LLM-ASOSIY AGENTLAR ARXITEKTURASI: DASTURIY INJINIRINGNI AVTOMATLASHTIRISHDA SUNʼIY INTELLEKTNING YANGI PARADIGMASI
Qabul qilingan: 2026-05-31
Nashr etilgan: 2026-06-06
Annotatsiya
Ushbu maqolada katta til modellari (LLM) asosidagi agentlar arxitekturasining dasturiy injiniring sohasidagi inqilobiy ahamiyati ilmiy-tahliliy jihatdan oʼrganiladi. ReAct, Chain-of-Thought va Reflexion paradigmalari taqqoslanib, ularning murakkab muhandislik vazifalarini yechishdagi samaradorligi baholanadi. Multi-agent tizimlar va vositalar bilan boyitilgan (tool-augmented) agentlarning arxitektura tamoyillari, ularni dasturiy taʼminot ishlab chiqish hayot siklining (SDLC) turli bosqichlariga integratsiyalash usullari tahlil qilinadi. Tadqiqot GitHub Copilot, Amazon CodeWhisperer, Devin va OpenClaw kabi tijorat hamda ochiq kodli agentik platformalar uchun empirik koʼrsatkichlarga asoslanib, Oʼzbekiston dasturiy taʼminot sanoati uchun amaliy tavsiyalar ishlab chiqadi. Natijalar shuni koʼrsatadiki, LLM-agentlarning toʼgʼri arxitektura asosida joriy etilishi dasturchining unumdorligini 35–65% ga oshirishi va xatolarni bartaraf etish sikllarini sezilarli darajada qisqartirishi mumkin.
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Mualliflik huquqi (c) 2026 MMIT Proceedings
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