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Half the book covers decisions that don't require writing code: AI fatigue, the conductor model, adoption playbooks, governance, and measuring what matters. The technical chapters (context engineering, authorization, sandboxing, cost control) assume familiarity with how software systems work. Technical PMs and engineering managers will get full value. Non-technical readers will find roughly a third useful.\n\n## Development\n\n```bash\nnpm install\nnpm run dev\n```\n\n## Support\n\n- [Sponsor on GitHub](https://github.com/sponsors/Siddhant-K-code)\n- [Buy me a coffee](https://buymeacoffee.com/siddhantkhare)\n\n## License\n\n[CC BY-NC-SA 4.0](https://creativecommons.org/licenses/by-nc-sa/4.0/) · Copyright 2026 Siddhant Khare.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsiddhant-k-code%2Fagentic-engineering-guide","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fsiddhant-k-code%2Fagentic-engineering-guide","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsiddhant-k-code%2Fagentic-engineering-guide/lists"}