Resources re: code review

[sckott]

From Candace:

These are various courses and guides I wrote about code review and reproducibility. Borrow whatever is useful so you don't have to write from scratch.

• Adv reproducibility chapters about code review:
  - https://jhudatascience.org/Adv_Reproducibility_in_Cancer_Informatics/engaging-in-code-review---as-an-author.html
  - https://jhudatascience.org/Adv_Reproducibility_in_Cancer_Informatics/engaging-in-code-review---as-a-reviewer.html
• Documentation writing and Usability course: https://jhudatascience.org/Documentation_and_Usability/
• You may want guides on using AI as well: https://hutchdatascience.org/AI_for_software/
• More thoughts on code review: https://hutchdatascience.org/code_review/

[sckott]

Thoughtbot has a code review guidelines list https://github.com/thoughtbot/guides/tree/main/code-review

[sckott]

Integration with github for code review https://houndci.com/ - doesn't support R yet, but does support PYthon