Continue

Open-source AI coding assistant for VS Code and JetBrains IDEs. Continue is a fully configurable Copilot alternative that lets you bring your own LLM — connect to Claude, GPT-4, Gemini, Llama, Ollama, or any OpenAI-compatible API. Features include inline chat, code suggestions, context-aware completions with codebase indexing, multi-file edits, and a prompts system. Self-hostable with no data sent to Continue's servers — your code stays with your chosen LLM provider.

Evaluated Mar 06, 2026 (0d ago) v1.x
Homepage ↗ Repo ↗ Developer Tools ai-coding vscode jetbrains copilot-alternative open-source byo-llm chat autocomplete self-hosted
⚙ Agent Friendliness
81
/ 100
Can an agent use this?
🔒 Security
87
/ 100
Is it safe for agents?
⚡ Reliability
78
/ 100
Does it work consistently?

Score Breakdown

⚙ Agent Friendliness

MCP Quality
--
Documentation
82
Error Messages
75
Auth Simplicity
90
Rate Limits
90

🔒 Security

TLS Enforcement
100
Auth Strength
85
Scope Granularity
80
Dep. Hygiene
85
Secret Handling
85

Code is sent to configured LLM provider — choose providers that meet data privacy requirements. Self-hosted Ollama keeps code local. Apache 2.0 licensed, fully open source.

⚡ Reliability

Uptime/SLA
82
Version Stability
78
Breaking Changes
75
Error Recovery
78
AF Security Reliability

Best When

You want full control over which LLMs power your coding assistance, want to avoid vendor lock-in, or need code to never leave your infrastructure.

Avoid When

You want zero-config coding assistance with the best possible completion quality — GitHub Copilot or Cursor are simpler to start with.

Use Cases

  • Use Claude, GPT-4, or local Llama models for AI coding assistance in VS Code/JetBrains without per-seat GitHub Copilot subscription
  • Build team coding assistant setups where code context stays within the organization using Continue with self-hosted Ollama or Tabby
  • Switch between different LLMs for different coding tasks — use Claude Sonnet for complex reasoning, Llama for simple completions
  • Extend Continue with custom slash commands and context providers to integrate team-specific knowledge bases into coding assistance
  • Use Continue as a cheaper Copilot alternative for individual developers by connecting to free-tier LLM APIs

Not For

  • Teams wanting zero AI configuration overhead — GitHub Copilot works out of the box; Continue requires LLM setup and configuration
  • Organizations needing enterprise features (SSO, audit logs, usage tracking) built in — Copilot Business and Codeium Enterprise have these
  • Agentic long-running tasks requiring autonomous operation — Continue is IDE-integrated; for autonomous coding use Aider or Claude Code

Interface

REST API
No
GraphQL
No
gRPC
No
MCP Server
Yes
SDK
No
Webhooks
No

Authentication

Methods: api_key
OAuth: No Scopes: No

API keys for connected LLM providers (Anthropic, OpenAI, etc.). Continue Hub (cloud features) has optional account. Self-hosted LLMs need no key.

Pricing

Model: open_source
Free tier: Yes
Requires CC: No

Continue extension is Apache 2.0 open source. LLM costs are paid to the chosen provider (Anthropic, OpenAI, etc.). Continue Hub for team features is in development.

Agent Metadata

Pagination
none
Idempotent
Partial
Retry Guidance
Not documented

Known Gotchas

  • Continue config is in ~/.continue/config.json or the new .continue/config.json in the project — team-shared configs require committing .continue/config.json; per-user configs should be global
  • Codebase indexing runs on first open and after file changes — large codebases take significant time to index; autocomplete may be context-unaware until indexing completes
  • Continue MCP server integration allows using MCP tools within Continue chat — requires configuring MCP servers in config.json's mcpServers section
  • Different LLMs have different context window sizes — configuring a model with a larger context_length than the LLM supports causes API errors for large file contexts
  • Continue's inline edit feature (Cmd+I) works differently from the chat panel — inline edits modify files directly; review changes before accepting to avoid unintended modifications
  • VS Code extension auto-updates may change behavior between versions — pin the extension version in production team setups to prevent surprise behavior changes

Alternatives

Full Evaluation Report

Detailed scoring breakdown, competitive positioning, security analysis, and improvement recommendations for Continue.

$99

Scores are editorial opinions as of 2026-03-06.

5208
Packages Evaluated
26151
Need Evaluation
173
Need Re-evaluation
Community Powered