Abstract
Ushbu maqolada sun’iy intellekt (SI) texnologiyalarining dasturlash jarayoniga integratsiyalashuvi va uning samaradorlikka ta’sirini tahlil qilinadi. Tadqiqot natijalari kod yozish tezligi va xatoliklarni kamaytirish bo‘yicha o‘tkazilgan tajribalarni o‘z ichiga oladi. Shuningdek, maqolada global kompaniyalar — Google, Microsoft, Amazon va Meta — tajribalariga asoslanib, SI’ni dasturlash jarayoniga tatbiq etish amaliyoti va uning samaradorlikka ta’siri ko‘rib chiqiladi.
References
McKinsey – Unleashing developer productivity with generative AI
Measuring AI's Impact on Developer Productivity https://arxiv.org/abs/2509.19708
Daniel J. Abadi "Katta ma'lumotlarni boshqarish tizimlaridagi tendentsiyalar" jurnali: ACM Computing Surveys 2021
GitHub. Does GitHub Copilot Improve Code Quality? GitHub Blog, 2023. https://github.blog/news-insights/research/does-github-copilot-improve-code-quality-heres-what-the-data-says
Google AI Blog. AlphaCode: Solving Competitive Programming Problems with AI. 2023. https://ai.googleblog.com/2023/01/alphacode.html
Amazon Web Services (AWS). AIOps and AI in DevOps: Automating IT Operations. 2022. https://aws.amazon.com/aiops/
Meta AI. Using AI for Code Analysis and Quality Improvement. 2022. https://ai.facebook.com/blog/meta-ai-code-analysis/