google/bumble
Jan 2026 – Jan 2026
1 Month active
Languages Used
Python
Technical Skills
Code FormattingCode documentationCode formattingPythonPython developmentSoftware Development
Frieder Steinmetz
PROFILE
Frieder Steinmetz
Developed and delivered the PcapSnooper feature for the google/bumble repository, enabling live PCAP logging of HCI packets with seamless Wireshark integration for real-time traffic analysis. The implementation introduced a dedicated Python class to capture HCI traffic and write PCAP records to files or named pipes, supporting live analysis through Wireshark’s extcap interface. Subsequent work focused on enhancing code quality by adding type annotations, improving static type checking with mypy, and refining file handling for robustness. Emphasis was placed on code formatting and documentation, resulting in a maintainable backend foundation for observability and faster debugging of the HCI stack.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
5Total
Bugs
0
Commits
5
Features
1
Lines of code
180
Activity Months1
Your Network
26 peopleWork History
January 2026
5 Commits • 1 Features
Jan 1, 2026January 2026 – google/bumble: Delivered the PcapSnooper feature to enable live PCAP logging for HCI packets with Wireshark integration. The initial implementation introduced a PcapSnooper class capable of capturing HCI traffic and writing PCAP records to either a file or a named pipe, enabling live analysis via Wireshark extcap. Follow-on commits focused on code quality improvements including type annotations, robustness in file handling, and formatting for readability and maintainability.
5 Commits • 1 Features
Jan 1, 2026January 2026 – google/bumble: Delivered the PcapSnooper feature to enable live PCAP logging for HCI packets with Wireshark integration. The initial implementation introduced a PcapSnooper class capable of capturing HCI traffic and writing PCAP records to either a file or a named pipe, enabling live analysis via Wireshark extcap. Follow-on commits focused on code quality improvements including type annotations, robustness in file handling, and formatting for readability and maintainability.
January 2026
Activity
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Quality Metrics
Correctness96.0%
Maintainability92.0%
Architecture96.0%
Performance92.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
Python
Technical Skills
Code FormattingCode documentationCode formattingPythonPython developmentSoftware Developmentbackend developmentcode formattingnetwork programmingreal-time data processingtype checking
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