# Sources

> Every paper, post and tool the book cites — all 181 links, grouped by chapter.

- **Source:** https://ainativesoftware.engineering/book/sources
- **Site:** AI-Native Software Engineering — https://ainativesoftware.engineering/book

Every paper, post, spec and tool the manuscript cites, grouped by the chapter that cites it. Generated from the manuscript itself, so it is what the book actually points at.

- **Links:** 181
- **Sources:** 107
- **Chapters:** 11
- **Generated from manuscript commit:** 9248692

## Chapter 1: The AI-Native Engineer

1. https://addyo.substack.com/p/the-ai-native-software-engineer
2. https://en.wikipedia.org/wiki/Jevons_paradox
3. https://loige.co/the-senior-dev/
4. https://martinfowler.com/articles/harness-engineering.html
5. https://openai.com/index/harness-engineering/
6. https://www.youtube.com/watch?v=vif8NQcjVf0&t=7262
7. https://x.com/Vtrivedy10/status/2031408954517971368

## Chapter 2: From LLMs to Agents

1. https://aider.chat/
2. https://artificialanalysis.ai/
3. https://arxiv.org/abs/1706.03762
4. https://arxiv.org/abs/2210.03629
5. https://arxiv.org/abs/2307.03172
6. https://arxiv.org/abs/2402.03300
7. https://arxiv.org/abs/2404.06654
8. https://arxiv.org/abs/2406.16264
9. https://arxiv.org/abs/2501.12948
10. https://bolt.new/
11. https://claude.ai/design
12. https://claude.com/product/claude-code
13. https://cursor.com/
14. https://cursor.com/docs/cloud-agent
15. https://devin.ai/
16. https://docs.github.com/en/copilot/concepts/agents/cloud-agent/about-cloud-agent
17. https://en.wikipedia.org/wiki/Goodhart%27s_law
18. https://github.com/features/copilot
19. https://github.com/google-gemini/gemini-cli
20. https://github.com/openai/codex
21. https://graphite.com/
22. https://huggingface.co/blog/tiny-agents
23. https://lovable.dev/
24. https://openai.com/codex/
25. https://openreview.net/forum?id=pwIGnH2LHJ
26. https://v0.app/
27. https://www.anthropic.com/engineering/building-effective-agents
28. https://www.coderabbit.ai/
29. https://www.figma.com/make/
30. https://www.greptile.com/
31. https://zed.dev/

## Chapter 3: Context Engineering Fundamentals

1. https://agents.md/
2. https://agentskills.io/home
3. https://arxiv.org/abs/1706.03762
4. https://arxiv.org/abs/2307.03172
5. https://arxiv.org/abs/2602.11988
6. https://arxiv.org/pdf/2306.15595
7. https://code.claude.com/docs/en/best-practices
8. https://github.blog/ai-and-ml/github-copilot/how-to-write-a-great-agents-md-lessons-from-over-2500-repositories/
9. https://langserver.org/
10. https://learn.chatgpt.com/docs/agent-configuration/agents-md
11. https://openreview.net/forum?id=R6q67CDBCH
12. https://platform.claude.com/docs/en/agents-and-tools/agent-skills/best-practices
13. https://pmc.ncbi.nlm.nih.gov/articles/PMC2864034/
14. https://tessl.io/
15. https://www.anthropic.com/engineering/effective-context-engineering-for-ai-agents
16. https://www.skills.sh/
17. https://www.trychroma.com/research/context-rot

