
In July 2025, Chris Kim enhanced the kortix-ai/suna repository by developing a prompt-engineering feature that introduced dynamic datetime variables into agent prompts. Using Python and backend development skills, Chris created a dedicated module, custom_prompt.py, to render prompt templates with real-time context such as current date, time, and year. This approach ensured consistent and accurate datetime handling across all prompt files, reducing manual maintenance and improving automation readiness. Although no bugs were fixed during this period, the work focused on code quality and maintainability, resulting in more reliable automated prompts and streamlined user interactions within the kortix-ai/suna project.

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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