mu latency yekutenda kune cache yemidziyo, ine kuderedza nguva kunosvika 90% mune mamwe mabasa anodzokororwa.

Kuganhurirwa uye munzvimbo dzipi dzazvinoita zvirinani kana kuipa

Specialization ine mutengo wayo: Muongororo dzisinei nekodhi, GPT-5‑Codex inogona kuita pazasi peGPT-5 Generalist.Uye hunhu hwayo hwekutarisira hunosanganiswa nemhando yeyedzo seti: mune repos ine yakaderera kufukidzwa, otomatiki verification inodonha, uye kutarisa kwevanhu kunove kwakakosha zvakare.

Destaca en Complex refactorings, scaffolding yemapurojekiti makuru, kunyora uye kugadzirisa bvunzo, PR yekutarisira yekutevera, uye akawanda-faira bug kuongororwa. Izvo hazvina kufanira uko ruzivo rwevaridzi rwusina kubatanidzwa munzvimbo yebasa runodiwa kana mu "zero-chikanganiso" nharaunda pasina ongororo yemunhu (yakakosha kune chengetedzo), uko kungwarira kwakakosha.

Performance: mabhenji nemibairo yakashumwa

Muyedzo-yakatarisana nemiedzo yakadai seSWE-bench Yakasimbiswa, OpenAI inoshuma kuti GPT-5-Codex inodarika GPT-5 muhuwandu hwekubudirira pa500 chaiyo software engineering mabasa. Chikamu chekukosha chiri muchokwadi chekuti kuongororwa kunobata nyaya dzakakwana (zvisisiri 477 chete, asi 500 zvingangoitika mabasa), uye mukunatsiridza kunoonekwa mukudzokorodza metrics akatorwa kubva kuhombe repos. Kusvetuka kunozivikanwa kunotaurwa mune mamwe ma-high-verbosity zviratidzo, kunyange zvakadaro nuances yekuberekana uye bvunzo kumisikidzwa inocherechedzwa.

Kuverenga kwakakosha kunoramba kuchisungirwa: subset misiyano, verbosity, uye mutengo inogona kukanganisa kuenzanisa. Zvakadaro, iyo pateni pane yakazvimiririra wongororo ndeyekuti hunhu hweajenti hwave nani, uye kuti masimba mukudzokorodza haawanzo shandura kune yakagadziridzwa mbichana chaiyo pamabasa ese.

Svika nhasi: Kupi kushandisa GPT-5-Codex

OpenAI yakabatanidza GPT-5-Codex muCodex chigadzirwa zviitiko: CLI, IDE yekuwedzera, gore uye ongororo tambo paGitHub, mukuwedzera pakuvapo kwayo muChatGPT app yeIOS. Mukufanana, kambani yakaratidza kuwanikwa kwe Uyezve, Pro, Bhizinesi, Edu uye Enterprise vanyoreri mukati meCodex/ChatGPT ecosystem, ine API yekuwana yakaziviswa se "inouya nekukurumidza" kunze kwekuyerera kweCodex.

Kune avo vanotanga kuburikidza neAPI, Kufona kunotevera yakajairika SDK pateniMuenzaniso wekutanga muPython unotaridzika seizvi:

import openai
openai.api_key = "tu-api-key"
resp = openai.ChatCompletion.create(
    model="gpt-5-codex",
    messages=[{"role":"user","content":"Genera una función en Python para ordenar una lista."}]
)
print(resp.choices[0].message.content)

Kuwanikwa kuburikidza neOpenAI API-inoenderana vanopa kunotaurwa zvakare, uye izvo Mitengo inotevera chirongwa chechiratidzo nemamiriro ebhizinesi chaiwo maererano nezvirongwa. Zvishandiso zvakadai Apidog Ivo vanobatsira kutevedzera mhinduro uye kuyedza zviitiko zvakanyanyisa pasina kushandisa chaiko, kufambisa zvinyorwa (OpenAPI) uye chizvarwa chevatengi.

VS Code kuburikidza neGitHub Copilot: Public Preview

En Visual Studio Code, Kupinda kunoitwa neCopilot Mukuona kweruzhinji (shanduro uye zvirongwa zvinodiwa zvinoshanda). MaAdmin anoigonesa padanho resangano (Bhizinesi/Bhizinesi), uye vashandisi vePro vanogona kuisarudza muCopilot Chat. Copilot agent modes (bvunza, gadzirisa, mumiririri) Ivo vanobatsirwa nekushingirira uye kuzvimiririra kwemuenzaniso kugadzirisa zvinyorwa nhanho nhanho uye kupa mhinduro.

Conviene recordar que kushandiswa kunosunungurwa zvishoma nezvishoma, saka havasi vese vashandisi vanozviona panguva imwe chete. Pamusoro pezvo, Apidog inopa API kuyedzwa kubva mukati meVS Code, inobatsira pakuona kwakasimba kubatanidzwa pasina mutengo wekugadzira kana latencies.

Chengetedzo, zvidzoreso uye chengetedzo

OpenAI inosimbisa akati wandei: Kudzidzira kuchengetedza kuramba majekiseni uye kudzivirira maitiro ane njodzi, uye zvidzoreso zvechigadzirwa senge default kuuraya munzvimbo dzakasarudzika, inogadziriswa network yekuwana, mirairo yemvumo modes, terminal kutema matanda, uye zvinyorwa zvekuteedzera. Izvi zvipingamupinyi zvine musoro kana mumiririri anogona kuisa zvinotsamira kana kuita maitiro.

