Buyela Ezindabeni
UmkhiqizoAI Understanding ukwaziswa

I-GitHub yenza ithebhu ethi Yenza ngokwezifiso yohlelo lokusebenza lwe-Copilot itholakale ngokuvamile

Uhlelo lokusebenza lwe-GitHub lwe-Copilot manje lunikeza ithebhu evame ukutholakala ethi Yenza ngokwezifiso ukuze uthole amaseva e-MCP, ama-plugin, amakhono, amakhanvasi, nokugeleza komsebenzi okufakiwe.

5 min readRead the primary source
Primary-source image accompanying GitHub makes Copilot app’s Customize tab generally available
Idokhumenti yomthombo oyinhlokoUmthombo urekhodiwe
Umshicileli
github.blog
Isixhumanisi somthombo
github.bloghttps://github.blog/changelog/2026-08-25-github-copilot-app-customize-tab-is-generally-available
Uhlobo lomthombo
Idokhumenti eyisisekelo — isimemezelo esisemthethweni, iphepha, ukugcwalisa, noma ikhasi lomuntu wokuqala esilifunda ngokuqondile.
UmongoQonda lokhu ngemizuzwana engama-60

Qala lapha

Imigomo ebalulekile

I-MCP (Model Context Protocol)
Iphrothokholi evulekile evumela izinhlelo zokusebenza ze-AI ukuthi zixhume kumathuluzi angaphandle, imithombo yedatha, nabahlinzeki bomongo ngendlela evamile.
Isici
Okuhluka okokufaka okusetshenziswe imodeli ukwenza izibikezelo.
ZihloleImibuzo ye-AI Agents

Kwenzekeni

I-GitHub ithi ithebhu ethi Yenza Ngokwezifiso kuhlelo lwayo lokusebenza lwe-Copilot isiyatholakala manje. Ithebhu iletha amaseva e-MCP, ama-plugin, amakhono, namakhanvasi endaweni eyodwa, nokwenza ngokwezifiso okufakiwe kanye nokuphequlula ngohlobo noma isigaba. I-GitHub iphinde igqamise ukugeleza komsebenzi ongemuva kwe-Azure DevOps okungasiza abasebenzisi ukuhlola, ukubeka phambili, ukwabela okulandelwayo, nokuthumela umsebenzi ku-Copilot.

I-GitHub yamemezela ngo-Agasti 25, 2026, ukuthi ithebhu ethi Yenza ngokwezifiso kuhlelo lokusebenza lwe-GitHub Copilot ivamise ukutholakala. Inkampani ichaza ithebhu njengendawo emaphakathi yezinhlobo ezine zokwenza ngokwezifiso: amaseva e-MCP, ama-plugin, amakhono, namakhanvasi. Amaseva e-MCP angaxhuma i-Copilot namathuluzi angaphandle noma ulwazi, kuyilapho ama-plugin, amakhono, namakhanvasi ethulwa yi-GitHub njengezindlela ezengeziwe zokujwayela uhlelo lokusebenza emsebenzini weqembu. Isimemezelo asichazi imingcele yobuchwepheshe yesigaba ngasinye noma sichaza ukuthi yomine iyatholakala kuwo wonke umsebenzisi we-Copilot.

Ithebhu ihlanganisa ukubuka Okufakiwe okuqoqa ukwenza ngokwezifiso okukhethiwe kusuka kulo lonke uhlelo lokusebenza lwe-Copilot. I-GitHub ithi abasebenzisi bangaphequlula izigaba ezinikelwe zohlobo ngalunye lokwenza ngokwezifiso futhi bathole amaseva e-MCP ngezinketho ezithrendayo noma ukuphequlula isigaba. Ushintsho olusebenzayo ngakho-ke luyingxenye yenhlangano: abasebenzisi akudingeki bazi igama noma uhlobo lokwenza ngokwezifiso ngaphambi kokulifuna. I-GitHub yethula lokhu njengendlela yokusiza abantu ukuthi bavumelanise i-Copilot namathuluzi, ulwazi, nokugeleza komsebenzi asebevele bekusebenzisa.

