SKU/Artículo: AMZ-1423252756
Java with Generative AI: a QuickStudy Laminated Reference Guide
Detalles del producto
Disponibilidad:
En stock
En stock
Peso con empaque:
0.15 kg
0.15 kg
Devolución:
Sí
Sí
Condición
Nuevo
Nuevo
Producto de:
Amazon
Amazon
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USA
USA
Sobre este producto
- Essential reference guide for Java programmers of all skill levels to use AI to speed up tedious tasks, reduce mistakes, and gather suggestions for better ways to use the language they already know. In just 6 laminated pages you can reference the skills to deliberately direct AI tools to explain unfamiliar code, navigate libraries faster, design cleaner architecture, and write better tests. Used the right way, AI becomes a second brain, true assistant, and force multiplier for serious developers. This is not a vibe coding guide. Author Robin Nixon worked with computers in the 80s and started developing websites in the 90s becoming an expert and writing over 40 programming books and over 500 articles for top computer magazines. With his expertise in the field and writing to his audience in our succinct and organized QuickStudy format, this reference has more quality actionable facts per page than any book or website. Designed for quick access to the facts you need, this inexpensive tool is an easy add to your programming toolbox. As our programming reference guides climb in sales to best-selling status, it is clear that print is not dead and this handy desktop tool is an unbeatable value. 6 page laminated guide includes:AI & Your Development EnvironmentIntelliJ IDEAEclipse IDEVS CodeGitHub CopilotCursorWindsurfTabnineAmazon QExtensions to ConsiderSetting Up AI API KeysStoring API Keys SecurelyCommon AI APIs & Key NamesLocal Models & Offline AIToken CostsCopyright IssuesAI Assistance Core Use CasesCode Completion & RefactoringCode Search & RetrievalLibrary & API FamiliarizationCode Conversion & TranslationAI for Specific Coding TasksAuthentication & IntegrationAI for TestingAI for Regx & String HandlingAI for DebuggingDiagnosis Errors & ExceptionsReading Stack Traces with AIMultilevel Stack TracesAI for Code Design & PlanningSystem Design via ConversationData Models & Class DesignAI for Advanced JavaFrom Code Assistant to Engineering PartnerAI-Assisted Docs & CommentingCommenting what MattersMarkdown & README GenerationAI in Responsible Java DevelopmentHallucination RisksLack of Long-Term MemoryOther LimitationsManaging Context LimitsWhen Not to Trust AutocompleteAI Prompt Hygiene & Version ControlChecking DiffsSaving Useful Prompts & ResultsUse .gptignore or Equivalent for SharingAI-Assisted SecurityAI-Assisted Optimization AI for Maintaining Legacy CodeReading & Understanding Old CodeRefactoring & ModernizingRisk Reduction & Safe RefactoringTop Java AI Assistant PromptsAI & Java Developer’s Checklist
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AR$32.669
55% OFF
AR$14.849
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