evcc-io/evcc
Mar 2026 – Mar 2026
1 Month active
Languages Used
GoYAML
Technical Skills
API IntegrationAPI integrationBackend DevelopmentGo DevelopmentYAMLconfiguration management
Martin Porsch
PROFILE
Martin Porsch
Martin worked on the evcc-io/evcc repository, focusing on enhancing EcoFlow integration to support broader ecosystem adoption. He introduced a new EcoFlow Stream meter, replacing the previous PowerOcean model, and updated configuration workflows by substituting device IDs with serial numbers to streamline onboarding and reduce misconfigurations. His work involved refining YAML-based configuration templates with regional options and clearer error handling, improving both user experience and troubleshooting. Martin strengthened backend data retrieval reliability through improved API integration, leveraging his skills in Go development and configuration management. The work demonstrated depth in feature delivery and attention to code quality, though no bugs were recorded.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
2Total
Bugs
0
Commits
2
Features
1
Lines of code
439
Activity Months1
Your Network
153 peopleWork History
March 2026
2 Commits • 1 Features
Mar 1, 2026March 2026 monthly summary for evcc-io/evcc focusing on feature delivery and technical excellence aligned with business value. The month concentrated on enhancing EcoFlow integration, refining configuration and templates, and improving data retrieval reliability to support broader EcoFlow ecosystem adoption. No explicit major bug fixes were recorded in the provided data; activity centered on feature improvements, code quality, and developer experience.
2 Commits • 1 Features
Mar 1, 2026March 2026 monthly summary for evcc-io/evcc focusing on feature delivery and technical excellence aligned with business value. The month concentrated on enhancing EcoFlow integration, refining configuration and templates, and improving data retrieval reliability to support broader EcoFlow ecosystem adoption. No explicit major bug fixes were recorded in the provided data; activity centered on feature improvements, code quality, and developer experience.
March 2026
Activity
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Quality Metrics
Correctness90.0%
Maintainability90.0%
Architecture90.0%
Performance90.0%
AI Usage30.0%
Skills & Technologies
Programming Languages
GoYAML
Technical Skills
API IntegrationAPI integrationBackend DevelopmentGo DevelopmentYAMLconfiguration management
Repositories Contributed To
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