Advanced practical scenarios
Advanced practical scenarios
Advanced hands-on scenarios for all developers, covering common workplace challenges such as project kickoff, quick onboarding, business transitions, RAG implementation, and multi-Agent collaboration. Each scenario includes a complete methodology and practical case study, with a depth of content comparable to 《Full-Stack Project Practice》.
Target audience
Developers who need to create a new project from scratch
Developers who have just joined and need to quickly get familiar with a new company’s projects
Developers who need to switch business lines or tech stacks
Technical professionals who want to implement an enterprise knowledge base or Agent workflow
Practical scenarios
Scenario 1: Create a new project from scratch
Master the complete project kickoff process and develop skills in technology selection and architecture design
Core content
Project kickoff process (requirements analysis → technology selection → architecture design → project initialization)
Technical selection decision framework (performance/cost/team capabilities/ecosystem)
Architecture design principles (Clean Architecture, DDD, microservices vs monolith)
Best practices for project initialization (directory structure, toolchain configuration, CI/CD)
Practical case study
Case 1: Build a SaaS app from scratch
Next.js + Prisma + Vercel
Case 2: Building a microservices architecture from scratch
Docker + Kubernetes + service mesh
AI tool applications
Cursor AgentSpec-drivenWindsurfFabric
Scenario 2: Quickly get familiar with a new company project
Master a systematic method for quickly understanding new projects, and use AI tools to accelerate code reading and comprehension
Core content
Code reading strategy (top-down vs bottom-up)
Project understanding framework (business understanding → architecture understanding → code understanding)
Quickly get started with the workflow (document reading → code exploration → small feature development → refactoring optimization)
Methods for knowledge retention (notes, documentation, Skill/Pattern creation)
Practical case study
Case 1: Quickly get familiar with a Monorepo project
Windsurf + Cursor
Case 2: Quickly get familiar with a legacy system
Zread + Cursor Agent
AI tool applications
Windsurf Fast ContextCursor AgentZreadNotebookLMFabric
Scenario 3: business line switching in practice
Master a systematic approach to business transitions and be able to adapt quickly to new businesses
Core content
Business transition process (business understanding → technology stack migration → knowledge transfer → workflow adaptation)
Business understanding framework (business model → business process → business rules)
Technology stack migration strategy (similar tech stack vs different tech stack)
Knowledge transfer methods (documentation, code, best practices)
Practical case study
Case 1: Switching from e-commerce to financial services
Differences in business models, similar tech stacks
Case 2: Switching from Web to mobile development
Differences in tech stack, similarity in business logic
AI tool applications
Cursor AgentSpec-drivenFabricCode migration tool
Scenario 4: RAG in practice
Practical RAG implementation for enterprise knowledge bases and long-code analysis, mastering the full closed loop from retrieval design to effectiveness evaluation
Core content
RAG-DD workflow (requirements → corpus → retrieval → evaluation → iteration)
Knowledge base construction (chunking strategy, metadata, update mechanisms, permission boundaries)
Retrieval pipeline design (vector search, hybrid search, reranking, context assembly)
Effect optimization (recall rate, hit rate, hallucination control, postmortem review of failure cases)
Practical case study
Case 1: Internal knowledge base Q&A
Documentation center + vector database + Claude
Case 2: Retrieval-Augmented Assistant for a Large Code Repository
Code indexing + retrieval reranking + architecture document context
AI tool applications
ClaudeVector databaseEmbeddingRe-ranking model
Scenario 5: Agent practice
With ADD and multi-agent collaboration at the core, master practical agent methods from task decomposition to engineering governance
Core content
ADD workflow (goal decomposition → role assignment → context contract → delivery review)
Multi-agent collaboration mode (Planner / Executor / Reviewer / Specialist)
Engineering governance (observability, retry strategies, approval gates, cost and latency control)
Failure mode governance (context drift, duplicate work, unclear responsibilities, excessive splitting)
Practical case study
Case 1: Multi-Agent code review pipeline
Architecture review + security checks + performance analysis + report consolidation
Case 2: Agent development workflow from requirements to delivery
Planner + Coding Agent + QA Agent + Release Gate
AI tool applications
Claude CodeCursor AgentTask orchestrationStructured logging
Suggested learning path
1
Recommended order: Scenario 1 (project kickoff) → Scenario 2 (quick start) → Scenario 3 (business switch) → Scenario 4 (RAG practice) → Scenario 5 (Agent practice)
2
Prior knowledge: It is recommended to first complete "Full-Stack Practical Project" and "Project for Working Professionals" to master the basics of project management, documentation-driven work, and engineering collaboration processes.
3
Learning methods: Each scenario includes a complete methodology and practical case studies. It is recommended to first understand the methodology, then design your own implementation plan based on the cases.