# AI Coding Assistants Compared: An Overview of IDE Tools

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# AI Coding Assistants Compared: An Overview of IDE Tools

From simple code completions to autonomous AI agents in your editor: the landscape of AI coding assistants is growing rapidly. Which tool fits your workflow?

## Three Categories of AI Coding Tools

Not every AI tool has the same purpose. We can divide the current generation of IDE assistants into three main categories:

- Autocomplete tools: Act in the background. As you type, they predict the rest of the line or the entire function block (e.g., traditional GitHub Copilot).

- Chat-in-IDE: A sidebar in your editor where you can ask questions about your codebase, generate tests, or refactor code.

- Agentic Coding tools: The latest evolution. These systems understand the full context of your project and can autonomously make changes and create files across multiple files.

## Featured IDE Tools and Assistants

GitHub Copilot
The pioneer
The most well-known player on the market, deeply integrated into the Microsoft ecosystem (VS Code, Visual Studio). Offers seamless autocomplete and chat functionality.

Model: OpenAI (GPT-4o) integrations.

Cursor
Agentic IDE
A fork of VS Code that integrates AI natively. Cursor excels in 'agentic' behavior (Composer feature) and codebase-wide Retrieval-Augmented Generation (RAG). Perfect for rapid iterations when building web applications.

Model: Flexible, supporting powerful models such as Claude 3.5 Sonnet, among others.

Continue.dev
Open-Source / BYOM
An open-source extension for VS Code and JetBrains. Unique is its "Bring Your Own Model" (BYOM) approach. You can connect your own API keys (via providers like OpenRouter) to deploy DeepSeek, Claude Pro, or locally run models.

Model: Completely free to choose.

Codeium & Windsurf
Strong free tier
Codeium delivers lightning-fast autocomplete. Their new Windsurf editor is a direct competitor to Cursor, built as an agentic IDE with 'Flow state' features where the AI works seamlessly with the developer.

Model: Proprietary models (Codeium) and hybrid solutions.

Cody (by Sourcegraph)
Enterprise Code Search
Relies heavily on Sourcegraph's enterprise code search architecture. Cody is exceptionally good at searching through massive, complex codebases and repositories.

Model: Various LLMs available.

## What to Look for When Choosing?

### Privacy and On-Premise Options

For freelancers and enterprise environments, data security is crucial. Many cloud-based tools do not train on your code by default (especially in the paid tiers), but they do require code to be sent to external servers. Looking for maximum privacy? Consider solutions like Continue.dev combined with local AI computing power or strict enterprise agreements.

### Language and Framework Support

Most tools support popular languages (Python, JavaScript, TypeScript) excellently. For niche languages, models with a broader neural network (such as Claude or GPT-4) often perform better than smaller, specialized autocomplete models.

Indication of pricing models: Prices fluctuate significantly. As an indication: many tools (such as Codeium and basic Copilot functionality for students) offer a strong Free Tier. Standard Pro subscriptions typically range between €10 and €20 per month. For Bring Your Own Model setups, you pay per API call (Pay-as-you-go).

## Discover More?

Choosing the right IDE tool depends on your workflow. Do you want out-of-the-box convenience, or do you want control over which API and models (such as DeepSeek or Claude) analyze your code? Share your setup and experiences or read more in the [LLMnet Community](https://community.llmnet.nl/en/).

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