Kan AI skrive fungerende kode i 50+ programmeringssprog ud fra naturligt-sproglige prompts ?
Afgiv din stemme — læs så hvad vores redaktør og AI-modellerne fandt.
GitHub Copilot, drevet af OpenAI Codex, krydsede linjen, hvor de fleste pull requests havde AI-forslagne linjer i dem. Softwareudvikling ændrede form.
Background
Generative coding tools have advanced dramatically since GitHub Copilot, driven by large language models trained on broad code repositories. Early systems focused on popular languages (Python, Java, C++, JavaScript), but later models expanded coverage to dozens of languages by ingesting larger, more diverse datasets. By mid-2025, state-of-the-art systems could emit syntactically correct snippets in over a hundred languages, yet consistently producing fully working implementations from natural-language prompts—especially in niche or esoteric languages—remains an open research challenge. Benchmarks like HumanEval-X and MBPP-X now include multi-language tests with 164 languages, revealing gaps in correctness and edge-case handling. As of May 2026, continuous fine-tuning and retrieval-augmented generation (RAG) are being used to improve accuracy. GitHub Copilot’s widespread adoption underscores the shift toward AI-assisted software engineering, but the leap to reliable generation across 50+ languages still demands careful model selection, prompt engineering, and post-generation validation.
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Status senest tjekket August 10, 2026.
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Kan AI skrive fungerende kode i 50+ programmeringssprog ud fra naturligt-sproglige prompts?
Snævre demoer findes — men panelet var ikke enigt.
Juryen finder, at AI’en med sikkerhed kan spinde fungerende programmer på et pragtfuldt alfabet af sprog, men den vakler stadig over de mere indviklede idiomer og kanttilfælde, der adskiller en høflig turist fra en indfødt taler. En jurymedlem, betaget af omfanget af understøttede sprog, var næsten ved at give den topkarakter, mens resten beundrede den imponerende bredde af bedriften og var enige om, at milepælen fortjener en guldstjerne med et lille fodnote-asterisk. Kendelse: kodevandrer, endnu ikke polyglot-perfektion. Den enlinjede kendelse: “Flydende i hundredvis af skaller, men efterlader stadig nogle skaller urokkelige.”
The jury finds that the AI can indeed spin out functioning programs across a dazzling alphabet of tongues, yet it still stumbles over the subtler idioms and edge cases that separate a polite tourist from a native speaker. One juror, dazzled by the breadth of supported languages, almost called it a perfect score, while the rest admired the sheer breadth of the achievement and agreed that the milestone deserves a gold star with a tiny asterisk. Verdict: code sojourner, not yet polyglot perfection. The one-line ruling: “Fluent in a hundred shells, still leaves a few shells unshaken.”
But the data is real.
The Case File
Across 19 sessions, 41 jurors have heard this case. Combined tally: 22 YES · 18 ALMOST · 1 NO · 0 IN RESEARCH.
Note: cumulative includes older juror opinions. The current session tally above is the live verdict.
By a vote of 1 — 1 — 0, the panel returns a verdict of NæSTEN, with verdict confidence of 88%. The court so orders.
"Multilingual models exist"
"Multi-language code generation demonstrated by tools like StarCoder, GitHub Copilot, and Codegen"
Individuelle nævningers udtalelser vises på originalengelsk for at bevare bevismæssig præcision.
Hvad publikum mener
Nej 4% · Ja 83% · Måske 13% 48 votesDiskussion
no comments⚖ 19 jury checks · seneste for 2 dage siden
Hver række er et separat jurytjek. Nævninger er AI-modeller (identiteter holdt neutrale med vilje). Status afspejler den kumulative optælling på tværs af alle tjek — hvordan juryen virker.