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maddiefranke

PROFILE

Maddiefranke

Developed a new API-key-only enrollment method for the Private Action Runner in the DataDog/datadog-agent repository, enabling agents to self-enroll without requiring an application key. This feature introduced a dedicated endpoint that bypasses app_key validation when only an API key is provided, while maintaining backward compatibility for existing workflows. The implementation involved backend development in Go, with enhanced logging to clarify enrollment paths and targeted tests to validate both new and legacy behaviors. Coordinated closely with server-side teams to align endpoint dependencies and prepared the feature for staging integration, improving onboarding flexibility for users lacking an application key.

Overall Statistics

Feature vs Bugs

100%Features

Repository Contributions

1Total
Bugs
0
Commits
1
Features
1
Lines of code
128
Activity Months1

Work History

May 2026

1 Commits • 1 Features

May 1, 2026

May 2026: Delivered Private Action Runner API Key Enrollment (no app key required) for DataDog/datadog-agent. Added a new enrollment path when app_key is empty that routes to /api/unstable/on_prem_runners/api_key_only, preserving existing behavior when app_key is present. Implemented API-key-only enrollment with skip of app_key validation and enhanced logging. Coordinated with server-side endpoint addition and prepared for staging integration; observed improvements in onboarding flexibility and speed for users without an application key.

Activity

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Quality Metrics

Correctness100.0%
Maintainability80.0%
Architecture80.0%
Performance80.0%
AI Usage80.0%

Skills & Technologies

Programming Languages

Go

Technical Skills

API developmentGobackend development

Repositories Contributed To

1 repo

Overview of all repositories you've contributed to across your timeline

DataDog/datadog-agent

May 2026 May 2026
1 Month active

Languages Used

Go

Technical Skills

API developmentGobackend development