Kwenzekeni
36Kr reports that JetBrains Research’s 2026 Developer Ecosystem Survey found rapid growth in AI coding-agent use among more than 15,000 professional developers worldwide. About 90% reportedly used an AI programming agent at work at least once a week, while 68% used one daily. The survey included software developers and engineers as well as AI/ML, DevOps, architecture, data, and quality-assurance roles.
36Kr reports that JetBrains Research surveyed more than 15,000 professional developers worldwide for its 2026 Developer Ecosystem Survey, with roughly 90% of respondents described as developers, programmers, or software engineers. The reported survey period was May through July 2026. The source says the survey also covered AI/ML engineers, DevOps engineers, architects, data engineers, and QA engineers, so its headline results describe a broad professional technology audience rather than only conventional application programmers.
According to 36Kr, about 90% of professional developers used AI programming agents at work at least once a week, and 68% used them every day. JetBrains’ reported definition of an agent included locally running and cloud-based agents. The source presents those figures as evidence that agents are moving beyond occasional code completion or question answering toward participation in larger development tasks.
36Kr reports that Claude Code’s workplace adoption rose from about 18% in January 2026 to 39% in May–July. In the United States, the reported figure was 47%. The share naming Claude Code as the primary or most commonly used AI coding tool was reported at 31%. GitHub Copilot’s workplace adoption was reported at 21% in May–July, down from roughly 29%–31% between mid-2025 and early 2026. The source says both products had 79% awareness. It also reports OpenAI Codex adoption rising from 3% to 16%, Cursor declining from 18% to 12%, open-source OpenCode reaching 7%, Google Antigravity reaching 6%, and JetBrains’ own tools reaching about 9%.
Imininingwane yomthombo: eu.36kr.com ↗
Kungani kubalulekile
The figures suggest that AI coding tools are becoming part of routine software work, although the survey does not establish how much productive work agents complete or how reliable their output is. 36Kr’s account also describes a shift in market competition from editor-based assistance toward tools that can handle broader development tasks, including codebase changes, testing, and repeated execution.
Izinga elibikiwe libalulekile ngoba likhombisa ukuthi imakethe yokuthuthukiswa kwesoftware esizwa yi-AI ingase ihlukane phakathi kwezinhlobo ezahlukene zosizo. I-36Kr ichaza i-Claude Code kanye ne-Codex njengama-ejenti angasebenza ngaphezu kwendawo yentuthuko edidiyelwe evamile, kuyilapho ukwehla okubikiwe kwe-Cursor kwethulwa kanye nokukhula kokuqwashisa okuqhubekayo. Uma iphethini imele, ukuqashelwa kwethuluzi nokuphindaphinda ukusetshenziswa kwendawo yokusebenza kuba yizinyathelo ezihlukile zamandla okuncintisana.
Izilinganiso zokusetshenziswa ezibikiwe zamasonto onke nezinsuku zonke nazo zikhomba ushintsho olungase lube khona endleleni amathimba esofthiwe anikezela ngayo umsebenzi. Ama-ejenti angasetshenziselwa ukuzulazula kwendawo yokugcina, ukuguqulwa kwekhodi, ukwenza ukuhlolwa, ukulungisa iphutha, neminye imisebenzi enezinyathelo eziningi kunokukhiqiza amazwibela kuphela. Lokho kungase kuthinte ukugeleza komsebenzi kanjiniyela, izinqubo zokubuyekeza, ukugibela, kanye nokufunwa kwamathuluzi alawula izimvume, ukuhlola, ukulawula inguqulo, nemikhondo yokuhlola. Umthombo awubonisi, nokho, ukuthi ama-agent aqeda le misebenzi ngokuzimele noma anciphisa isikhathi sokuthuthukisa.
