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Sources & Further Reading

iSources checked: September 2026

Sources reviewed in September 2026: links checked for availability and extended with references for the current state. As the AI landscape evolves quickly, some details may have changed since then.

Sources

  1. JetBrains (2025). Developer Ecosystem Survey 2025. https://www.jetbrains.com/lp/devecosystem-2025/

  2. GitHub (2024). GitHub Copilot Documentation. https://docs.github.com/en/copilot

  3. Cursor (2024). Cursor Documentation. https://cursor.com/docs

  4. Anthropic (2025). Claude Code Documentation. https://code.claude.com/docs

  5. SWE-bench Leaderboard – Current ranking of AI coding models. https://www.swebench.com/

  6. McKinsey (2023). The Economic Potential of Generative AI: The Next Productivity Frontier. https://www.mckinsey.com/capabilities/mckinsey-digital/our-insights/the-economic-potential-of-generative-ai-the-next-productivity-frontier

  7. METR (2025). Measuring AI Ability to Complete Long Tasks. https://metr.org/blog/2025-03-19-measuring-ai-ability-to-complete-long-tasks/

  8. GitHub (2026). Copilot plans. https://github.com/features/copilot/plans

  9. Anysphere (2026). Cursor pricing. https://cursor.com/pricing

  10. Anthropic (2026). Claude pricing (Pro, Max, API). https://claude.com/pricing

Further Reading

Official Tool Documentation

Productivity Studies

Deep Dives