@online{boeing_genai_2024,
  author = {Seth, Abhi},
  title = {Success of Any AI Capability Is in Being Used Sustainably by the Business},
  year = {2024},
  month = {11},
  url = {https://www.cdomagazine.tech/aiml/success-of-any-ai-capability-is-in-being-used-sustainably-by-the-business-the-boeing-company-chief-enterprise-ai-and-data-officer},
  organization = {CDO Magazine},
  note = {GenAI platform deployed to 170,000 employees by late 2023}
}

@online{lockheed_genai_2024,
  author = {{Lockheed Martin}},
  title = {Empowering Innovation with Secure Generative AI Across Enterprise},
  year = {2024},
  month = {10},
  url = {https://www.lockheedmartin.com/en-us/news/features/2024/empowering-innovation-with-secure-generative-ai-across-enterprise.html},
  note = {8,000+ engineers using AI Factory}
}

@online{lockheed_genesis_2025,
  author = {{Aerospace America}},
  title = {Lockheed Martin Details Challenges Implementing AI in the DOD Marketspace},
  year = {2025},
  month = {8},
  url = {https://aerospaceamerica.aiaa.org/institute/lockheed-martin-details-challenges-implementing-ai-in-the-dod-marketspace/},
  note = {70,000 users on Genesis platform, per John Clark at AIAA Aviation Forum}
}

@online{northrop_genai_2025,
  author = {{Business Wire}},
  title = {Future Tech Accelerates Northrop Grumman's Launch of Enterprise AI Factory},
  year = {2025},
  month = {10},
  url = {https://www.businesswire.com/news/home/20251028360221/en/Future-Tech-Accelerates-Northrop-Grummans-Launch-of-Enterprise-AI-Factory}
}

@article{sclar_prompt_sensitivity_2023,
  author = {Sclar, Melanie and Choi, Yejin and Tsvetkov, Yulia and Suhr, Alane},
  title = {Quantifying Language Models' Sensitivity to Spurious Features in Prompt Design or: How I learned to start worrying about prompt formatting},
  journal = {arXiv preprint},
  year = {2023},
  eprint = {2310.11324},
  archiveprefix = {arXiv},
  url = {https://arxiv.org/abs/2310.11324},
  note = {Up to 76 accuracy points difference from minor formatting changes}
}

@article{promptbridge_2025,
  author = {Waheed, Abdul and others},
  title = {PromptBridge: Automated Cross-Model Prompt Translation},
  journal = {arXiv preprint},
  year = {2025},
  eprint = {2512.01420},
  archiveprefix = {arXiv},
  url = {https://arxiv.org/abs/2512.01420},
  note = {Automated prompt translation recovers 27-39\% of performance lost in naive transfer}
}

@online{anthropic_computer_use_2024,
  author = {{Anthropic}},
  title = {Introducing computer use, a new Claude 3.5 Sonnet, and Claude 3.5 Haiku},
  year = {2024},
  month = {10},
  url = {https://www.anthropic.com/news/3-5-models-and-computer-use}
}

@online{anthropic_mcp_2024,
  author = {{Anthropic}},
  title = {Introducing the Model Context Protocol},
  year = {2024},
  month = {11},
  url = {https://www.anthropic.com/news/model-context-protocol}
}

@online{anthropic_agents_2024,
  author = {{Anthropic}},
  title = {Building effective agents},
  year = {2024},
  month = {12},
  url = {https://www.anthropic.com/engineering/building-effective-agents}
}

@online{anthropic_claude_code_2025,
  author = {{Anthropic}},
  title = {Claude 3.7 Sonnet and Claude Code},
  year = {2025},
  month = {2},
  url = {https://www.anthropic.com/news/claude-3-7-sonnet}
}

@online{anthropic_hooks_2025,
  author = {{Anthropic}},
  title = {Claude Code Hooks},
  year = {2025},
  month = {7},
  url = {https://docs.anthropic.com/en/docs/claude-code/hooks}
}

@online{anthropic_plugins_2025,
  author = {{Anthropic}},
  title = {Claude Code Plugins},
  year = {2025},
  month = {10},
  url = {https://www.anthropic.com/news/claude-code-plugins}
}

@online{anthropic_cowork_2026,
  author = {{Anthropic}},
  title = {Cowork Research Preview},
  year = {2026},
  month = {1},
  url = {https://claude.com/blog/cowork-research-preview}
}

