Augment Code Integration

AVELIN API integrates with Augment Code — an AI coding assistant for VS Code and JetBrains IDEs that ranks among the top AI coding tools in 2026. Augment Code understands your entire codebase through deep indexing and provides context-aware autocomplete, chat, and inline edits powered by AVELIN's frontier models.

Why AVELIN + Augment Code? Augment Code's codebase-aware intelligence thrives on large context windows. AVELIN delivers 1M-token context, ~100 tps throughput, 90% prompt caching discounts, and enterprise-grade reliability — all through a single OpenAI-compatible endpoint.

What is Augment Code?

Augment Code is an AI coding assistant that goes beyond simple autocomplete by indexing your entire repository and understanding cross-file dependencies. Its killer feature is codebase-aware AI — it doesn't just see the current file, it understands how your entire project fits together. With SOC 2 compliance and enterprise-grade security, it's trusted by teams that need both intelligence and compliance.

Augment Code is ideal for professional developers working on large, complex codebases where understanding the bigger picture matters. Whether you're navigating unfamiliar code, making architectural changes, or ensuring consistency across a large team, Augment Code's deep codebase understanding gives you an edge.

Quick Setup

Step 1: Get your AVELIN API key

Sign up at avelin.ai and generate an API key. It will look like sk-ave...xxxx.

Step 2: Install Augment Code

VS Code:

1. Open VS Code
2. Go to Extensions (Cmd+Shift+X / Ctrl+Shift+X)
3. Search for Augment Code
4. Click Install

JetBrains (IntelliJ, PyCharm, WebStorm, etc.):

1. Open Settings/Preferences
2. Go to Plugins → Marketplace
3. Search for Augment Code
4. Click Install and restart your IDE

Step 3: Configure Augment Code

Open Augment Code settings:

VS Code: Settings → Extensions → Augment Code

JetBrains: Settings → Tools → Augment Code

Set the custom API endpoint:

Step 4: Start Coding

Augment Code will automatically index your repository and start providing intelligent suggestions:

• Autocomplete: Get context-aware code completions as you type
• Chat: Ask questions about your codebase in the sidebar
• Inline Edits: Select code and request changes with Cmd+K / Ctrl+K

Recommended Models

Primary Recommendation: avelin-coding-pro

For Augment Code's core features:

Alternative Models

Why AVELIN for Augment Code?

1. Codebase-Aware Intelligence

Augment Code's indexing generates rich context about your entire repository. AVELIN's 1M-token context windows ensure this information fits without truncation, giving the model a complete picture of your codebase.

2. Cost Optimization

Augment Code sends substantial context with each request to provide intelligent suggestions. AVELIN minimizes costs:

• Prompt caching: ~80% cost reduction on repeated system prompts and indexed codebase context
• Competitive pricing: Lower per-token costs than direct provider APIs
• Pay-per-token: No subscription lock-in — pay only for what you use

3. Fast Autocomplete

With ~100 tokens/sec throughput, AVELIN delivers suggestions fast enough to keep up with your typing speed. No lag, no waiting — just intelligent completions that flow with your work.

4. Enterprise Reliability

• Automatic failover: If one provider is slow or down, AVELIN switches to another
• Retry logic: Transient errors handled automatically
• 99.9% uptime: Enterprise-grade infrastructure for professional development workflows

Example Workflow

Augment Code Chat Panel:

You> Find all places where we're making API calls without proper error
     handling and suggest improvements.

Augment Code: Analyzing your codebase for API calls...

I found 12 API calls across 5 files. 4 of them lack proper error handling:

1. src/services/userService.ts:45
   - Issue: No try/catch around fetch call
   - Risk: Unhandled promise rejection on network failure

2. src/api/auth.ts:23
   - Issue: Only catches network errors, not HTTP errors
   - Risk: 4xx/5xx responses treated as success

3. src/hooks/useData.ts:18
   - Issue: No loading state or error boundary
   - Risk: UI shows stale data on failure

4. src/utils/api.ts:67
   - Issue: Timeout not configured
   - Risk: Requests can hang indefinitely

Would you like me to fix these issues? I'll add:
- Comprehensive error handling with retry logic
- Proper HTTP status code checking
- Loading and error states for React hooks
- Configurable timeouts with sensible defaults

You> Yes, fix them all

Augment Code: [Applies changes across all 4 files]
              [Adds error handling utilities in src/utils/errorHandler.ts]
              [Updates tests to cover error scenarios]

Done! I've added comprehensive error handling to all 12 API calls.
Run `npm test` to verify the changes.

Advanced Configuration

Model Selection by Feature

You can configure different models for different Augment Code features:

• Autocomplete: avelin-fast for lowest latency
• Chat: avelin-coding-pro for deep reasoning
• Inline Edits: avelin-coding-pro for accurate transformations

Check Augment Code's settings for per-feature model configuration options.

Context Filtering

For very large repositories, configure which files and directories Augment Code should index:

1. Open Augment Code settings
2. Configure include/exclude patterns
3. Focus indexing on your source code, exclude generated files and dependencies

This ensures the most relevant context is available within the 1M-token window.

Troubleshooting

Related

• API Quickstart — First API call in 5 minutes
• Cursor Guide — AI-first code editor
• Cline Guide — Autonomous VS Code agent
• Aider Guide — AI pair programming in the terminal
• Model Catalog — Full model comparison
• Augment Code Docs — Official Augment Code documentation