Technical requirementsThe AI-Assisted development landscapeFrom autocomplete to autonomous agentsWhy Claude Code?Non-determinism, model choice, and stale knowledgeVibe coding vs.specification-driven developmentSetting up Claude Code for a Full-Stack projectInstalling and initializingWriting an effective CLAUDE.mdConfiguring MCP serversSetting up hooks for code qualityThe Specification-First workflowWhy specification matters more than prompting tricksWriting the project specificationsBreaking the project into prompt sequencesThe review-and-test checkpointPlan mode and course correctionsRebuilding the backend foundationQuick review: what we built in Chapters 8–10Prompt 1: Research current versionsPrompt 2: Project scaffoldingPrompt 3: Routes and middlewarePrompt 4: Prisma setup and data modelsPrompt 5: Advanced queries, seeding, and TypedSQLWhen the AI gets it wrongRebuilding authenticationQuick review: what we built in Chapter 11Prompt 6: Auth infrastructurePrompt 7: Auth routes and middlewareThe critical review checkpointRebuilding the FrontendQuick review: what we built in Chapter 12Prompt 8: Frontend scaffolding and API clientPrompt 9: UI components and routingMulti-file changes and context managementProduction readinessQuick review: what we built in Chapters 13 and 14Prompt 10: ContainerizationPrompt 11: CI/CD and health checksPrompt 12: OpenTelemetry instrumentationPrompt 13: Review and refactorAdvanced Caude Code patternsSkills and pluginsHooks for automated quality gatesMulti-agent orchestrationAgent SDKLessons learned: where AI shines and where it falls shortThe security review checklistThe specification is your most important artifactSummary