Ụzọ mkpirisi ahụigodo kacha mma na Grok Code Fast 1 iji hazie ngwa ngwa

Ọ bụrụ na ị na-eji AI ndị na-enyere aka mee mmemme ma chee na ha na-egbochi gị kama inyere gị aka, ị ga-enwe mmasị ịmara ihe ha bụ. Ụzọ mkpirisi ahụigodo kacha mma na Grok Code Fast 1. Emebere ngwa ngwa ngwa ngwa a maka usoro ntinye koodu nke ụwa n'ezie, yana obere latency, ọnọdụ bara ụba na nkwado nnọchite anya.

Amara abụghị naanị na "ọ na-aga ngwa ngwa", ọ bụ ya Ọsọ ahụ dabara na akaghị okike nke onye nrụpụta: Gụọ, dezie, nwalee ma kwugharịa. Site na nnukwu windo gbara gburugburu (ihe ruru akara ngosi 256k) yana ọrụ / oku akụrụngwa, Grok nwere ike nyochaa ọtụtụ faịlụ, tụọ mgbanwe, mee nnwale, ma nyere gị aka ịkọwapụta nke ọma karịa mkparịta ụka.

Kedu ihe bụ Grok Code Fast 1?

xAI emeziri nke ọma Koodu Grok ngwa ngwa 1 dị ka a Ụdị nzuzo dị ala na nke dị ọnụ ala, kachasị maka ntinye n'ime IDE na CI/CD pipeline. Emebere ya dị ka "onye mmekọ mmemme" ọ bụghị naanị na-emecha ahịrị, kamakwa ghọta ebumnuche, na-eme atụmatụ subtasks wee malite ngwa ọrụ dị ka linters, search engines ma ọ bụ otu ule.

Ọ na-elekwasị anya na axes abụọ: oke mmekọrịta (azịza na sekọnd ma ọ bụ obere) na token akụ. Kama ịchụso usoro ihe omume zuru oke, bute ihe na-akacha ewute ụzọ kwa ụbọchị: na-ebelata echere, nọgide na-erugharị uche ma mee ka nkwuputa ọ bụla na-eri obere oge na ego.

Igodo arụmọrụ: Latency, Context, and Cost

N'ime ule a hụrụ, grọk gosi a ọ fọrọ nke nta ka ọ bụrụ nzaghachi ozugbo maka mmecha akpaaka na ihe na-erughị otu sekọnd maka obere ọrụ (ahịrị 5-10), na-ahapụ n'etiti 2 na 5 sekọnd mgbe ị na-emepụta faịlụ buru ibu, na 5-10 sekọnd maka ogologo nrụgharị. Nke a na-atụgharị n'ime IDE na-akwụsị "nkwụsị" mgbe ị na-aga site na koodu.

Na mgbakwunye na ọsọ ya, ọ pụtara maka ya 256k ihe ngosi akara ngosi: na-enye gị ohere ịbanye nnukwu codebases na-ewepụghị akụkụ ndị dị oke egwu, yana caching prefix nke na-ezere ịmegharị otu ihe ugboro ugboro n'ọtụtụ nzọụkwụ. N'ihi ọnụ ahịa, ọtụtụ ndepụta na-atụ aka ezigbo asọmpi tụnyere ibu generalists.

Na metrics ọha na akụkọ ndị mmekọ, a kpọtụrụ aha ọnụ ọgụgụ dịka ~70,8% na SWE-Bench kwadoro na mmepụta mmepụta gburugburu 90–100+ tokens/sec, ezuru ndụ edezi ahụmahụIhe mgbaru ọsọ abụghị ịbụ "kachasị mma" na akara ngosi niile, kama ọ bụ onye na-eme ihe kacha mma na ahụigodo.

Ikike ndị na-arụ ọrụ na mmepụta ahaziri ahazi

Ihe dị iche na autocomplete kpochapụwo dị na ụlọ ọrụ: oku ọrụ nwa afọ, pịnyere mpụta JSON, yana akara echiche nkwanye ugwu a na-enyocha. Na omume, Grok nwere ike ikpebi ngwa mpụga ị ga-akpọku (gbaa ule, chọta faịlụ, tinye patches), hụ nsonaazụ wee gaa n'ihu na nzaghachi ahụ.

Nke a na-emepe ọnụ ụzọ maka ikpe dị ka nrụzi koodu akpaaka, nyocha nke nnukwu ebe nchekwa, ọgbọ nke PRs nwere diff na atụmatụ cycles siri ike → mezuo → nyochaaNgosipụta nke ụzọ echiche ya na-enyere aka nyochaa ma jikwaa omume onye enyemaka na ọnọdụ ndị na-achọsi ike.

