
During July 2025, Chris Kim developed a prompt-engineering enhancement for the kortix-ai/suna repository, focusing on backend development and Python. He introduced dynamic datetime variables into agent prompts, allowing templates to automatically render the current date, time, and year. This was achieved by creating a dedicated rendering module, custom_prompt.py, which ensures consistent and accurate datetime handling across all prompt files. The work improved the reliability and maintainability of automated prompts, reducing manual updates and supporting downstream automation. Although no bugs were fixed during this period, Chris concentrated on delivering a robust feature with attention to code quality and maintainability.
July 2025: Delivered a targeted prompt-engineering enhancement for kortix-ai/suna by enabling dynamic datetime variables in agent prompts and introducing a dedicated rendering module. This change renders prompts with current date/time context ({{current_date}}, {{current_time}}, {{current_year}}), ensuring consistency across prompt templates and reducing manual maintenance. No major bugs fixed this month; the focus was on feature delivery, code quality, and maintainability. The upgrade improves reliability of automated prompts, contributing to better user interactions and downstream automation.
July 2025: Delivered a targeted prompt-engineering enhancement for kortix-ai/suna by enabling dynamic datetime variables in agent prompts and introducing a dedicated rendering module. This change renders prompts with current date/time context ({{current_date}}, {{current_time}}, {{current_year}}), ensuring consistency across prompt templates and reducing manual maintenance. No major bugs fixed this month; the focus was on feature delivery, code quality, and maintainability. The upgrade improves reliability of automated prompts, contributing to better user interactions and downstream automation.

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