Développement d'API et intégration d'interfaces

De la conception de l'API à la doc en passant par les données de test, tout en automatique —— tu réfléchis, l'IA écrit

Pourquoi développer des API c'est galère

Design interface, CRUD, docs, test data — tout c'est du work

Module user management simple : CRUD quatre endpoints, chacun = route, validation, business logic, DB ops, error handling, format response standard — tonnes de repeat code. Après code, after docs, après docs, Mock data pour frontend pairing. Connecter API tiers? Docs, auth, response parsing, retry logic… une API une journée, moitié temps = boilerplate.

Besoin → API, IA full stack

Décris besoin, OpenClaw design→impl→docs tout auto

Dis OpenClaw quoi comme endpoint, il fait full stack : route definition, param validation, business logic, DB models, error handling, API doc (Swagger/OpenAPI), Mock data, SDK client même. C'est pas half-baked code tu dois rewrite — c'est runnable, ton projet style, complètement. API tiers? Docs lui → SDK généré, auth et retry inclus.

API dev Prompt, copy→use

Design jusqu'à middleware, trois Prompt covering API dev most.

Concevoir API RESTful user management Commande or

Design + implémente complete user management RESTful API.

Fonctionnalités:
- User registration (email + password, password encrypted)
- User login (JWT token auth)
- Get user info (token required)
- Edit profile (token required)
- User list (pagination, search, admin only)

Tech:
1. RESTful, correct HTTP methods + status codes
2. Input validation (Joi/Zod/Pydantic per language)
3. Response uniform: { code, data, message }
4. Full error handling + logging
5. Swagger/OpenAPI doc generation
6. Postman/Insomnia test collection

Matchs current project tech stack, consistent code style.

Prompt crée complete user module, pas just shell. Emphasis "based on current project tech stack" = generated code style match.

SDK client à partir Swagger doc Technique avancée

Third-party API doc :

[Colle Swagger/OpenAPI JSON ou URL]

Génère TypeScript SDK client :
1. Chaque endpoint = méthode (types complètes)
2. HTTP client unifié (axios/fetch)
3. Request interceptor: auto Authorization header
4. Response interceptor: error handling + retry unifié
5. Timeout + request cancel support
6. Export tous les TypeScript types
7. README + usage examples

SDK tree-shakeable, import juste ce qu'il faut.

SDK manuel = most boring work. Prompt = IA gen from doc, plus types, retry, error handling, more reliable than manual.

Ajouter middleware rate limit, auth, logging Technique avancée

API service add middleware :

1. Rate Limiting:
   - Default par IP 60 req/min
   - Login 5 req/min per IP
   - Retour X-RateLimit-* headers
   - > limit = 429 + friendly message

2. Authentication:
   - JWT Token verify
   - Expired token auto-refresh (Refresh Token)
   - Role check (admin / user / guest)

3. Logging:
   - Log chaque request: method, path, duration, status
   - Error requests: log body + stack
   - Format ELK/CloudWatch compatible

Middleware order correct, route registration code.

Middleware = easiest to do wrong — rate limit granularity, token refresh, log format all pitfalls. IA code = faster than traps.

Config recommandée API dev

Generated code align ton projet rules.

skill_config — API dev specific

# .openclaw/skill_config.yaml
api_dev:
  model: gpt-4o               # API dev gpt-4o enough, fast
  upgrade_model: claude-opus-4-6  # complex design Opus
  context_depth: full         # need understand code style
  api_style:
    response_format: "{ code, data, message }"
    naming: camelCase          # or snake_case per project
    doc_format: openapi-3.0    # auto OpenAPI
  generate:
    tests: true                # auto tests
    mock_data: true            # auto Mock data
    postman_collection: true   # auto Postman

OpenClaw vs Manual — API efficiency compare

OpenClaw API dev

Describe, 5min complete CRUD + docs + tests
Auto param validation + error handling, no miss
Docs → code same time, never stale
Third-party API: doc → SDK auto, done

Manual API dev

CRUD module = half day minimum, tons repeat code
Validation often miss fields, launch find later
Code done, docs later, docs stale quick
Third-party: read docs, test requests, handle errors, back and forth

More compare 👉 OpenClaw vs Copilot · OpenClaw vs Coze

Real scenario: e-commerce API

E-commerce MVP — 20 endpoints 3 days live

Startup e-commerce app MVP, backend needs users, products, orders, payments modules, 20+ endpoints, week deadline MVP.

Approche OpenClaw

Prompt chaque module complete code : routes, validation, logic, DB ops. Review et tweak après chaque. 3 days 20 endpoints done, Swagger + Postman collection + Mock data incl. Frontend start pairing Mock, no wait backend.

Approche traditio

Backend eng one week write, docs two days more. Frontend wait backend 3 days pairing start. MVP delayed week.

🚀

API most work = boilerplate — perfect for IA. You design, IA implement, 3-5× faster legit.

Quel model pour API dev

API = pattern code, no need pricey model.

GPT-4o — daily CRUD first pick, fast, stable format
Claude Opus 4.6 — complex API arch design, microservices split use
Qwen 3 — Chinese project API docs, understand Chinese requirement better
DeepSeek V3.2 — simple CRUD + scripts, cheap enough

API dev tips

💡 IA code gen : paste one existing endpoint example from project — know your code style, dir structure, error handling, consistency better.

💡 Forget not let IA gen tests too. Code done → tests done, refactor later tests protect, peace of mind.

ℹ️ Using OpenAPI/Swagger? Spec file → IA gen server code — impl match doc 100%.

⚠️ Les interfaces générées par l'IA ne vont pas prendre en compte ta stratégie de sécurité spécifique par défaut. Avant de mettre en ligne, vérifie absolument l'authentification, le rate limiting, la protection contre les injections SQL et tout ce qui touche à la sécu.

Ce cas vous a aidé ?