Recipe Management API - Spec-Driven Development with FastAPI - Anjula

[Anjula-valluru]

Recipe Management API — Spec-Driven Development Assessment

Candidate: Anjula
GitHub Username: Anjula-valluru
Job ID: ALLY-REQ-043719 / ALLY-REQ-043720
Scope: Backend-only application
Date Completed: February 12, 2026

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SUMMARY

Built a complete Recipe Management API following a spec-driven
development methodology using FastAPI with AI-assisted
development via Claude.

This project demonstrates structured requirement analysis,
specification-first design, automated validation, and
comprehensive testing using modern Python tools.

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SPEC-DRIVEN DEVELOPMENT WORKFLOW

Step 1 — Specification First

• Created SPECS/recipe-api.md before coding
• Defined 12 acceptance criteria (AC1–AC12)
• Documented endpoints, models, validation rules

Step 2 — TODO Tracking

• Maintained TODO.md for progress tracking

Step 3 — Implementation

• Built FastAPI REST API aligned to specification
• Used Pydantic for validation
• Implemented all required endpoints

Step 4 — Testing

• Pytest suite validating all acceptance criteria
• 32 comprehensive tests passing
• Full endpoint coverage

Step 5 — Documentation

• Created SETUP.md
• Auto-generated Swagger/OpenAPI docs

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AI-ASSISTED DEVELOPMENT APPROACH

Primary Tool: Claude (Anthropic AI)
Usage: AI-assisted development (code reviewed and validated manually)

Used for:

• Specification drafting
• Model design
• Endpoint implementation
• Test generation
• Documentation assistance

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FEATURES IMPLEMENTED

API Endpoints (9):

GET /health
GET /recipes
GET /recipes/{id}
POST /recipes
PUT /recipes/{id}
DELETE /recipes/{id}
POST /recipes/{id}/rate
GET /recipes/search
GET /recipes/stats

Key Capabilities:

• Nested ingredient models
• Instruction arrays
• Automatic validation
• Rating calculations
• Search & filtering
• Aggregated statistics
• Swagger documentation

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TEST RESULTS

collected 32 items
32 passed
0 failed

All acceptance criteria validated.

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TECHNOLOGY STACK

FastAPI 0.115
Pydantic 2.9
Uvicorn 0.32
pytest 8.3
httpx TestClient
In-memory storage
Claude AI (assisted)

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RUNNING THE APPLICATION

python -m venv venv
venv\Scripts\activate
pip install -r requirements.txt
python app.py

Swagger:
http://localhost:8000/docs

Run tests:
pytest -v

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KEY ACHIEVEMENTS

• Spec-first implementation
• 9 REST endpoints delivered
• 32 tests passing
• 100% acceptance criteria coverage
• Auto-generated API docs
• AI-assisted workflow

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Total Development Time: ~2 hours
Status: Ready for Review