praetorian-inc/praetorian-cli
Apr 2026 – Apr 2026
1 Month active
Languages Used
Python
Technical Skills
API integrationPythonconcurrent programmingfull stack developmentunit testing
Ryan Grunsten
PROFILE
Ryan Grunsten
Ryan Grunsten developed multi-account management capabilities for the praetorian-inc/praetorian-cli repository, focusing on the Aegis CLI tool. He implemented scalable account discovery and interactive selection, allowing administrators to manage agents and schedules across multiple accounts with improved context switching and tenant isolation. Using Python and concurrent programming, Ryan enabled parallel data loading with thread-safe counters and progress indicators, enhancing responsiveness for large datasets. He also introduced deterministic sorting, robust retry logic, and UI enhancements such as agent status columns and OS indicators. The work emphasized API integration, reliability, and test stability, addressing complex multi-tenant administration challenges in a unified workflow.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
1,957
Activity Months1
Your Network
23 peopleSame Organization
@praetorian.com15
Anthony PaimanyMember
Evan LeleuxMember
praetorian-faridaMember
Joey HoltzmanMember
josephwhenryMember
Marek GrzelakMember
Mario BartoloméMember
DS-KoolaidMember
Nathan SportsmanMember
Shared Repositories
8
Work History
April 2026
1 Commits • 1 Features
Apr 1, 2026April 2026 focused on delivering scalable, multi-account management in the Aegis CLI for Praetorian, enabling discovery and management of agents across multiple accounts with improved UX and reliability. The work established robust account-context switching, parallel data loading, and consolidated views of agents and schedules, driving faster administration and safer tenant isolation.
1 Commits • 1 Features
Apr 1, 2026April 2026 focused on delivering scalable, multi-account management in the Aegis CLI for Praetorian, enabling discovery and management of agents across multiple accounts with improved UX and reliability. The work established robust account-context switching, parallel data loading, and consolidated views of agents and schedules, driving faster administration and safer tenant isolation.
April 2026
Activity
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Quality Metrics
Correctness80.0%
Maintainability80.0%
Architecture80.0%
Performance80.0%
AI Usage60.0%
Skills & Technologies
Programming Languages
Python
Technical Skills
API integrationPythonconcurrent programmingfull stack developmentunit testing
Repositories Contributed To
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