## Chapter 4: Model Context Protocol

1. https://arxiv.org/pdf/2506.13538
2. https://docs.github.com/en/copilot/how-tos/administer-copilot/manage-mcp-usage/configure-mcp-registry
3. https://github.com/HKUDS/CLI-Anything
4. https://github.com/PrefectHQ/fastmcp
5. https://github.com/punkpeye/awesome-mcp-servers
6. https://invariantlabs.ai/blog/mcp-github-vulnerability
7. https://invariantlabs.ai/blog/mcp-security-notification-tool-poisoning-attacks
8. https://mcp.so
9. https://microsoft.github.io/language-server-protocol/
10. https://modelcontextprotocol.io/docs/2026-07-28/sdk
11. https://modelcontextprotocol.io/docs/2026-07-28/tools/inspector
12. https://modelcontextprotocol.io/specification/2026-07-28
13. https://owasp.org/www-project-mcp-top-10/
14. https://registry.modelcontextprotocol.io
15. https://www.anthropic.com/engineering/advanced-tool-use
16. https://www.anthropic.com/engineering/code-execution-with-mcp
17. https://www.cs.virginia.edu/~evans/cs551/saltzer/
18. https://www.docker.com/blog/docker-mcp-ai-agent-developer-setup/
19. https://www.microsoft.com/en-us/research/blog/tool-space-interference-in-the-mcp-era-designing-for-agent-compatibility-at-scale/

## Chapter 5: Spec-Driven Development

1. https://arxiv.org/abs/2411.01414
2. https://mapsworkshop.github.io/assets/LLM_Code_Error_Analysis_MAPS2023_camera-ready.pdf

## Chapter 6: The SDD Workflow

1. https://en.wikipedia.org/wiki/Characterization_test
2. https://en.wikipedia.org/wiki/Test-driven_development
3. https://github.com/architecture-decision-record/architecture-decision-record
4. https://martinfowler.com/articles/continuousIntegration.html
5. https://martinfowler.com/articles/feature-toggles.html
6. http://www.extremeprogramming.org/rules/spike.html

## Chapter 7: SDD Frameworks Compared

1. https://alistairmavin.com/ears/
2. https://developer.microsoft.com/blog/spec-driven-development-spec-kit
3. https://docs.bmad-method.org/explanation/build/
4. https://docs.bmad-method.org/reference/core-tools/#bmad-review
5. https://docs.bmad-method.org/reference/testing/
6. https://github.blog/ai-and-ml/generative-ai/spec-driven-development-with-ai-get-started-with-a-new-open-source-toolkit/
7. https://github.com/addyosmani/agent-skills
8. https://github.com/bmad-code-org/bmad-method
9. https://github.com/bmad-code-org/BMAD-METHOD/tree/main/src/bmm-skills/plan/bmad-document-project
10. https://github.com/Fission-AI/OpenSpec
11. https://github.com/github/spec-kit
12. https://github.com/github/spec-kit/blob/main/spec-driven.md
13. https://github.github.io/spec-kit/community/extensions.html
14. https://kiro.dev/

## Chapter 8: Verification and Quality Gates

1. https://arxiv.org/abs/2310.13548
2. https://blog.cloudflare.com/ai-code-review/
3. https://codeintelligently.com/blog/architecture-fitness-functions-testing
4. https://docs.astral.sh/ruff/
5. https://docs.dynatrace.com/docs/deliver/service-level-objectives
6. https://docs.github.com/en/code-security/concepts/supply-chain-security/dependabot-version-updates
7. https://docs.renovatebot.com/
8. https://dora.dev/research/
9. https://en.wikipedia.org/wiki/Theory_of_constraints
10. https://engineering.fb.com/2025/09/30/security/llms-are-the-key-to-mutation-testing-and-better-compliance/
11. https://eslint.org/
12. https://fast-check.dev/
13. https://fossa.com/
14. https://genai.owasp.org/resource/owasp-top-10-for-llm-applications-2025/
15. https://github.com/boxed/mutmut
16. https://github.com/dequelabs/axe-core
17. https://github.com/gitleaks/gitleaks
18. https://github.com/GoogleChrome/lighthouse-ci
19. https://github.com/HolmesGPT/holmesgpt
20. https://github.com/jendrikseipp/vulture
21. https://github.com/microsoft/pyright
22. https://github.com/ossf/scorecard
23. https://github.com/semgrep/semgrep
24. https://github.com/sverweij/dependency-cruiser
25. https://github.com/The-PR-Agent/pr-agent
26. https://golangci-lint.run/
27. https://google.github.io/eng-practices/review/developer/small-cls.html
28. https://grafana.com/products/cloud/ai-observability/
29. https://hypothesis.readthedocs.io/en/latest/
30. https://knip.dev/
31. https://martinfowler.com/articles/harness-engineering.html
32. https://mypy-lang.org/
33. https://opentelemetry.io/
34. https://owasp.org/www-project-top-ten/
35. https://pact.io/
36. https://pitest.org/
37. https://pkg.go.dev/cmd/gofmt
38. https://prettier.io/
39. https://sentry.io/product/seer/
40. https://slsa.dev/
41. https://sre.google/workbook/alerting-on-slos/
42. https://sre.google/workbook/canarying-releases/
43. https://stryker-mutator.io/
44. https://trivy.dev/
45. https://www.archunit.org/
46. https://www.checkov.io/
47. https://www.coderabbit.ai/
48. https://www.cve.org/
49. https://www.dash0.com/agent0
50. https://www.datadoghq.com/product/ai/bits-investigation/
51. https://www.infoq.com/news/2026/04/claude-code-review/
52. https://www.ox.security/blog/static-application-security-sast-tools/
53. https://www.sigstore.dev/
54. https://www.sonarsource.com/products/sonarqube/
55. https://www.typescriptlang.org/tsconfig/#strict

