Aider vs Continue

Detailed side-by-side comparison to help you choose the right tool

Aider

🔴Developer

AI Coding Assistant

Open-source terminal coding agent that pairs with git, edits multiple files at once, and works with any leading LLM.

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Starting Price

Free

Continue

🔴Developer

AI Coding Assistant

Open-source AI code assistant for VS Code and JetBrains — bring your own models, curate a shared block library, ship as an internal platform.

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Starting Price

Custom

Feature Comparison

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FeatureAiderContinue
CategoryAI Coding AssistantAI Coding Assistant
Pricing Plans14 tiers36 tiers
Starting PriceFree
Key Features
  • Terminal-based AI pair programming
  • Direct file editing with Git auto-commits
  • Multi-model support (Claude, GPT-4o, DeepSeek, local)
  • Multi-model AI support including OpenAI, Claude, Gemini, and local models
  • Native IDE extensions for VS Code and JetBrains with smooth workflow integration
  • MCP server connectivity for development toolchain integration

Aider - Pros & Cons

Pros

  • Truly free and open-source (Apache 2.0) with no commercial upsell
  • Model-agnostic BYOK across 20+ providers, including self-hosted Ollama/vLLM
  • Every edit is a git commit with a real message — trivial to review and undo
  • Publishes the most-cited independent code-editing benchmark leaderboard
  • Runs in any terminal — no IDE lock-in, works over SSH and inside tmux

Cons

  • Terminal-only; no IDE UI for hover, inline diff, or CodeLens-style affordances
  • Steep learning curve compared to click-to-accept IDE agents like Cursor
  • Repo-map indexing on huge monorepos can chew tokens and needs manual tuning
  • MCP client support is still marked experimental

Continue - Pros & Cons

Pros

  • Truly BYOK across 15+ providers — nothing is hard-wired to a single vendor
  • Apache 2.0 core makes procurement trivial for regulated enterprises
  • Continue Hub lets platform teams ship a standard assistant to every developer
  • First-class MCP client so team MCP servers become instantly reusable
  • Works in both VS Code and JetBrains — one config across polyglot teams

Cons

  • You are responsible for choosing and paying providers — no all-in-one price
  • Autocomplete quality depends heavily on which model you route to
  • Agent mode is competent but less aggressive than Cursor Composer or Cascade
  • Hub adoption still evolving; block ecosystem smaller than closed marketplaces
  • Teams tier pricing is not published — expect a sales conversation for real orgs

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