Several tools now offer AI help inside the editor: inline completions, chat, and sometimes agent-style actions. The right choice depends on your stack, how you work, and what you are willing to pay. This guide compares the main options and helps you decide.
What are the main AI coding assistant options?
Here are the most widely used AI coding assistants as of 2026:
| Tool | Key features | IDE support | Pricing |
|---|---|---|---|
| GitHub Copilot | Inline completion, chat, agent (preview) | VS Code, JetBrains, Neovim, more | Paid (free for students/open source) |
| Cursor | Inline, chat, Composer (agent), codebase indexing | Cursor IDE (VS Code fork) | Free tier + paid |
| Codeium | Inline completion, chat | VS Code, JetBrains, Neovim, more | Free tier + paid |
| Amazon CodeWhisperer | Inline completion, security scans | VS Code, JetBrains | Free tier + paid |
| Tabnine | Inline completion, local model option | Many IDEs | Free tier + paid |
Each tool has trade-offs. The best choice depends on your IDE, language, privacy requirements, and workflow.
Inline completion: how it works
Inline completion tools (like GitHub Copilot's ghost text) suggest the next line or block as you type. You accept suggestions with Tab or reject with Esc. This is the most common AI coding feature.
What to consider:
- Language and framework support: Most tools support popular languages (TypeScript, Python, Go, etc.), but quality varies. Try on your main stack.
- Relevance: Do suggestions feel helpful, or do they distract you? Some tools suggest too aggressively; others are too conservative.
- Latency: Suggestions should appear within a few hundred milliseconds. Slow tools break your flow.
Try the free trial on real work. If inline completion speeds you up without breaking focus, it is worth using.
Chat and codebase awareness
Some tools add a chat panel that can see your open files or your whole repository. This is useful for:
- Asking questions: "What does this module do?" or "Where is this function used?"
- Explaining code: "Explain this regex" or "What are the edge cases here?"
- Getting suggestions: "How would you refactor this?" or "Write a test for this function."
What to consider:
- Codebase indexing: Does the tool index your entire repo, or just open files? Larger context gives better answers but may require more setup.
- Sync: Do responses reflect your latest changes, or is the index stale?
- Privacy: Codebase indexing may send more of your code to the cloud. Check the vendor's data policy.
Cursor is known for strong codebase awareness. GitHub Copilot has added similar features in Copilot Chat and Agent previews.
Agent-style features: multi-step actions
A few assistants go beyond suggestions: they can run commands, edit multiple files, or apply fixes in the terminal. This is sometimes called "agentic AI" or "AI agents."
Examples:
- Cursor Composer: Can edit multiple files, run shell commands, and continue multi-step tasks. See What Cursor Composer 1.5 means for developers.
- GitHub Copilot Agent: Preview feature that can take actions in your codebase.
What to consider:
- Review burden: Agent actions require careful review. The AI can make mistakes across many files.
- Workflow fit: If you want the AI to take action, not just suggest, agent features are powerful. If you prefer control, stick to completion and chat.
- Maturity: Agent features are newer and less predictable than inline completion. Expect some rough edges.
Privacy and data: where does your code go?
AI coding assistants typically send code snippets or context to cloud servers for processing. This raises privacy concerns for proprietary or sensitive code.
Questions to ask:
- What data is sent? Some tools send only the current line; others send whole files or repo context.
- Is data stored or used for training? Check the vendor's data retention and training policies.
- Are there local or enterprise options? Some tools (Tabnine, CodeGPT, some Copilot plans) offer local or on-premises processing.
If you work with sensitive code, read the privacy policy before you paste. For open source or personal projects, cloud processing is usually acceptable.
How to evaluate: try before you commit
Most tools offer a free trial or free tier. Here is a practical evaluation approach:
- Use on real work: Try the tool for at least a week on actual tasks, not toy examples.
- Test your main language: Quality varies by language. Make sure it works well for your stack.
- Try different task types: Inline completion, chat questions, and (if available) agent actions. See which features fit your flow.
- Note distractions: If suggestions break your focus or slow you down, the tool may not be worth it, regardless of features.
- Check pricing: Free tiers often have limits. Make sure the paid tier is worth the cost for your use case.
Your workflow and preferences matter more than feature lists. The best tool is the one that helps you without getting in the way.
Comparison summary
Here is a quick comparison of the main options:
| Feature | GitHub Copilot | Cursor | Codeium | CodeWhisperer | Tabnine |
|---|---|---|---|---|---|
| Inline completion | Yes | Yes | Yes | Yes | Yes |
| Chat | Yes | Yes | Yes | Limited | Limited |
| Codebase indexing | Yes (Copilot Chat) | Yes | Partial | No | No |
| Agent/multi-file | Preview | Yes (Composer) | No | No | No |
| Local model option | No | No | No | No | Yes |
| Free tier | No (trial/student) | Yes | Yes | Yes | Yes |
Which should you choose?
- GitHub Copilot: Best all-rounder for most developers. Wide IDE support, reliable inline completion, and improving chat/agent features.
- Cursor: Best for agent-style workflows and deep codebase awareness. Requires switching to Cursor IDE.
- Codeium: Good free alternative to Copilot. Solid inline completion and chat, wide IDE support.
- Tabnine: Best if you need local/on-premises processing for privacy.
- CodeWhisperer: Worth considering if you work in AWS-heavy environments.
For practical habits once you have chosen a tool, see AI-assisted coding: practical tips. For a deeper look at Cursor's agent features, see What Cursor Composer 1.5 means for developers.