Build a REST API for task management using Node.js, Express, and SQLite. Include CRUD endpoints, validation, and a health check.
I'll scaffold a production-ready Express + SQLite task API with clear routing, request validation, and a health endpoint. Plan: 1) initialize the project, 2) install dependencies, 3) create database bootstrap logic, 4) implement CRUD routes for /tasks, 5) add validation and error handling, and 6) verify with sample requests.
Dependencies are in place. Next, I'll create a single-file starter API with SQLite bootstrap logic, a normalized tasks schema, and endpoints for GET /health, GET /tasks, GET /tasks/:id, POST /tasks, PUT /tasks/:id, PATCH /tasks/:id/status, and DELETE /tasks/:id.
Core API implementation is done. I'll add a package.json script and then run a smoke test with curl examples so the service is immediately usable.
The REST API is ready. Run npm run dev to start it locally. Example requests:
- curl http://localhost:3000/health
- curl http://localhost:3000/tasks
- curl -X POST http://localhost:3000/tasks -H 'Content-Type: application/json' -d '{"title":"Ship MVP","description":"Finalize the first release","status":"pending"}'
- curl -X PATCH http://localhost:3000/tasks/1/status -H 'Content-Type: application/json' -d '{"status":"done"}'
Architecture summary: Express handles routing, SQLite provides lightweight persistence, and Zod enforces input validation. This is a solid baseline for a demo or internal service; for production, the next moves would be auth, structured logging, tests, and database migrations.
I’m documenting the planning and build process for a REST API using Claude Code.
This post shares part of the actual session used to frame the implementation.
Build a REST API for task management using Node.js, Express, and SQLite. Include CRUD endpoints, validation, and a health check.
I'll scaffold a production-ready Express + SQLite task API with clear routing, request validation, and a health endpoint. Plan: 1) initialize the project, 2) install dependencies, 3) create database bootstrap logic, 4) implement CRUD routes for /tasks, 5) add validation and error handling, and 6) verify with sample requests.
Dependencies are in place. Next, I'll create a single-file starter API with SQLite bootstrap logic, a normalized tasks schema, and endpoints for GET /health, GET /tasks, GET /tasks/:id, POST /tasks, PUT /tasks/:id, PATCH /tasks/:id/status, and DELETE /tasks/:id.
Core API implementation is done. I'll add a package.json script and then run a smoke test with curl examples so the service is immediately usable.
The REST API is ready. Run npm run dev to start it locally. Example requests:
- curl http://localhost:3000/health
- curl http://localhost:3000/tasks
- curl -X POST http://localhost:3000/tasks -H 'Content-Type: application/json' -d '{"title":"Ship MVP","description":"Finalize the first release","status":"pending"}'
- curl -X PATCH http://localhost:3000/tasks/1/status -H 'Content-Type: application/json' -d '{"status":"done"}'
Architecture summary: Express handles routing, SQLite provides lightweight persistence, and Zod enforces input validation. This is a solid baseline for a demo or internal service; for production, the next moves would be auth, structured logging, tests, and database migrations.
What this covers
This session focuses on planning the API structure, thinking through implementation, and outlining the build workflow.
Why it matters
Publishing the planning session gives readers visibility into the process behind the build, not only the final code.
Top comments (0)