I-GitHub igqamisa ngokukhethekile amakhanvasi afakiwe kanye nokugeleza komsebenzi kwe-Azure DevOps. Ngokwesimemezelo, abasebenzisi bangacubungula izinkinga, babeke phambili izinto ezisilele emuva, banikeze okulandelayo, nomsebenzi wezandla ku-Copilot ukuze baphenye, basebenzise, ​​​​noma balungiselele ukubuyekezwa. Umthombo uchaza lokhu njengamakhono ahlobene namakhanvasi afakiwe; ayisho ukuthi i-Copilot iqeda leyo misebenzi ngaphandle kokubuyekezwa komuntu, futhi ayinikezi izibonelo, izilinganiso, noma imininingwane mayelana nezimvume ezidingekayo. Iphoyinti lokuqala le-GitHub elishiwo ukuthi uvule uhlelo lokusebenza lwe-Copilot bese ukhetha Yenza ngokwezifiso.

Imininingwane yomthombo: github.blog ↗

Kungani kubalulekile

Ushintsho lwenza ukwenza ngokwezifiso kwe-Copilot kutholakale kakhudlwana futhi kufake umsizi njengozimele njengethuluzi elingaxhuma nokugeleza komsebenzi kweqembu elikhona. Kungase kunciphise umzamo odingekayo ukuze kutholwe izandiso nemithombo yomongo, kodwa umthombo awuqinisekisi ukuthi isici sitholakala kabanzi, yiziphi izinhlelo ezifanele, noma ukuthi ukugeleza komsebenzi okusohlwini kusebenza ngokuthembekile kangakanani.

Ukutholakala kuyinkinga yomkhiqizo enengqondo yabasizi be-AI encike ekuhlanganisweni. Ithimba kungenzeka selivele lisebenzisa isilandeleli sephrojekthi, umthombo wolwazi wangaphakathi, noma ukuhamba komsebenzi okukhethekile, kodwa lokho akusho ukuthi abasebenzisi bayazi ukuthi bayixhuma kanjani ku-Copilot. Ngokuqoqa amaseva we-MCP, ama-plugin, amakhono, namakhanvasi endaweni eyodwa, i-GitHub yenza isendlalelo sokuhlanganisa sibe yingxenye yesipiliyoni somkhiqizo oyinhloko kunokusishiya kuphela kumadokhumenti, izimakethe ezihlukene, noma ukusethwa kobuchwepheshe. Lokho kwenza uzimele kuvula ukuthi ukuzizwisa okufanayo kokutholwa kuzohumusheka kanjani ekusetshenzisweni kwangempela kuwo wonke amaqembu ahlukene, amathuluzi, nezilungiselelo zenhlangano.

Lesi simemezelo futhi sibonisa ushintsho endleleni abasizi bokubhala amakhodi babekwe ngayo. I-Copilot ayichazwa nje kuphela njengohlelo lokukhiqiza noma lokuchaza ikhodi, kodwa njengomsizi ongasebenza ngamathuluzi eqembu futhi asize ukuhambisa umsebenzi ngokusalela emuva. Lokho kungenza ukuhlanganiswa kube usizo kakhulu emaqenjini esofthiwe uma amathuluzi axhunyiwe egcina umongo futhi uma abantu bengahlola futhi bagunyaze izenzo ezilandelanayo. Umthombo, nokho, usungula incazelo yomkhiqizo we-GitHub kunobufakazi obuzimele bokuthi lokhu kugeleza komsebenzi kuthuthukisa ukukhiqiza noma ikhwalithi yesofthiwe.

Ezinhlanganweni, umbuzo oyinhloko ukulawula. Ukuxhuma umsizi we-AI ezinhlelweni zangaphandle kungadalula ulwazi lwephrojekthi futhi kunikeze umsizi indlela yokuqalisa noma yokulungiselela umsebenzi. Umthombo awusho ukuthi iyiphi idatha amaseva e-MCP, ama-plugin, amakhono, noma amakhanvasi angafinyelelwa; ukuthi izimvume zitholwa kanjani njengefa; ukuthi abalawuli bangakwazi yini ukukhawulela ukufakwa; noma yiziphi izilawuli zokugawula nezigunyazo ezikhona. Futhi ayicacisi ukufaneleka kohlelo, ukutholakala kwesifunda, amanani, imikhawulo yokusetshenziswa, noma ukuthi isici sitholakala ngokufanayo kuyo yonke iminikelo ye-GitHub Copilot. Lokho kweqiwa kukhawulela lokho okungaphethwa mayelana nomthelela wokusebenza komkhiqizo.

Interactive Mechanism

I-Interactive Mechanism: Indlela Esebenza Ngayo Ngempela

Hlola ubuchwepheshe obuyisisekelo ngemuva kwalokhu kuthuthukiswa ngokuhlanganyela.

