Question 1

How does the auto‑detection achieve 70% token savings?

Accepted Answer

It automatically detects specific functions, classes, or components from natural language prompts, reducing context noise by 85% and targeting only the relevant elements.

Question 2

What AI providers and models are supported?

Accepted Answer

OpenAI (GPT‑4.1 series), Google (Gemini 2.5 Pro/Flash), and Anthropic (Claude Sonnet 4) are configurable via API keys. Models are routed by task complexity (hard/medium/easy/simple) and framework type (Django, React, Next.js, etc.).

Question 3

What are the runtime requirements?

Accepted Answer

Claude Desktop, Python, and the UV package manager are required. The setup script auto‑detects paths and configures the environment. API keys for at least one supported provider are needed.

Question 4

What credentials does it need?

Accepted Answer

It reads `OPENAI_API_KEY`, `GEMINI_API_KEY`, `ANTHROPIC_API_KEY` from the environment. Store these in your client's env block or a secrets manager — never commit them to a repository — and grant the narrowest scope that still covers your use case.

Variable	Description	Required
OPENAI_API_KEY	Credential the server authenticates with.	Yes
GEMINI_API_KEY	Credential the server authenticates with.	Yes
ANTHROPIC_API_KEY	Credential the server authenticates with.	Yes

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