Hay, además, zvinozivikanwa ganhuriro dzinoda kutarisirwa kwomunhu: Haitsivi vanoongorora, mabhenji ane kudhindwa kwakanaka, uye maLLM anogona kutsausa (akagadzirwa maURL, akadudzirwa zvisizvo kutsamira). Kusimbiswa nemiedzo uye ongororo yemunhu kunoramba kusiri kutaurirana usati waita shanduko mukugadzira.

Dynamic kufunga nguva: kubva masekonzi kusvika maawa manomwe

Imwe yezvirevo zvinonyanya kushamisa ndezvekuti kugona kugadzirisa computational kuedza munguva chaiyo: kubva pakupindura mumasekonzi kune zvikumbiro zvidiki kusvika pakushandisa maawa akati wandei pamabasa akaoma uye asina kusimba, kuedza zvakare bvunzo uye kugadzirisa zvikanganiso. Kusiyana nerouter inosarudza priori, iyo modhi pachayo inogona kugoverazve zviwanikwa maminitsi gare gare kana ikaona kuti basa racho rinorida.

Iyi nzira inogadzira Codex mubatsiri anobudirira pamabasa akareba uye asina kugadzikana (mahor refactorings, multi-service integrations, akawedzera debugging), chimwe chinhu chainge chambopfuura kusvikirwa kwechinyakare autocompletions.

CometAPI uye multivendor kuwana

Zvezvikwata zvinoda dzivisa mutengesi kukiya-mukati uye famba nekukurumidzaCometAPI inopa imwechete interface kune anopfuura mazana mashanu modhi (OpenAI GPT, Gemini, Claude, Midjourney, Suno, uye nezvimwe), kubatanidza huchokwadi, fomati, uye mhinduro kubata. Chikuva inozvipira kubatanidza GPT-5‑Codex zvichifambirana nekuvhurwa kwayo zviri pamutemo, kuwedzera pakuratidzira GPT-5, GPT-5 Nano uye GPT-5 Mini, ine Playground uye API gwara rekumhanyisa kuyedzwa.

Este enfoque permite dzokorora pasina kuitazve kusanganisa Pese panouya modhi itsva, chengetedza mari uye chengetedza rusununguko. Zvichakadaro, unokurudzirwa kuti uongorore mamwe mamodheru muImba Yekutamba uye ongorora magwaro kuti utore zvakarongeka.

Zvimwe zvigadziriso zvechigadzirwa: hotfixes, kumberi-kuguma, uye CLI

OpenAI inoratidza izvozvo GPT-5‑Codex yakanyatso kudzidziswa kuongorora kodhi uye kuona zvikanganiso zvakakosha, kuongorora repo, kumhanya kodhi uye bvunzo, uye kugadzirisa zvinogadzirisa. Mukuongororwa neanozivikanwa repos uye nyanzvi dzevanhu, chikamu chakaderera chemashoko asina kunaka kana asina basa anocherechedzwa, ayo anobatsira kutarisa kutarisa.

Pamberi pekupedzisira, kuita kwakavimbika kunoshumwa uye kuvandudzwa kwezvido zvevanhu pakugadzira saiti yenharembozha. Padesktop, inogona kugadzira anoyevedza maapplication. Codex CLI yakavakwazve yeajenti inoyerera, ine mifananidzo yakanamatira yezvisarudzo zvekugadzira, rondedzero yebasa, uye yakagadziridzwa mafomati ezvishandiso zvekufona uye zvakasiyana; pamwe nekutsvaga kwewebhu kwakabatanidzwa uye MCP yekubatanidza zvakachengeteka kune zvekunze data/zvishandiso.

Kusvikika, zvirongwa uye kuendesa zvishoma nezvishoma

El modelo está yakaiswa mumateshi, IDE, GitHub uye ChatGPT yePlus/Pro/Business/Edu/Enterprise vashandisi, ine API yakarongerwa gare gare. Hapana akadzama muganhu misiyano inopiwa nehurongwa, uye kuwana inogona kuoneka nenzira yakadzama, chimwe chinhu chinowanzoitika mukuona uye kuburitswa kwemasaisai.

En cuanto a costes, Mitengo inotevera zviratidzo zvirongwa uye mazinga ekushandiswa; kumabhizinesi, iyo hurukuro inowanzo tenderera Bhizinesi / Pro uye chikamu uye mutoro wekuongorora. Zvichipa shanduko "nguva yekufunga," ipfungwa yakanaka kutsanangura mitemo nemiganhu zvakajeka kudzivisa zvinoshamisa.

Kuongororwa uye kusimbiswa, Apidog inokwana zvakanaka nekuenzanisa mhinduro, kupinza OpenAPI zvakatemwa, uye kufambisa chizvarwa chevatengi; uye vatengesi vakaita seOpenRouter vanopa API tsigiro kune dzimwe nzira dzemutengo kana kuregererwa.

Kutarisa mufananidzo wose, GPT-5 Codex inosanganisa shanduko kubva ku "autocomplete" kuenda ku "kuburitsa maficha"Mumiririri anofunga zvakangokwana, kana zvakangokwana, zvichienderana nebasa, akabatanidzwa mune zvemazuva ese maturusi, ane akaturikidzana chengetedzo uye nekutarisa kwakajeka pazvinogoneka zveinjiniya mhinduro. Kune zvikwata zveese saizi, uyu mukana chaiwo wekuwana kukurumidza pasina kubayira kutonga uye mhando.