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{ "item_title" : "Engineering Field Guide", "item_author" : [" Joshua Lk "], "item_description" : " CORE INSIGHT]AI code generation is fast. Human judgment costs more.AI coding assistants are flooding codebases with plausible-looking code, subtle concurrency bugs, edge-case failures, and architectural drift.The solution isn't to write more prompts-it's to enforce engineering discipline.The ENGINEERING FIELD GUIDE: AI provides a complete, battle-tested operational framework designed to put AI in its proper place: as an execution engine operating under strict human boundaries, verification gates, and architectural ownership. CORE INSIGHT]What You Will Learn & Master* Put AI in the Right Place: Stop letting AI guess business rules or invent API specs. Enforce fail-safe defaults and strict ownership.* Make AI Understand Before It Implements: Master context management. Require AI to present a Zero-Edit Plan and separate facts, hypotheses, and unknowns before modifying code.* Maintain Architectural Boundaries: Prevent AI from violating system layers, introducing hasty abstractions, or creating untracked technical debt.* Verification Over Generation: Implement behavioral testing, adversarial self-reviews, and evidence-based debugging workflows.* Team-Level Quality Gates: Transform personal AI workflows into team-wide project instructions, ADRs, and automated PR review standards. CORE INSIGHT]What's Included in This Package* The Complete Field Manual (PDF Format): Optimized for desktop reading, featuring clear code blocks, architecture diagrams, and high-density layouts.* The Complete Field Manual (EPUB Format): Fully reflowable for Kindle, Apple Books, and mobile reading. CORE INSIGHT] Who Is This Book For?* Senior Developers & Architects: Tired of cleaning up AI-generated spaghetti code and looking to maintain system integrity.* Tech Leads & Engineering Managers: Needing actionable quality gates and standards to govern AI tool adoption across teams.* Pragmatic Engineers: Who want to leverage AI for speed without sacrificing software quality, correctness, and ownership.Do not produce more code. Keep the system under control.", "item_img_path" : "https://covers2.booksamillion.com/covers/bam/9/79/819/031/9798190310221_b.jpg", "price_data" : { "retail_price" : "19.99", "online_price" : "19.99", "our_price" : "19.99", "club_price" : "19.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Engineering Field Guide|Joshua Lk

Engineering Field Guide : AI : Make AI a Reliable Coding Partner: Evidence-First Debugging, System Boundaries, and Code Verification for Software Engin

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Overview

CORE INSIGHT]AI code generation is fast. Human judgment costs more.

AI coding assistants are flooding codebases with plausible-looking code, subtle concurrency bugs, edge-case failures, and architectural drift.

The solution isn't to write more prompts-it's to enforce engineering discipline.

The ENGINEERING FIELD GUIDE: AI provides a complete, battle-tested operational framework designed to put AI in its proper place: as an execution engine operating under strict human boundaries, verification gates, and architectural ownership.

CORE INSIGHT]What You Will Learn & Master

* Put AI in the Right Place: Stop letting AI guess business rules or invent API specs. Enforce fail-safe defaults and strict ownership.

* Make AI Understand Before It Implements: Master context management. Require AI to present a "Zero-Edit Plan" and separate facts, hypotheses, and unknowns before modifying code.

* Maintain Architectural Boundaries: Prevent AI from violating system layers, introducing hasty abstractions, or creating untracked technical debt.

* Verification Over Generation: Implement behavioral testing, adversarial self-reviews, and evidence-based debugging workflows.

* Team-Level Quality Gates: Transform personal AI workflows into team-wide project instructions, ADRs, and automated PR review standards.

CORE INSIGHT]What's Included in This Package

* The Complete Field Manual (PDF Format): Optimized for desktop reading, featuring clear code blocks, architecture diagrams, and high-density layouts.

* The Complete Field Manual (EPUB Format): Fully reflowable for Kindle, Apple Books, and mobile reading.

CORE INSIGHT] Who Is This Book For?

* Senior Developers & Architects: Tired of cleaning up "AI-generated spaghetti code" and looking to maintain system integrity.

* Tech Leads & Engineering Managers: Needing actionable quality gates and standards to govern AI tool adoption across teams.

* Pragmatic Engineers: Who want to leverage AI for speed without sacrificing software quality, correctness, and ownership.

"Do not produce more code. Keep the system under control."

This item is Non-Returnable

Details

  • ISBN-13: 9798190310221
  • ISBN-10: 9798190310221
  • Publisher: Independently Published
  • Publish Date: August 2026
  • Dimensions: 9 x 6 x 0.37 inches
  • Shipping Weight: 0.52 pounds
  • Page Count: 172

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