GPT-5.2 Precision Coder

Advanced AI-powered coding assistant using OpenAI's latest models.

Features

• Code Generation: Generate production-ready code from natural language descriptions
• Code Explanation: Get detailed explanations of any code
• Refactoring: Improve code structure with AI-guided refactoring
• Debugging: Find and fix bugs with intelligent error analysis
• Code Review: Get comprehensive code reviews and suggestions
• Streaming: Real-time streaming responses for immediate feedback
• Conversation Context: Maintains context across multiple interactions

Installation

npm install -g openai-precise-coder

Quick Start

CLI Usage

export OPENAI_API_KEY=your-api-key
precise-coder

Programmatic Usage

import { createCoder } from 'openai-precise-coder';

const coder = createCoder({
  apiKey: process.env.OPENAI_API_KEY!,
  model: 'gpt-4o', // or 'gpt-5.2' when available
});

// Generate code
const result = await coder.generateCode({
  prompt: 'Create a function that validates email addresses',
  language: 'typescript',
});

console.log(result.code);

// Stream responses
await coder.streamCode(
  { prompt: 'Build a REST API endpoint for user authentication' },
  {
    onToken: (token) => process.stdout.write(token),
    onComplete: (response) => console.log('\nDone!'),
  }
);

// Explain code
const explanation = await coder.explain(someCode, 'python');

// Review code
const review = await coder.review(someCode, 'javascript');

// Debug code
const fixed = await coder.debug(buggyCode, 'TypeError: undefined is not a function');

API Reference

createCoder(config)

Creates a new GPT Coder instance.

Config options:

• apiKey (required): Your OpenAI API key
• model: Model to use (default: 'gpt-4o')
• temperature: Response randomness 0-2 (default: 0.7)
• maxTokens: Maximum response tokens (default: 4096)
• systemPrompt: Custom system prompt

Methods

generateCode(request)

Generate code from a prompt. Returns CodeResponse with code, explanation, and metadata.

streamCode(request, callbacks)

Stream code generation with real-time token callbacks.

chat(message)

General chat/conversation with the model.

explain(code, language?)

Get a detailed explanation of code.

refactor(code, instructions, language?)

Refactor code based on instructions.

debug(code, error, language?)

Debug and fix code based on an error message.

complete(partialCode, language?)

Complete partial/unfinished code.

review(code, language?)

Get a comprehensive code review.

clearContext()

Clear conversation history.

getTokensUsed()

Get total tokens used in session.

CLI Commands

| Command | Description | |---------|-------------| | code <description> | Generate code | | explain <code> | Explain code | | review <code> | Review code | | clear | Clear context | | tokens | Show token usage | | help | Show commands | | exit | Exit CLI |

Environment Variables

• OPENAI_API_KEY: Your OpenAI API key (required)
• GPT_MODEL: Model to use (optional, default: gpt-4o)

License

MIT