FEATURED • CODING TOOLS2026 selection

Best Self-Hosted AI Coding Assistants and Plugins

A practical comparison for developers who care about code privacy, private networks, and running models on infrastructure they control.

The short answer

Jump straight to the tool that fits your workflow.

How we selected

Supports local models or private endpoints
Makes the code-data boundary clear
Fits a real development workflow
Matches deployment effort to team size

At-a-glance comparison

Tool	Tool type	Setup effort	Ollama / local LLM	Best for
Cline	Agent plugin	⚡ Very low	✅ Full support	Multi-file refactors, terminal automation, and complex tasks
Continue	IDE plugin (archived)	⚡ Very low	✅ Full support (OSS edition)	Basic completion, inline chat, and Q&A (archived)
Tabby	Self-hosted server	🔧 Moderate	➖ Built-in / server-side	Private Copilot for teams and enterprise networks
Aider	CLI terminal assistant	⚡ Low	✅ Full support	Git and terminal workflows, pair programming

Quick comparison

Continue

Editor plugin / coding assistant

Best for: Best for completion and everyday chat
Deployment: The plugin does not include a model. Connect it to Ollama, LM Studio, or a private API endpoint.

Local / private model endpointSupports VS Code and JetBrainsStrong fit for local-model completion and chatFlexible model and endpoint configuration

Watch out for：You must provide the model runtime; quality depends on the local model and hardware.

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Cline

Editor plugin / agent

Best for: Best for autonomous multi-step tasks
Deployment: The plugin does not include a model. It can connect to Ollama, LM Studio, or a private API endpoint, then run terminal commands and edit multiple files.

Terminal command executionAgent-first rather than autocomplete-onlyCan use the terminal to perform tasksUseful for request-to-edit workflows

Watch out for：Its autonomy requires reviewing proposed commands and file changes.

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Tabby

Self-hosted server / team IDE access

Best for: Best for an internal team Copilot
Deployment: Deploy the model service on your own server and let team members connect through IDE integrations for centralized, private access.

Team server deploymentCentralized server deploymentDesigned for team-wide accessFits private enterprise networks

Watch out for：It requires more infrastructure and operations than a single-user plugin.

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Aider

Terminal / Git pair programming

Best for: Best for terminal workflows
Deployment: It is not an IDE plugin. It is a Terminal/Git pair-programming tool that can connect to local models such as Ollama.

Terminal / Git workflowFits directly into Git workflowsUseful for terminal-based code review and editsClear local-model integration

Watch out for：There is no IDE-plugin UI, so graphical-editor users may need to adapt to the terminal.

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Frequently asked questions

What hardware is needed for a local coding AI?

It depends on model size. Small models can run on a normal development machine, while larger ones need more RAM or VRAM. Start with a smaller coding model supported by Ollama.

Can these tools connect to Ollama?

Continue, Cline, and Aider can be configured to use a local model service. Tabby is more commonly deployed as a team server with IDE integrations. Check each project's current documentation for exact compatibility.

Does a local model guarantee that code never leaves the machine?

Not automatically. Check plugin settings, telemetry, model downloads, and API endpoints. The intended boundary is achieved only when the model and requests stay on controlled local or private infrastructure.

Should I choose an IDE plugin or a terminal assistant?

Choose Continue for everyday completion and editor chat, Cline for autonomous tasks, Tabby for a team-managed private deployment, and Aider for Git-heavy terminal workflows.