@online{ollama_claude_2026,
  author = {{Ollama}},
  title = {Claude Code Compatibility},
  year = {2026},
  url = {https://ollama.com/blog/claude},
  note = {Third-party compatibility layer, not officially supported by Anthropic}
}

@online{scmp_pla_deepseek_2025,
  author = {{South China Morning Post}},
  title = {China's PLA is using DeepSeek AI for non-combat support. Will actual combat be next?},
  year = {2025},
  month = {3},
  day = {23},
  url = {https://www.scmp.com/news/china/military/article/3303512/chinas-pla-using-deepseek-ai-non-combat-support-will-actual-combat-be-next},
  note = {PLA Central Theatre Command announced embedded deployment of DeepSeek R1-70B on local servers}
}

@online{jamestown_deepseek_pla_2025,
  author = {{Jamestown Foundation}},
  title = {DeepSeek Use in PRC Military and Public Security Systems},
  journal = {China Brief},
  year = {2025},
  month = {10},
  url = {https://jamestown.org/program/deepseek-use-in-prc-military-and-public-security-systems/},
  note = {Systematic analysis of dozens of PLA procurement documents citing DeepSeek-based tools}
}

@online{stackoverflow_survey_2025,
  author = {{Stack Overflow}},
  title = {2025 Stack Overflow Developer Survey - AI},
  year = {2025},
  url = {https://survey.stackoverflow.co/2025/ai},
  note = {84\% of developers using or planning to use AI tools}
}

@online{jetbrains_survey_2025,
  author = {{JetBrains}},
  title = {The State of Developer Ecosystem 2025 - Artificial Intelligence},
  year = {2025},
  url = {https://devecosystem-2025.jetbrains.com/artificial-intelligence},
  note = {85\% of developers regularly use AI tools}
}

@online{github_copilot_fortune100_2025,
  author = {{TechCrunch}},
  title = {GitHub Copilot crosses 20M all-time users},
  year = {2025},
  month = {7},
  url = {https://techcrunch.com/2025/07/30/github-copilot-crosses-20-million-all-time-users/},
  note = {90\% of Fortune 100 companies use GitHub Copilot}
}

@online{mordor_ai_code_market_2025,
  author = {{Mordor Intelligence}},
  title = {AI Code Tools Market Size, Share \& 2030 Trends Report},
  year = {2025},
  url = {https://www.mordorintelligence.com/industry-reports/artificial-intelligence-code-tools-market},
  note = {Market size USD 7.37 billion in 2025, 26.6\% CAGR}
}

@article{mit_microsoft_copilot_2024,
  author = {Cui, Zheyuan and Demirer, Mert and Jaffe, Sonia and Musolff, Leon and Peng, Sida and Salz, Tobias},
  title = {The Effects of Generative AI on High-Skilled Work: Evidence from Three Field Experiments with Software Developers},
  year = {2024},
  url = {https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4945566},
  note = {26\% increase in completed tasks across 4,867 developers at Microsoft, Accenture, and Fortune 100}
}

@online{opsera_copilot_2025,
  author = {{Opsera}},
  title = {GitHub Copilot Adoption Trends: Insights from Real Data},
  year = {2025},
  month = {2},
  url = {https://www.opsera.io/blog/github-copilot-adoption-trends-insights-from-real-data},
  note = {Time to open a PR dropped from 9.6 days to 2.4 days among teams using GitHub Copilot}
}

@article{metr_ai_productivity_2025,
  author = {{METR}},
  title = {Measuring the Impact of Early-2025 AI on Experienced Open-Source Developer Productivity},
  year = {2025},
  month = {7},
  url = {https://metr.org/blog/2025-07-10-early-2025-ai-experienced-os-dev-study/},
  eprint = {2507.09089},
  archiveprefix = {arXiv},
  note = {19\% slower with AI tools for experienced developers on familiar codebases}
}

@article{github_copilot_productivity_2023,
  author = {Peng, Sida and Kalliamvakou, Eirini and Cihon, Peter and Demirer, Mert},
  title = {The Impact of AI on Developer Productivity: Evidence from GitHub Copilot},
  journal = {arXiv preprint},
  year = {2023},
  eprint = {2302.06590},
  archiveprefix = {arXiv},
  url = {https://arxiv.org/abs/2302.06590},
  note = {55.8\% faster task completion in controlled study of 95 developers}
}

