ISBN: 9798185619810 - claude coding volume 1 of 2: a comprehensive treatise on agentic software development vol 1; the foundations, and the first human factors (artificial intelligence) (6 resultados)

Taschenbuch. Condición: Neu. Neuware - This is a strong, publishable Book for a niche but growing audience, with notable strengths in depth and structure, tempered by stylistic and market risks. Volume I (foundations through human factors, Chapters 1-53) stands well on its own as promised, while setting up the series. It feels like a deliberate attempt at a 'classic' treatise in the vein of older engineering texts (e.g., Brooks' Mythical Man-Month or Knuth's works), updated for the agentic AI era.Strengths- Timely and Substantive Contribution: Agentic coding (tools like Claude Code that go beyond autocomplete to read/edit/run code in a loop) is a real 2025-2026 shift. Anthropic's own reports and developer discussions confirm the move toward supervision, verification, context management, multi-agent orchestration, and calibrated trust-exactly the book's core thesis. The emphasis on verification as the new center of gravity, reversibility, and human judgment over fluency is insightful and practical. It avoids hype in favor of disciplined realism, which is refreshing and valuable.- Rigorous Structure: Consistent chapter format (prose argument + quantitative thread + worked example + exercises with solutions) is excellent for a practitioner book. The delegation model (geometric distribution for attempts, speed-up S(p), overheads) in Chapter 1 is a highlight-simple, derivable math that grounds the philosophy. TOC shows comprehensive coverage: from basics to advanced engineering, languages, security, multi-agent, and psychology.- Depth and Original Framing: It treats the tool as a 'junior colleague' requiring supervision rather than magic. Sections on mental models, .claude config, skills/workflows, permission modes, and reviewing AI code fill a gap between shallow 'prompting guides' and raw docs. The literary/historical tone (genealogy of tools, control loops as contractions) adds gravitas.- Production Quality: Clean typesetting (EB Garamond), professional front matter, disclaimers, and ISSN. It positions itself as independent scholarship, which is smart given trademark sensitivities.…

Paperback. Condición: new. Paperback. This is a strong, publishable Book for a niche but growing audience, with notable strengths in depth and structure, tempered by stylistic and market risks. Volume I (foundations through human factors, Chapters 1-53) stands well on its own as promised, while setting up the series. It feels like a deliberate attempt at a "classic" treatise in the vein of older engineering texts (e.g., Brooks' Mythical Man-Month or Knuth's works), updated for the agentic AI era.StrengthsTimely and Substantive Contribution: Agentic coding (tools like Claude Code that go beyond autocomplete to read/edit/run code in a loop) is a real 2025-2026 shift. Anthropic's own reports and developer discussions confirm the move toward supervision, verification, context management, multi-agent orchestration, and calibrated trust-exactly the book's core thesis. The emphasis on verification as the new center of gravity, reversibility, and human judgment over fluency is insightful and practical. It avoids hype in favor of disciplined realism, which is refreshing and valuable.Rigorous Structure: Consistent chapter format (prose argument + quantitative thread + worked example + exercises with solutions) is excellent for a practitioner book. The delegation model (geometric distribution for attempts, speed-up S(p), overheads) in Chapter 1 is a highlight-simple, derivable math that grounds the philosophy. TOC shows comprehensive coverage: from basics to advanced engineering, languages, security, multi-agent, and psychology.Depth and Original Framing: It treats the tool as a "junior colleague" requiring supervision rather than magic. Sections on mental models, .claude config, skills/workflows, permission modes, and reviewing AI code fill a gap between shallow "prompting guides" and raw docs. The literary/historical tone (genealogy of tools, control loops as contractions) adds gravitas.Production Quality: Clean typesetting (EB Garamond), professional front matter, disclaimers, and ISSN. It positions itself as independent scholarship, which is smart given trademark sensitivities. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Condición: New. Print on Demand.

PAP. Condición: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

PAP. Condición: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Paperback. Condición: new. Paperback. This is a strong, publishable Book for a niche but growing audience, with notable strengths in depth and structure, tempered by stylistic and market risks. Volume I (foundations through human factors, Chapters 1-53) stands well on its own as promised, while setting up the series. It feels like a deliberate attempt at a "classic" treatise in the vein of older engineering texts (e.g., Brooks' Mythical Man-Month or Knuth's works), updated for the agentic AI era.StrengthsTimely and Substantive Contribution: Agentic coding (tools like Claude Code that go beyond autocomplete to read/edit/run code in a loop) is a real 2025-2026 shift. Anthropic's own reports and developer discussions confirm the move toward supervision, verification, context management, multi-agent orchestration, and calibrated trust-exactly the book's core thesis. The emphasis on verification as the new center of gravity, reversibility, and human judgment over fluency is insightful and practical. It avoids hype in favor of disciplined realism, which is refreshing and valuable.Rigorous Structure: Consistent chapter format (prose argument + quantitative thread + worked example + exercises with solutions) is excellent for a practitioner book. The delegation model (geometric distribution for attempts, speed-up S(p), overheads) in Chapter 1 is a highlight-simple, derivable math that grounds the philosophy. TOC shows comprehensive coverage: from basics to advanced engineering, languages, security, multi-agent, and psychology.Depth and Original Framing: It treats the tool as a "junior colleague" requiring supervision rather than magic. Sections on mental models, .claude config, skills/workflows, permission modes, and reviewing AI code fill a gap between shallow "prompting guides" and raw docs. The literary/historical tone (genealogy of tools, control loops as contractions) adds gravitas.Production Quality: Clean typesetting (EB Garamond), professional front matter, disclaimers, and ISSN. It positions itself as independent scholarship, which is smart given trademark sensitivities. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…