## Chapter 9: Agent Orchestration Patterns

1. https://addyosmani.com/blog/code-agent-orchestra/
2. https://arxiv.org/abs/2503.10657
3. https://arxiv.org/abs/2603.04445
4. https://code.claude.com/docs/en/workflows
5. https://docs.github.com/en/copilot/concepts/agents/copilot-cli/context-management
6. https://factory.ai/news/software-factory
7. https://ghuntley.com/ralph/
8. https://git-scm.com/docs/git-worktree
9. https://learn.chatgpt.com/docs/codex-sdk
10. https://www.anthropic.com/engineering/building-effective-agents
11. https://www.anthropic.com/engineering/effective-context-engineering-for-ai-agents
12. https://www.anthropic.com/engineering/multi-agent-research-system
13. https://www.epam.com/insights/ai/blogs/building-a-dark-factory-with-ai-agents
14. https://www.mindstudio.ai/blog/what-is-a-dark-factory-ai-agent

## Chapter 10: Scaling AI-Native Engineering in Teams

1. https://addyo.substack.com/p/avoiding-skill-atrophy-in-the-age
2. https://ainativesoftware.engineering/canvas
3. https://docs.github.com/en/copilot/tutorials/roll-out-at-scale/enable-developers/drive-adoption
4. https://dora.dev/research/2025/dora-report/
5. https://en.wikipedia.org/wiki/Business_model_canvas
6. https://getdx.com/research/measuring-developer-productivity-with-the-dx-core-4/
7. https://github.com/antirez/ds4
8. https://lanziani.com/posts/2025/10/skeptical-to-believer/
9. https://survey.stackoverflow.co/2025/ai
10. https://www.bain.com/insights/from-pilots-to-payoff-generative-ai-in-software-development-technology-report-2025/
11. https://www.digitalapplied.com/blog/change-management-ai-adoption-2026-overcoming-resistance-playbook
12. https://www.faros.ai/research/ai-acceleration-whiplash
13. https://www.oreilly.com/library/view/scaling-ai-adoption/0642572246563/
14. https://www.paulmduvall.com/sharing-ai-development-rules-across-your-organization/
15. https://www.sei.cmu.edu/library/ai-adoption-maturity-model/

## Chapter 11: AI-Native in Practice at Cogwheel

1. https://github.com/vercel-labs/agent-skills/tree/main/skills/react-best-practices

Links rot. A dead or moved one is corrected on the updates page, not silently here.

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_AI-Native Software Engineering by Alfonso Graziano (O'Reilly Media, Early Release; print edition February 2027). Every page of ainativesoftware.engineering is also served as Markdown: append `.md` to any URL. Index: https://ainativesoftware.engineering/llms.txt — whole site in one file: https://ainativesoftware.engineering/llms-full.txt._