Bence Nagy contributed to the semgrep/semgrep and semgrep/semgrep-docs repositories by delivering targeted improvements in DevOps and documentation over a two-month period. In semgrep/semgrep, Bence streamlined the PyPI publishing workflow by removing excessive package name reservations from the configuration, reducing friction for release managers and improving repository maintainability. This work involved careful management of YAML configuration files and coordination with cross-functional teams. In semgrep/semgrep-docs, Bence enhanced user guidance by documenting Azure OpenAI model selection and switching instructions, using Markdown to provide clear, actionable steps that help users optimize Semgrep Assistant configuration and reduce potential setup errors.