Appendix C: Further Reading and Resources

Start with the source that answers your next implementation question. These official resources were checked September 5, 2026; the reference list also retains the guide’s research papers and historical reading.

Read this	Use it for
Coding best practices — OpenAI	Writing a focused task, providing relevant context, and checking a change.
AGENTS.md instructions — OpenAI	Understanding how Codex discovers repository instructions.
Execution plans — OpenAI Cookbook	Keeping decisions and progress in a document that another session can use.
Equality expectations — testthat	Choosing exact or approximate comparisons for R tests.
Introduction to renv — Posit	Capturing package versions and restoring a project library.
targets walkthrough — rOpenSci	Turning a multistep analysis into declared dependencies and reproducible runs.
Structured data — ellmer	Defining extraction schemas, optional fields, and row-oriented outputs.
Evaluation best practices — OpenAI	Building task-specific evaluation sets and examining failures; use the principles independently of hosted services.
Agent approvals and security — OpenAI	Distinguishing permission controls and understanding which connections they cover.

For worked applications of these ideas, see the coding agent playbook. For research methodology, follow the original paper or guideline cited by the relevant chapter and check its population, assumptions, and limitations before adapting an example.