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AI Coding Extensions

Explore AI coding extensions for VS Code, JetBrains, and other IDEs. Compare code completion, developer chat, refactoring, agentic coding, and local model support.

How to choose

  • Pick by depth of use: lightweight extensions cover completion and chat with low overhead, while agentic cross-file editing depends on the plugin's agent features, permission flow, and task panel maturity.
  • Try it on your main project first: support for large repos, monorepos, and niche languages varies a lot, so watch indexing speed, completion latency, and false positives before committing.
  • Mind privacy and billing: for company code choose extensions that disable training or offer enterprise data handling. Free tiers usually count completions or monthly usage, so trial briefly before per-seat subscriptions.

Explore the AI tools directory

8 tools found

Amazon Q Developer

Freemium
Coding

An AWS-native AI coding and cloud assistant that helps developers build, upgrade, and troubleshoot software faster

AWSCoding Assistant

JetBrains AI Assistant

Freemium
Coding

A JetBrains-native AI programming assistant with semantic awareness and project-level context

JetBrainsAI Coding

Cline

Free
Coding

Delegate multi-step coding tasks to an AI agent in your editor

CodingAgent

Continue

Free
Coding

An open-source AI coding assistant with smart completion and development help

CodingOpen Source

Roo Code

Freemium
Coding

Run reviewable autonomous coding tasks in your own infrastructure

CodingAgent

Tabby

Freemium
Coding

Run configurable AI coding assistance on infrastructure you control

CodingOpen Source

Tabnine

Freemium
Coding

Tabnine helps developers write code faster with AI-powered code completion and generation.

CodingAPI

GitHub Copilot

Freemium
Coding

Your AI pair programmer — code completions and chat in real time.

CodingDeveloper Tools

Frequently asked questions

Extensions or a standalone AI IDE?

Extensions keep your familiar editor, keybindings, and setup, minimizing switching costs. Standalone AI IDEs offer deeper integration and faster updates for developers willing to change workflows. If you rely on a heavily tuned environment, try an extension first.

Will it slow down my editor?

Most extensions use local caching and lazy loading, so everyday impact is limited. First-time indexing of very large repos can briefly spike resource usage. Adjust indexing scope or exclude folders if you hit lag.

Where does my code go?

Cloud completion sends relevant context snippets to the provider's servers; training use depends on the terms, and most offer an opt-out or enterprise plan. For sensitive projects pick solutions supporting local models or explicit no-training terms.