Nweta: Copilot, Cursor, Cline na Direct API

Taa ị nwere ike ịnwale Grok Code Fast 1 site na integrations na IDE na ịnweta API. Ọtụtụ nyiwe enyela windo nlegharị anya n'efu: GitHub Copilot (nhụchalụ Nwepu), Cursor, na kline, yana CometAPI ma ọ bụ OpenRouter ụdị ọnụ ụzọ ámá mgbe ị na-ahọrọ OpenAI-dakọtara REST kama nke ala SDK/gRPC.

Ụzọ ntinye ọnụ: xAI Direct API (https://api.x.ai) jiri igodo sitere na njikwa njikwa na nyocha onye na-ebu; Ndị mmekọ IDE (Copilot, Cursor, Cline) na ntinye ihe nlereanya na ntọala; na adọkpụkọ (CometAPI/OpenRouter) na-emezi paramita ma ọ bụrụ na nchịkọta gị ejirila ndị ahịa ụdị OpenAI.

Ọnụ ahịa, oke ọnụego na mpaghara

ụgwọ ụlọ ọrụ xAI kwa token nwere ntinye ọnụ ala (~$0,20/1M), pụọ (~ $1,50/1M) na akara ngosi echekwabara (~$0,02/1M), dịka akwụkwọ na ntuziaka ndị obodo na-ekerịta. Nke a dabara na arụ ọrụ siri ike nke a na-eji prefix ahụ eme ihe nke ukwuu.

Na oke ojiji, ụkpụrụ dị ka: 480 RPM y 2M TPM, Kwesịrị ekwesị maka ìgwè ndị na-agba ọsọ dị elu na CI ma ọ bụrụhaala na a na-ejikwa concurrency. Model na-arụ ọrụ na us-east-1 obere latency maka ndị ọrụ North America, yana mmelite xAI ugboro ugboro.

Otu esi amalite na IDE gị: site na efu gaa na-arụpụta ihe

Ọ bụrụ na i jirilarị Copilot, Cursor, ma ọ bụ Cline, rụọ ọrụ ihe nlereanya na nhọrọ AI. Na Cursor, dịka ọmụmaatụ, ị nwere ike imepe ntọala, họrọ nke ahụ Koodu Grok ngwa ngwa 1 na, ọ bụrụ na ọdabara, jikọọ igodo xAI gị (BYOK). N'ime onye nchịkọta akụkọ, a na-ebukarị nkata ahụ Ctrl+K/Cmd+K na site n'ebe ahụ ị na-arịọ maka ọrụ ọgbọ, refactoring ma ọ bụ debugging.

Malite nkwanye: "Ndepụta ihe a ga-eme" na React. Rịọ maka akụrụngwa nwere mgbakwunye/wepu/nyocha zuru oke, nko ọgbara ọhụrụ na ụdị dị mfe. Mgbe ọ weghachiri koodu, emela ka oyiri ma mado na-eleghị anya: gụọ ihe owuwu, nwalee ihe ndị bụ isi ma rụpụta ndozi.

Ntugharị eduzi: Site na Mfe ruo Dị Mkpa

Kama ịchọ izu okè nke mbụ, gaa na gburugburu. Ọmụmaatụ: R1 tinye nkwado ntinye; R2 mmetụta hover; R3 nchekwa mpaghara; R4 ihe ndị na-ebute ụzọ site n'ọrụ. Nke a na obibia mmezi micro-agbụ agbụ na-arụ ọrụ nke ọma karịa nnukwu ngwa ngwa monolithic.

Ogo nke ngwa ngwa dị mkpa. Kama "dozie ahụhụ," kọwaa: "Nkwado email na-ada; na-egosiputa mperi gbasara usoro adịghị mma.". Ma ọ bụ na arụmọrụ: "Bulite ihe nrụgharị site n'itinye memo na ibuli steeti naanị ebe kwesịrị ekwesị." Arịrịọ ndị akọwapụtara ga-alaghachi nsonazụ akọwapụtara nke ọma.

Asụsụ na ọrụ akwadoro

Grok na-arụ ọrụ nke ọma na TypeScript/JavaScript, Python, Java, Rust, C++ na GoSite na mmeghachi omume na Node, ruo na Boot mmiri, scrapers, ML bụ isi, ma ọ bụ ngwá ọrụ akpaaka. Ihe ezi uche dị na ya ime bụ ibido asụsụ ị maralarị na ọnụ ọgụgụ dị mgbagwoju anya ka ị ghọtara "ụzọ echiche" ha.