@online{novo_nordisk_claude_2025,
  author = {{Anthropic}},
  title = {Novo Nordisk: Transforming Clinical Report Writing with Claude},
  year = {2025},
  url = {https://claude.com/customers/novo-nordisk},
  note = {Reduced clinical report writing from 10+ weeks to 10 minutes}
}

@online{telus_claude_2025,
  author = {{Anthropic}},
  title = {TELUS boosts workplace innovation with Claude},
  year = {2025},
  url = {https://claude.com/customers/telus},
  note = {Engineering teams shipping code 30\% faster; 57,000 employees using AI company-wide}
}

@online{pfizer_claude_aws_2024,
  author = {{AWS}},
  title = {Driving Patient-Centric Innovation in Life Sciences Using Generative AI with Pfizer},
  year = {2024},
  url = {https://aws.amazon.com/solutions/case-studies/pfizer-PACT-case-study/},
  note = {Scientists could save up to 16,000 hours annually in research time}
}

@online{swebench_2024,
  author = {Jimenez, Carlos E. and Yang, John and Wettig, Alexander and Yao, Shunyu and Pei, Kexin and Press, Ofir and Narasimhan, Karthik},
  title = {SWE-bench: Can Language Models Resolve Real-World GitHub Issues?},
  year = {2024},
  url = {https://www.swebench.com/},
  note = {Industry standard benchmark for AI on real-world software engineering}
}

@online{cursor_valuation_2025,
  author = {{CNBC}},
  title = {AI startup Cursor raises \$2.3 billion funding round at \$29.3 billion valuation},
  year = {2025},
  month = {11},
  url = {https://www.cnbc.com/2025/11/13/cursor-ai-startup-funding-round-valuation.html},
  note = {Series D funding, tripled valuation in 5 months}
}

@online{genai_mil_2025,
  author = {{Google Cloud}},
  title = {Chief Digital and Artificial Intelligence Office Selects Google Cloud's AI to Power GenAI.mil},
  year = {2025},
  month = {12},
  url = {https://www.googlecloudpresscorner.com/2025-12-09-Chief-Digital-and-Artificial-Intelligence-Office-Selects-Google-Clouds-AI-to-Power-GenAI-mil},
  note = {3 million DoD personnel at IL5}
}

@online{fedramp_20x_2025,
  author = {{FedRAMP}},
  title = {FedRAMP 20x Overview},
  year = {2025},
  month = {3},
  url = {https://www.fedramp.gov/20x/},
  note = {Authorization timeline reduced from 12+ months to ~5 weeks through automation}
}

@online{aws_claude_code_govcloud_2025,
  author = {{AWS}},
  title = {Guidance for Claude Code with Amazon Bedrock},
  year = {2025},
  url = {https://github.com/aws-solutions-library-samples/guidance-for-claude-code-with-amazon-bedrock},
  note = {Official AWS guidance supporting Claude Code deployment in both Commercial and GovCloud (US) partitions}
}

@online{aws_claude_govcloud_2025,
  author = {{AWS}},
  title = {Anthropic's Claude Sonnet 4.5 is now in Amazon Bedrock in AWS GovCloud (US)},
  year = {2025},
  month = {11},
  url = {https://aws.amazon.com/about-aws/whats-new/2025/11/anthropics-claude-sonnet-4-5-amazon-bedrock-aws-govcloud-us/},
  note = {Claude Sonnet 4.5 available in AWS GovCloud US-West and US-East via Cross-Region Inference}
}

@online{anthropic_fedramp_high_2025,
  author = {{Anthropic}},
  title = {Claude in Amazon Bedrock achieves FedRAMP High authorization},
  year = {2025},
  url = {https://www.anthropic.com/news/claude-in-amazon-bedrock-fedramp-high},
  note = {Claude 3.5 Sonnet and Claude 3 Haiku achieve FedRAMP High and DoD IL4/IL5 authorization}
}

@online{blue_origin_aws_2025,
  author = {{AWS}},
  title = {How Blue Origin Built the First AI Agent-Designed Hardware for the Moon in Days, Not Years},
  year = {2025},
  url = {https://aws.amazon.com/solutions/case-studies/blue-origin-case-study/},
  note = {95\% of software engineers use GenAI tools, 2,700+ AI agents deployed, 70\% company-wide adoption}
}