SuperAPI AI Directory

design-document

Writing & research

View repository

Updated 10-15 16:47

About this skill

Design Document Conventions

1. Background / Problem Statement

1.1 Background and Pain Points

  • Describe current system/module limitations and deficiencies
  • List specific scenarios, metrics, or incident cases that triggered this design

1.2 Impact Scope

  • Affected modules, microservices, APIs, data stores, third-party dependencies
  • Potential impact on performance, reliability, cost, maintainability
  • Forward/backward compatibility analysis

1.3 Constraints

  • Compliance/security/performance/resource restrictions
  • External system or infrastructure dependencies

2. Design Goals

2.1 Functional Goals

  • List Must/Should/Could core capabilities by priority

2.2 Non-Functional Goals

  • Performance (throughput, latency, concurrency, resource usage)
  • Scalability, maintainability, testability, observability
  • Reliability (fault tolerance, HA, degradation, rollback strategies)

2.3 Constraint Goals

  • Backward compatibility, API stability
  • Security and compliance requirements

3. Technical Design

3.1 Architecture Diagram

  • Use Mermaid for high-level component diagrams with data/control flow

3.2 Detailed Flowcharts

  • Key business flows, exception flows, retry/compensation with timing and triggers

3.3 Thread/Concurrency Model

  • Thread lifecycle, inter-thread communication (locks, condition variables, queues, Actor patterns)
  • Sequence diagrams for concurrency interactions

3.4 Core Classes and Data Structures

  • Class diagrams showing main classes, interfaces, inheritance/composition relationships
  • Key data structure fields, lifecycle, thread-safety strategy

3.5 Key Algorithms or Protocols

  • Pseudocode or flow for pub/sub, load balancing, retry backoff, etc.
  • State machine / protocol state transition diagrams

3.6 Error Handling and Recovery

  • Error classification, exception stack, retry strategies, degradation plans
  • Monitoring metrics, alert trigger conditions and levels

3.7 Deployment and Operations

  • Configuration items, hot-update mechanisms, canary and rollback strategies
  • CI/CD, container, Service Mesh, Kubernetes resource considerations

4. Unit Testing

4.1 Test Scope and Goals

  • Cover core logic, boundary conditions, concurrency scenarios, exception paths

4.2 Test Environment and Tools

  • Google Test/Mock version, necessary third-party stubs/fakes

4.3 Test Scenarios and Cases

Case ID Scenario Input Expected Output/Behavior Mock Dependencies
TC-01 Normal single log push Single valid LogRecord Returns SUCCESS, buffer size +1 None
TC-02 Buffer full capacity=N filled Throws BufferOverflowException None
TC-03 Concurrent push Multi-thread simultaneous push No data loss, order/final consistency matches design MutexMock
TC-04 flush clears M items exist, then flush Returns M items, buffer size=0 TimeProviderMock

4.4 Boundary and Exception Testing

  • Empty input, invalid input, extreme capacity, network/disk fault injection

4.5 Performance Benchmarking (optional)

  • Throughput, latency, CPU/Memory profile; comparison with baseline

Notes

  • Do not include project management info (estimates, schedules, milestones, Gantt charts)
  • Code examples must follow team C++ coding standards (see skills/project-knowledge/)
  • Test case naming: <Module>_<Function>_<Number> for CI coverage tracking