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Context Engineering — Chapter-36: References
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References In the body of the book, every paper is cited by author, year and a short identifier: an arXiv ID, or a digital object identifier (DOI), and every web source by publisher and domain. This appendix is the other side of that convention: one entry per source, with the full URL, so that you can reach the original with a click, or by typing it out by hand. Every URL here was live and working in July 2026; an internet address rots the way context does, so if one of them fails, the identifier in the body (title, author, arXiv ID, DOI) is still the way in. Papers and articles Barnett, S., et al. 2024. “Seven Failure Points When Engineering a Retrieval Augmented Generation System.” https://arxiv.org/abs/2401.05856 Chen, M., et al. 2021. “Evaluating Large Language Models Trained on Code.” https://arxiv.org/abs/2107.03374 Ji, Z., et al. 2023. “Survey of Hallucination in Natural Language Generation.” ACM Computing Surveys. https://doi.org/10.1145/3571730 Lewis, P., et al. 2020. “Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks.” Advances in Neural Information Processing Systems. https://arxiv.org/abs/2005.11401 Liu, N. F., et al. 2024. “Lost in the Middle: How Language Models Use Long Contexts.” Transactions of the Association for
Computational Linguistics. https://arxiv.org/abs/2307.03172 Maynez, J., et al. 2020. “On Faithfulness and Factuality in Abstractive Summarization.” Proceedings of the Association for Computational Linguistics. https://arxiv.org/abs/2005.00661 Parnas, D. L. 1972. “On the Criteria To Be Used in Decomposing Systems into Modules.” Communications of the ACM. https://doi.org/10.1145/361598.361623 Sennrich, R., Haddow, B., and Birch, A. 2016. “Neural Machine Translation of Rare Words with Subword Units.” https://arxiv.org/abs/1508.07909 Vaswani, A., et al. 2017. “Attention Is All You Need.” https://arxiv.org/abs/1706.03762 Vendor documentation and publications AGENTS.md (open standard, Agentic AI Foundation / Linux Foundation). https://agents.md Anthropic. 2025. “Claude Code: Best practices for agentic coding.” https://www.anthropic.com/engineering/claude- code-best-practices Anthropic. 2025. “Effective context engineering for AI agents.” https://www.anthropic.com/engineering/effective- context-engineering-for-ai-agents Anthropic. 2025. “How we built our multi-agent research system.” https://www.anthropic.com/engineering/built- multi-agent-research-system Anthropic. 2024. “Introducing the Model Context Protocol.” https://www.anthropic.com/news/model-context-protocol Anthropic. Messages API and pricing documentation. https://platform.claude.com/docs/en/api/messages Anthropic. Prompt caching documentation.
https://platform.claude.com/docs/en/build-with- claude/prompt-caching Anthropic. Claude Code documentation (memory, worktrees and GitHub Actions). https://code.claude.com/docs/en/memory and https://code.claude.com/docs/en/github-actions Anthropic. “What are Projects?” (help center). https://support.claude.com/en/articles/9517075 Chroma. Hong, K., Troynikov, A., and Huber, J. 2025. “Context Rot: How Increasing Input Tokens Impacts LLM Performance.” https://research.trychroma.com/context-rot Cognition. Yan, W. 2025. “Don’t Build Multi-Agents.” https://cognition.ai/blog/dont-build-multi-agents Cursor. Project rules, CLI and agents documentation. https://cursor.com/docs/context/rules and https://cursor.com/docs/cli/overview GitHub. Copilot documentation (repository instructions and coding agent). https://docs.github.com/en/copilot Google. 2026. “An important update: transitioning Gemini CLI to Antigravity CLI.” https://developers.googleblog.com Google. Antigravity documentation. https://antigravity.google/docs Google. Gemini API context caching documentation. https://ai.google.dev/gemini-api/docs/caching Google. “Use Gems in Gemini” (help center). https://support.google.com/gemini/answer/15235603 Model Context Protocol. Specification. https://modelcontextprotocol.io OpenAI. 2026. “Designing AI agents to resist prompt injection.” https://openai.com/index/designing-agents-to- resist-prompt-injection/
OpenAI. 2025. “Understanding prompt injections: a frontier security challenge.” https://openai.com/index/prompt- injections/ OpenAI. Prompt caching documentation. https://developers.openai.com/api/docs/guides/prompt- caching OpenAI. Codex CLI and integrations documentation. https://developers.openai.com/codex/cli OpenAI. “What is ChatGPT Projects?” (help center). https://help.openai.com/en/articles/10169521 OpenAI. tiktoken (open source tokenizer). https://github.com/openai/tiktoken OWASP GenAI Security Project. 2025. “LLM01:2025 Prompt Injection.” https://genai.owasp.org/llmrisk/llm01-prompt- injection/ Windsurf/Devin (Cognition). Documentation. https://docs.windsurf.com Other sources Architecture decision records (community templates). https://adr.github.io EditorConfig. https://editorconfig.org Git. Official documentation. https://git-scm.com/docs Google. Engineering style guides. https://google.github.io/styleguide Hansson, D. H. 2016. “The Rails Doctrine.” https://rubyonrails.org/doctrine Husain, H. 2024. “Your AI Product Needs Evals.” https://hamel.dev/blog/posts/evals/
Kamradt, G. 2023. Needle In A Haystack (test repository). https://github.com/gkamradt/LLMTest_NeedleInAHaystack Karpathy, A. 2025. Post on X about context engineering (June). https://x.com/karpathy/status/1937902205765607626 Ködel, J. C. 2026. FOCUS Architecture: Feature-Oriented, Clean, Unidirectional & Scalable. https://books.kodel.com.br/en/books/focus/ Ködel, J. C. 2026. Spec Driven Development: From Vibe Coding to Software Engineering. https://books.kodel.com.br/en/books/sdd/ Lütke, T. 2025. Post on X about context engineering (June). https://x.com/tobi/status/1935533422589399127 Martin, R. C. 2011. “Screaming Architecture.” https://blog.cleancoder.com/uncle- bob/2011/09/30/Screaming-Architecture.html Nygard, M. 2011. “Documenting Architecture Decisions.” https://cognitect.com/blog/2011/11/15/documenting- architecture-decisions Prettier. https://prettier.io TechCrunch. 2025. “xAI adds a memory feature to Grok.” https://techcrunch.com/2025/04/16/xai-adds-a-memory- feature-to-grok/ ThoughtWorks. 2017. “Lightweight Architecture Decision Records.” Technology Radar. https://www.thoughtworks.com/radar