Kubathengi nabasebenzi, izibalo zokutholwa zizodwa ziwumhlahlandlela ongaphelele. Inhlolovo njengoba ichaziwe ayinikezi izilinganiso zamaphutha, izehlakalo zokuphepha, izilinganiso zekhwalithi yekhodi, izindleko eziphelele, inhlanganisela yomsebenzi, noma ubufakazi bokuthi umkhiqizo othile ukhiqiza imiphumela engcono kunomunye. Futhi ayiqinisekisi ukuthi abaphendulayo bangakwazi yini ukukhetha amathuluzi amaningi, ukuthi "ukusetshenziswa" kukalwe kanjani, ukuthi isampuli yabuthwa kanjani noma yalinganiswa kanjani, noma ukuthi imiphumela ifinyelela amafemu amancane, izindawo zokusebenza okungezona ezobuchwepheshe, noma onjiniyela abangaphandle kwenani labantu abahlolwayo. Leyo mikhawulo yenza izibalo zisebenziseke njengesifinyezo sokutholwa, hhayi njengesinqumo sokukhiqiza.
I-Interactive Mechanism: Indlela Esebenza Ngayo Ngempela
Hlola ubuchwepheshe obuyisisekelo ngemuva kwalokhu kuthuthukiswa ngokuhlanganyela.
crm_get_transaction(id='4092').An agent must create a draft calendar event for Tuesday at 2 p.m. Which evidence would establish the requested result?
Ongakubuka ngokulandelayo
The main questions are whether Claude Code can sustain its reported lead, whether OpenAI Codex continues gaining adoption, and whether GitHub Copilot or Cursor reverse their reported declines. More useful evidence would include methodology, sample weighting, task-level productivity, error rates, costs, security controls, and independent comparisons of the tools’ real-world performance.
Intuthuko elandelayo okufanele ibukwe ukuthi igebe elibikiwe liyaqhubeka yini ezinhlolovo zakamuva. Umnyakazo we-Claude Code usuka ku-18% uya ku-39% ezibalweni zomthombo mkhulu, kodwa isikhathi senhlolovo esisodwa asikwazi ukukhombisa ukuthi ingabe ukukhuphuka kubonisa ukutholwa okuhlala isikhathi eside, ukuhlola kwesikhashana, izinguquko emagameni emibuzo, noma umehluko kubantu abaphendulayo. Ukulandelela kusetshenziswa imibuzo efanayo kanye nendlela yokusampula kungenza ithrendi ibe lula ukuyitolika.
I-Codex, GitHub Copilot, kanye ne-Cursor kuzoba amaphuzu abalulekile okuqhathanisa. I-36Kr ibika ukukhula okuqinile kwe-Codex, ukwehla kwe-Copilot, nokwehla kwe-Cursor naphezu kokuqwashisa okuphezulu kwe-Cursor. Ukubika kwesikhathi esizayo kufanele kuhlukanise ukutholakala kwendawo yokusebenza esimweni sethuluzi eliyinhloko, imvamisa yokusetshenziswa, ukusetshenziswa okukhokhelwayo, nokusetshenziswa kwekhodi yokukhiqiza ewumphumela. Lokho kuhlukaniswa kungashintsha incazelo yamazinga amanje.
Ubufakazi obubaluleke kakhulu buzovela ekusetshenzisweni nasekuhloleni okulinganisa imisebenzi eqediwe kunokusetshenziswa okushiwo. Izinkomba eziwusizo zingabandakanya izilinganiso zempumelelo ezihloliwe ngokuzimele, umthwalo wokubuyekeza, ukuhlehla, ukusebenza kokuhlola, ukuvikeleka nokuvikelwa kobumfihlo, izilawuli zemvume, ukubambezeleka, kanye nezindleko ngomsebenzi ngamunye oqediwe. Umthombo awuzibiki lezi zinyathelo, futhi awuqinisekisi ngokuzimela imiphumela yocwaningo eyisisekelo ye-JetBrains Research. Kuze kube yilapho lobo bufakazi butholakala, isiphetho esicacile esisekelwayo ukuthi i-36Kr ibika ukusetshenziswa okubanzi nokukhulayo kwama-ejenti okubhala amakhodi we-AI, okuhambisana nokuhlelwa kabusha okubikiwe kokwamukelwa kwamathuluzi. Uma zihlanganiswa, izibalo zichaza ukwamukelwa nokuqwashisa emsebenzini okubikiwe, hhayi ithebula leligi eliqondile lamakhono obuchwepheshe. Inani lawo likhulu kakhulu uma lifundwa ngokuhambisana nobubanzi benhlolovo, isikhathi esishiwo, kanye nemibuzo yendlela yokusebenza ehlala ingaphendulwa ku-akhawunti etholakalayo.