@phdthesis{digilib75406,
           month = {March},
           title = {RANCANG BANGUN EKSTENSI VISUAL STUDIO CODE UNTUK OTOMATISASI DOKUMENTASI, PENGUJIAN, DAN ANALISIS KEAMANAN PADA APPLICATION PROGRAMMING INTERFACE (API)},
          school = {UIN SUNAN KALIJAGA YOGYAKARTA},
          author = {NIM.: 22106050078 Muhammad Afrizal},
            year = {2026},
            note = {Muhammad Didik Rohmad Wahyudi, S.T., MT.},
        keywords = {VS Code, IDE, Ekstensi, Next.js, API, Generative AI, ISO/IEC 25010.},
             url = {https://digilib.uin-suka.ac.id/id/eprint/75406/},
        abstract = {Tool fragmentation and the high intensity of context switching frequently reduce
developer productivity during the API development lifecycle, particularly within
the Next.js framework. This research aims to design and develop a Visual Studio
Code extension named "NextJS API Inspector" to automate documentation, testing
simulation, and early security analysis (Shift-Left Testing) utilizing the Google
Gemini artificial intelligence assistant. The study applied the Design and
Development (D\&D) methodology, with feasibility testing based on the ISO/IEC
25010:2023 quality model, SonarQube static analysis, and a System Usability Scale
(SUS) evaluation involving 30 respondents. The testing results demonstrated that
the extension successfully met 9 main characteristics of ISO 25010 with a 100\%
functional and compatibility success rate, a 100/100 performance efficiency score,
and achieved a Rating A (0 bugs, 0 vulnerabilities) in reliability, security, and
maintainability aspects. The user acceptance evaluation yielded an SUS score of
78.75, falling into the Good/Acceptable category. In conclusion, this extension is
proven to be functional, secure, and significantly enhances developer workflow
efficiency by reducing the cognitive load caused by application switching.}
}