Agent Lifecycle Stage:
1
User Intent & Planning: "Audit customer refund request #4092 and settle payment."
2
Tool Calling: Emits structured JSON call crm_get_transaction(id='4092').
3
Guardrail & Verification:🛡️ Paused: High-value action requires human operator sign-off.
4
Final Settlement: Refund recorded, email receipt dispatched, and audit log stored.
Core takeaway: An AI agent is not just a language model—it is a closed loop of planning, tool invocation, and environment feedback. Production systems require self-healing retries and strict human approval guardrails.
I-Interactive Concept Check+10 Points
AI Agents Quiz

An agent must create a draft calendar event for Tuesday at 2 p.m. Which evidence would establish the requested result?

Ongakubuka ngokulandelayo

Buka ukuthi ingabe ithebhu iholela ekwamukelweni okunengqondo kwamathuluzi enkampani yangaphandle noma enhlangano ethile, ukuthi amaseva e-MCP nama-plugin abuyekezwa kanjani, kanye nokuthi yiziphi izimvume ezidingwa ukugeleza komsebenzi okuthunyiwe. Isimemezelo se-GitHub asihlinzeki ngedatha yokusetshenziswa, imininingwane yezokuphepha, amanani, ulwazi lohlelo olusekelwe, noma ukuhlolwa kokusebenza okuzimele.

Inkomba yokuqala esebenzayo kuzoba ukuthi ithebhu ethi Yenza ngokwezifiso ikhiqiza ukusetshenziswa okuqhubekayo okungaphezu kokuhlola kokuqala. I-GitHub ithi izofaka ukwenza ngokwezifiso okukhethiwe, amaseva e-MCP athrendayo, kanye nokuphequlula isigaba, kodwa isimemezelo asinikezi izibalo zenani lezinketho ezitholakalayo, ukwamukelwa, abasebenzisi abasebenzayo, noma ukuguqulwa kusuka ekutholakaleni kuya ekufakweni. Akukacaci futhi ukuthi i-GitHub ikhetha kanjani okufakiwe okufakiwe noma okuthrendayo nokuthi lezo zimpawu zibonisa ikhwalithi, ukuduma, ukuhlelwa kwezentengiso, noma enye imibandela.

Ukuphepha nokubusa kufanele kubhekwe eduze, ikakhulukazi kumaseva e-MCP nama-plugin axhuma i-Copilot kumathuluzi angaphandle noma idatha yenhlangano. I-GitHub ayiwachazi amazinga okubuyekeza, ukuqinisekiswa komshicileli, izikophu zemvume, ukuhlukaniswa, amalogi okucwaninga, ukugcinwa kwedatha, noma izilawuli zomlawuli kulesi simemezelo. Leyo mininingwane izonquma ukuthi izinhlangano zingakwazi yini ukuhlola ukwenza ngendlela oyifisayo ngaphambi kokuthunyelwa futhi zikhawulele lokho ukugeleza komsebenzi okusizwa yi-AI okungase kufundwe, kushintshe, noma kucushwe.

Isibonelo se-Azure DevOps kufanele sihlolwe imingcele ezungeze ukuthunywa. Umthombo uthi abasebenzisi bangacela i-Copilot ukuthi iphenye, isebenzise, ​​noma ilungiselele umsebenzi ohlobene nokusilela emuva, kodwa awusho ukuthi yiziphi izenzo ezidinga ukuqinisekiswa, ukuthi izinguquko zimelelwa kanjani ukuze zibuyekezwe, noma ukuthi amaphutha asingathwa kanjani. Amadokhumenti azayo noma ukuhlola kungase kucacise izinhlelo ezisekelwayo, ukutholakala kuzo zonke izifunda nezinkundla, izimfuneko zokuhlanganisa, izindawo zokugunyazwa komuntu, kanye nezinga lesi sici esishintsha ngalo ukugeleza komsebenzi kwangempela kunokwenza amathuluzi akhona atholakale kalula.

Imihlahlandlela ehlobene nemibuzo

Ama-AI AgentsAmamodeli e-AI AchaziwePrompt EngineeringChatGPT ne-LLMsHlola okwaziyo — zama imibuzo ye-AI yamahhalaBheka igama le-AI kuhlu lwethu lwamagamaLandela i-tracker yokukhishwa kwemodeli ye-AI
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