Maka otu, njikọta ya na ngwa mmepe nkịtị (grep, ọnụ, ndezi faịlụ) yana IDE na-ewu ewu na-eme ya. adabara maka ojiji kwa ụbọchị, ọ bụghị naanị maka ngosi.

Ụzọ mkpirisi ahụigodo bara uru na koodu VS/Cursor nwere Grok

Ebe ọ bụ na Grok bi na onye nchịkọta akụkọ gị, njikwa ụzọ mkpirisi na-adị ngwa ngwa. Site na ndabara na koodu VS/cursor: Ctrl+K/Cmd+K mepee nkata agbakwunyere; Ctrl + Tinye / Cmd + Tinye ziga ozi; Shift+Tinye ntinye nkwụsịtụ ahịrị na-ezigaghị; Ctrl+Shift+P/Cmd+Shift+P mepee paleti iwu ka ịgbanwee ụdị ma ọ bụ mee omume.

Ndị ọzọ bara uru: Ctrl+' gosi/zobe ọnụ ụlọ arụrụ n'ime ya; Ctrl+/ ikwu okwu/enweghị nkọwa; F2 nyegharịa akara aha; Alt+ Pịa maka otutu cursor. Ọ bụrụ na ị na-eji Copilot Chat: Ctrl+I/Cmd+I (dabere na ntọala gị) na-emepe nkata n'akụkụ. Gbanwee ụzọ mkpirisi ndị a na Mmasị ma ọ bụrụ na ị nwere ahụigodo ES.

Ogo, nchekwa na ụdị: ndepụta nyocha dị mkpa

Tupu ijikọ nsonaazụ AI, gaa na ndepụta dị nkenke: na-achịkọta na-enweghị njehie? Enwere ihe egwu nchekwa doro anya? Ọ nwere ike ịgụ na idobe ya? Ọ na-agbaso ntuziaka ụdị? Ọ gụnyere nkọwa zuru oke? Nke a nyo na-ezere teknuzu ụgwọ na na-ewusi ntụkwasị obi ike nke otu na ọkachamara.

Njehie na ngwọta ndị a na-ahụkarị: ntụkwasị obi (lelee ihe niile), enweghị nkọwa (na-enye faịlụ na nsụgharị), chefuo nche (na-akwado tiketi na ihe nzuzo), anwala (ule tupu ejikọta) na ụdị ekwekọghị ekwekọ (nchịkọta akwụkwọ / ihe nhazi).

Nkwanye n'usoro n'otu

Atụmatụ kwa izu na-arụ ọrụ nke ọma: Nnwale nke onwe S1-2, kesaa nchoputa; Ọrụ pilot S3-4 obere ihe ize ndụ, njikọta n'etiti ndị agadi na ndị ọhụrụ; Ntinye S5-6 n'ime usoro (ntụziaka, ntụle a kapịrị ọnụ maka koodu AI, mkpali na-ekekọrịta na ndebiri); Nbugharị S7-8 zuru oke na nlekota oru na-aga n'ihu.

Ụda a na-ezere ịjụ, na-emepụta ime mmeri ma detuo omume kacha mma n'ụzọ. Kwado nke a site na nkuzi nchekwa na nyocha nke mgbanwe AI-atụpụtara.

xAI Native API na REST Nhọrọ

xAI API na-ekpughe Grok site na SDK nke ya (gRPC) na nkwado nkwanye na "mmetụta echiche". Ọ bụrụ na ngwugwu gị chọrọ OpenAI ụdị REST, ọnụ ụzọ ámá dị ka CometAPI u OpenRouter inye ndakọrịta (chat/completions), model=»grok-koodu-ngwa ngwa-1″ na ihe gbara ya gburugburu ruo 256k.

Omume ọma: kọwaa ngwaọrụ/ọrụ na doro anya eserese (aha, nkọwa, parameters), jụrụ nzaghachi_format=json mgbe ị chọrọ akpaka parsing na abanye ọ bụla ngwá ọrụ oku maka reproducibility. Na mperi, tinye exponential backoff na nlekota oke RPM/TPM.

OpenRouter, CometAPI na Apidog n'ọsọ gị

Ọ bụrụ na ịnweghị ike iji xAI SDK, OpenRouter na-enye ohere base_url yana igodo nke gị na onye ahịa OpenAI; CometAPI na-arụ ọrụ dị ka àkwà mmiri akwado njedebe, bara uru na prototyping ma ọ bụ gburugburu ụlọ ọrụ nwere iwu siri ike.

