espressif/esp-iot-solution
Dec 2024 – Jan 2025
2 Months active
Languages Used
CCMakeMarkdownRSTYAML
Technical Skills
API DesignBluetooth Low Energy (BLE)Build Systems (CMake)C ProgrammingDocumentationEmbedded Systems
xiewenxiang
PROFILE
Xiewenxiang
Wenxiang Xie developed and integrated advanced Bluetooth Low Energy (BLE) features within the espressif/esp-iot-solution repository, focusing on both device discoverability and service expansion. Over two months, Wenxiang added 16-bit UUID broadcasting to BLE advertising, enabling more flexible device identification. He also implemented support for multiple BLE GATT services, including User Data, Current Time, Body Composition, and Weight Scale, using C and CMake to ensure robust firmware integration. In addition, Wenxiang refactored the BLE stack to enhance error reporting, standardizing ATT error status handling for improved reliability and maintainability across embedded systems and BLE service interactions.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
6Total
Bugs
0
Commits
6
Features
3
Lines of code
3,225
Activity Months2
Your Network
252 people
Work History
January 2025
1 Commits • 1 Features
Jan 1, 2025January 2025 monthly summary for espressif/esp-iot-solution highlighting BLE stack improvements and enhanced error reporting.
1 Commits • 1 Features
Jan 1, 2025January 2025 monthly summary for espressif/esp-iot-solution highlighting BLE stack improvements and enhanced error reporting.
January 2025
December 2024
5 Commits • 2 Features
Dec 1, 2024December 2024 (2024-12) focuses on enhancing BLE capabilities within the ESP IoT Solution repository (espressif/esp-iot-solution). No explicit bug fixes were documented in this data; feature work centers on improving device discoverability and expanding BLE service support to enable broader use cases.
December 2024
5 Commits • 2 Features
Dec 1, 2024December 2024 (2024-12) focuses on enhancing BLE capabilities within the ESP IoT Solution repository (espressif/esp-iot-solution). No explicit bug fixes were documented in this data; feature work centers on improving device discoverability and expanding BLE service support to enable broader use cases.
Activity
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Quality Metrics
Correctness91.6%
Maintainability90.0%
Architecture91.6%
Performance80.0%
AI Usage26.6%
Skills & Technologies
Programming Languages
CCMakeMarkdownRSTYAML
Technical Skills
API DesignBluetooth Low Energy (BLE)Build Systems (CMake)C ProgrammingDocumentationEmbedded SystemsFirmware DevelopmentGATT Services
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