New · Developer-First AI Assistant

The Missing Context For Your Development

CONTEXT deeply understands your codebase, external references, APIs, and dependencies to provide intelligent, accurate guidance when you need it most.

Get Early Access See How It Works
code.python
// Without CONTEXT
from openai import OpenAI
client = OpenAI()
response = client.chat.completions.create(
  model="gpt-3.5-turbo",
  messages=[{"role": "user", "content": "Write a function to calculate Fibonacci"}]
)
# Error: Using deprecated model and API
// With CONTEXT
from openai import OpenAI
client = OpenAI()
response = client.responses.create(
  model="gpt-4.1",
  input="Write a function to calculate Fibonacci"
)
# Success: CONTEXT detected new Responses API and gpt 4.1 model
# (March 11, 2025)

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Integrate and Improve

Cursor
Cursor
Windsurf
Windsurf
VS Code
VS Code
Zed
Zed
Claude
Claude
mcp
more

Augment Your Development Context

CONTEXT is the developer-first AI assistant that empowers you by augmenting your project's context intelligently.

Intelligent Indexing

Automatically scans, indexes, and classifies API and SDK documentation, tracking version changes, and identifying relevant updates.

Model Context Protocol

Exposes specific capabilities to AI models, enabling them to interact seamlessly with external resources like databases, APIs, and file systems.

IDE Integration

Integrates directly with developers' preferred environments, instantly alerting them to new API or SDK versions.

360° Context View

Provides a complete view of your project's evolving landscape, including libraries, APIs, and dependencies with their exact versions.

How CONTEXT Works

CONTEXT uses a sophisticated architecture to provide accurate, context-aware guidance for your development process.

Indexer Service

Automatically scans, indexes, and classifies API and SDK documentation, tracking version changes, and identifying relevant updates. The indexer builds a detailed knowledge graph of your dependencies to provide accurate information.

code.bash
$ context-indexer start
Indexing repository: github.com/openai/openai-node
⏱️ Scanning repository content...
✓ Found 1243 files
✓ Analyzing API surfaces
⏱️ Processing versions: v3.1.0, v4.0.0, v4.1.0
...
✓ Indexed 3 API versions
✓ Detected 27 breaking changes
✓ Repository successfully indexed

Model Context Protocol (MCP) Server

Exposes capabilities to AI models, enabling them to interact seamlessly with external resources like databases, APIs, and file systems. MCP brings real-time, up-to-date knowledge to your AI assistants.

code.javascript
User: "How do I integrate with the new Gemini API?"
CONTEXT MCP: Connecting to Google AI documentation...
⏱️ Retrieving latest Gemini API specs...
✓ Found Gemini 2.5 Pro API documentation (Updated 2025-05-05)
✓ Detected multimodal capabilities
// Example integration code:
const { GoogleGenAI } = require("@google/genai");
const ai = new GoogleGenAI({ apiKey: API_KEY });
const response = await ai.models.generateContentStream({
    model: "gemini-2.5-pro-preview-03-25",
    config: { responseMimeType: 'text/plain' },
    contents: [
    {
      role: 'user',
      parts: [
        {
          text: "How do I integrate with the new Gemini API?",
        },
      ],
    },
  ],
  });
for await (const chunk of response) {
    console.log(chunk.text);
}

IDE Extension

Integrates directly with your preferred development environment, providing real-time alerts about API or SDK updates. The extension suggests optimized code based on the latest documentation and best practices.

code.javascript
// CONTEXT Alert: New API Version Available
╔══════════════════════════════════════════╗
║ OpenAI API v1.77.0 Released (2025-05-02) ║
╚══════════════════════════════════════════╝
Changelog:
- Features
  api: add image sizes, reasoning encryption (473469a)
- Bug Fixes
  parsing: handle whitespace only strings (#2007) (246bc5b)
- Chores
  only strip leading whitespace (8467d66)
// Suggested update to your code:
const response = await client.responses.create({
  model: "gpt-4.1",
  input: prompt,
  reasoning: {
    encryption: true // New feature detected
  }
});

Real-World Use Cases

See how CONTEXT transforms your development workflow with these practical examples.

AI for AI Coding

Use CONTEXT with Cursor or Windsurf to auto-generate and adapt code snippets whenever an AI library, such as OpenAI or Hugging Face, updates their APIs.

code.javascript
// Outdated OpenAI API usage (2024)
const completion = await openai.chat.completions.create({
  model: "gpt-4",
  messages: [{ role: "user", content: "Write code for a calculator" }]
});
// CONTEXT suggests using new Responses API (March 2025)
const response = await openai.responses.create({
  model: "gpt-4.1",
  input: "Write code for a calculator",
  reasoning: {
    effort: "high",
    encryption: true // New feature detected by CONTEXT
  }
});
// Access the typed response with helper
console.log(response.output_text);

Framework Updates

When frameworks like Next.js roll out critical updates, CONTEXT provides tailored guidance on leveraging new features or updating deprecated methods instantly.

code.javascript
// Outdated Next.js Page Router API
export async function getServerSideProps() {
  // Fetch data...
  return { props: { data } }
}
// CONTEXT suggests App Router migration
export async function Page() {
  const data = await fetch('/api/data');
  return <Component data={data} />
}

Get Early Access to CONTEXT

Join the waitlist to be among the first developers to experience the power of intelligent context.

We'll notify you when CONTEXT is ready for early access.