Maka ule na akwụkwọ, Apidog na-eme ka ọ dị mfe ịrịọ mkpokọta, mgbanwe gburugburu ebe obibi, nkwenye na ọgbọ nke akwụkwọ ndụ ndụ; ezigbo maka otu ndị na-ekekọrịta nkọwa ma chọọ ịmegharị ule nkwekọrịta na mpụta JSON.

Arụmọrụ, ije na oke ugbu a

Na mgbakwunye na nke ya ntinye ego elu na ike ike caching (elu hit ratios na mmekọ), Grok na-eji ngwakọta nke ọkachamara na latency-kacha mma ije ozi usoro. xAI na-ebute ụzọ ọsọ na nhazi nke ngwaọrụ karịa akara kacha elu na akara akara niile.

Oke: enweghị ntinye ọhụụ maka ugbu a (Claude na-agụ onyonyo), ma nwee ike aha na-adọrọ adọrọ nke ụlọ ahịa akwụkwọ N'okwu niche, ọgwụgwọ bụ ịkọwapụta ụdịdị yana nyochaa megide akwụkwọ gọọmentị. Maka nnukwu monorepos, họrọ ọnọdụ dị oke egwu na na-achikota ngwa iji nọgide na-elekwasị anya.

Nsogbu a na-ahụkarị na ngwọta ngwa ngwa

• Azịza ndị na-ekwekọghị ekwekọ: jụọ mkpali ndị ọzọ akọwapụtara ma na-edozi nsụgharị.
• Njikọ na-adịghị mma na ntọala gị: kesaa ya repo Ọdịdị na isi faịlụ.
• Ụzọ emebiela: na-egosi omume kacha mma ugbu a na ụdị ọba akwụkwọ.
• Ọpụpụ dị ogologo na nke ukwuu: oke oke na ogologo nke nsonaazụ.

Mgbe nyocha dara ma ọ bụ ebipụ mmepụta, lelee igodo ACL, max_len na oke gburugburu. Maka SDK, melite ndabere ma mee ka ịdebanye aha gRPC. Ọ bụrụ na akara ndị ahụ na-agbagwoju anya, jụọ nkọwa dị mfe tupu koodu.

Ahụigodo na omume: ọtụtụ mmepụta ihe

Jikọta Grok na ụzọ mkpirisi na omume gị: palette iwu ịgbanwe ihe nlereanya ma ọ bụ tinye snippets; ọnụ ọnụ agbakwunyere iji mee ule na-ahapụghị echiche; na linters/formaters na tupu-ekwe maka hazie ụdị ahụ site na koodu AI mepụtara.

Na iyi abụọ na Claude, na-eme ịhịa aka ozugbo: Grok mbụ maka nkọwaClaude mechara maka nkọwa / njikarịcha; Tapawa nyocha ya dị ka "kọwa-kọwa" na PR, ma debe Grok diff dị ọcha na oke.

Nzuzo, nchekwa na ọchịchị

Nyochaa xAI, Cursor, ma ọ bụ Copilot atumatu data: otu ha si eji snippets gị, ma ọ bụrụ na ha na-azụ ha na ụlọ ọrụ nhọrọ (iche, on-prem). Na ngalaba ahaziri, kwado nnabata (GDPR, HIPAA) wee tinye njikwa igodo echekwara (mgbanwe gburugburu, vaults, ntụgharị).

Ọchịchị na-atụ ka arụmọrụ: kọwaa ọnụ ụzọ nyocha mmadụ Maka mgbanwe ndị nwere mmetụta, oku ngwaọrụ ndekọ ma jigide arịa (patches, logs) maka nyocha.

Na ihe nlereanya mere ka ọ na-aga "na gị ijeụkwụ" na nchịkọta akụkọ, a njuaka nke ụzọ mkpirisi mmụta nke ọma na ihe na-akpali akpali, mmụba na mmepụta ihe bụ ihe a na-ahụ anya. Nchikota nke obere latency, nnukwu onodu ya na ngwa ọrụ na-eme Grok Code Fast 1 bụrụ enyi na-arụ ọrụ kwa ụbọchị: ngwa ngwa mgbe ị na-emepụta ihe, nke ziri ezi mgbe ọ na-abịa n'ịmegharị, yana nghọta zuru oke iji tinye n'enweghị nsogbu na usoro gị.