[{"_1":2,"_68":-5,"_69":-5},"loaderData",{"_3":4,"_38":39,"_66":-5,"_67":-5},"root",{"_5":-5,"_6":-5,"_7":8,"_22":23,"_24":25,"_26":27,"_30":31,"_36":37},"user","shoppingCartId","shoppingCart",{"_9":10,"_11":12,"_13":14,"_15":16,"_17":18,"_19":20,"_21":14},"id","no-cart","count",0,"free",true,"updatedAt","","paymentGateway","STRIPE","cartItems",[],"loading","locale","en","readerTheme","light","constants",{"_28":29},"paypalClientId","AX53Cwz8jR6rVVzzZiZNWWXl0dGagi-GZrjG-S3Ua14E5nrKMn7DxDQ730O4R8LusLPp49ALn6aRVaEy","publishers",{"_32":33,"_34":35},"companies",[],"universities",[],"needsLocaleCookieSync",false,"routes/_store+/_readers+/email_author.$slug/route",{"_40":41,"_65":-5},"book",{"_9":42,"_43":44,"_45":46,"_47":48,"_49":50,"_51":52},"Z2lkOi8vbGVhbnB1Yi9TdG9yZTo6Qm9va1Byb2R1Y3QvNzY1MjE","title","Claude Code for Developer Experience","state","published","contactAuthorMethod","email","aboutText","

There are dozens of Claude Code guides. Most cover the same ground: install, prompt, watch AI generate code. Useful for the first hour.

This book picks up where tutorials stop. It's a DX engineering book: how to use Claude Code to improve developer experience for yourself and your team. With research data, with
limitations, with an honest breakdown of when AI helps and when it hurts.

The METR study found AI slows experienced developers down by 19% - while those developers believe it speeds them up by 20%. Faros AI telemetry across 10,000+ developers shows
individual productivity up 21%, but PR sizes up 154%, code review time up 91%, and delivery metrics flat. DORA 2025 concludes: \"AI's primary role is that of an amplifier -
magnifying the strengths of high-performing organizations and the dysfunctions of struggling ones.\"

This book takes that seriously.

Part 1 (chapters 1-7): Claude Code as a platform. CLAUDE.md, skills, hooks, MCP - from installation to full customization in 60 minutes.

Part 2 (chapters 8-14): Applying it for DX. The AI productivity paradox. Onboarding. Documentation. Code review. Team adoption. Measuring results with real frameworks (SPACE, DX
Core 4, DORA).

Appendices: Ready-to-use templates (React, Python, Go, monorepo), hooks recipes, a 4-week adoption checklist, and a DX survey toolkit.

The key principle: 80/20. 80% of automation should be deterministic - hooks, scripts, CI. 20% is AI. Counterintuitive for a book about an AI tool. But that's what makes it
reliable.

Not \"bought 500 licenses, figure it out.\" One engineer, one CLAUDE.md, one hook. Measure the result. Expand to the team. No budget required, no permission needed.

","authors",[53],{"_9":54,"_55":56,"_5":57},"Z2lkOi8vbGVhbnB1Yi9TdG9yZTo6UHJvZHVjdEF1dGhvci84MTkxOQ","name","Artem Mukhin",{"_58":59},"avatar",{"_60":61,"_62":63,"_64":14},"url","https://d39qdlcrvnra4b.cloudfront.net/avatars/3692078/medium/avatar.jpg?1773068466","styleName","medium","exists","currentUser","routes/_store+/_layout","routes/_store+/_readers+/_layout","actionData","errors"]

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