The “AI in your IDE” space exploded in 2024 and consolidated in 2025–2026 around five serious products: Cursor, Continue.dev, Cline, Aider, and Claude Code. They look superficially similar — chat with a model, get code suggestions — but they are designed around very different assumptions about how a programmer should work with AI. Picking the right one matters more than people credit.

This article walks through what each one is, what it is good at, and which audience it genuinely serves. Skip to the recommendation matrix if you want the answer fast.

The five tools at a glance

Tool	Type	License	Pricing	Default Model
Cursor	VS Code fork	Proprietary	Free / $20-40/mo	Claude / GPT (cloud)
Continue.dev	VS Code/JetBrains plugin	Apache 2.0	Free	BYO (cloud or local)
Cline	VS Code extension	Apache 2.0	Free	BYO (Anthropic / OpenAI / etc.)
Aider	Terminal CLI	Apache 2.0	Free	BYO (any)
Claude Code	Terminal CLI by Anthropic	Proprietary	Subscription / API	Anthropic Claude only

The split that matters: Cursor and Claude Code are products — opinionated, polished, locked to specific model providers (or to their own bundle). Continue, Cline, and Aider are tools — bring your own model, more flexible, less polished.

Cursor

Cursor is a fork of VS Code with deep AI integration: inline completions, chat panel (Cmd+L), inline edit (Cmd+K), and “Composer,” a multi-file agent mode that can plan and execute non-trivial tasks across a codebase.

Strengths:

• The most polished AI-IDE experience available. Latency is excellent, the UI is thoughtful, the keyboard shortcuts feel natural.
• Composer (agent mode) is genuinely useful for multi-file refactors, bug hunts, and feature implementation.
• Excellent codebase indexing — type @ in chat and reference any file.
• Tight integration with the latest cloud models. Default routing usually picks Claude Sonnet or GPT for the heavy lifting.

Weaknesses:

• Closed source. You cannot self-host it, audit it, or run it offline at full capability.
• Per-month pricing ($20 Hobby, $40 Pro) on top of any underlying model costs.
• Local-model support exists (custom OpenAI base URL) but is limited — Composer agent mode does not work reliably against local models.
• Privacy posture is “we do not train on your code without consent” — believable but not auditable.

Who Cursor is for: professional developers whose company pays for it (or who pay $40/mo themselves) and who prioritize maximum daily productivity over openness or cost. The single most common honest review: “I tried to switch away three times. I came back.”

Continue.dev

Continue is the open-source extension that does for VS Code (and JetBrains IDEs) what Cursor does for its fork — chat, inline completions, agent mode, code retrieval — but as a plugin you install on your existing IDE.

Strengths:

• Open source (Apache 2.0). Audit it, fork it, run it offline.
• Bring your own model — works with any OpenAI-compatible endpoint, including local Ollama, LM Studio, or self-hosted vLLM.
• Multi-IDE support — VS Code, IntelliJ, PyCharm, etc.
• Good agent mode that works against frontier cloud models and capable local models.
• No subscription — pay only for the models you use (or zero if you run local).
• Configuration is YAML, version-controllable, shareable.

Weaknesses:

• The polish gap with Cursor is real. Less keyboard-shortcut consistency, less smooth completion UX, occasional rough edges in the multi-file agent.
• Smaller community → fewer integrations and tutorials than Cursor.
• BYO-model means you own the configuration burden — Cursor “just works” out of the box; Continue requires a config file.

Who Continue is for: developers who want an open-source, model-agnostic IDE assistant — especially anyone running local models for privacy, anyone whose company forbids closed-source AI tools, anyone who hates per-month subscriptions.

Cline

Cline (originally “Claude Dev”) is a VS Code extension focused specifically on agent mode — the model can read files, write files, run terminal commands, and iterate on a goal autonomously. The interface is a chat panel; tasks are described as natural language; Cline executes them step by step with user approval at each tool use.

Strengths:

• Best-in-class autonomous agent loop. For “implement this feature” or “fix this bug across these three files” tasks, Cline often gets there in a single conversation.
• Open source.
• Tight visualization of what the agent is doing — every file edit, every command, every tool call is shown and approvable.
• Plays nicely with any model that has good tool-use — Claude, GPT-4o, Gemini, and the better local models.

Weaknesses:

• Not designed for inline completions. Cline is a chat-driven agent, not a Tab-completion experience. If you want both, pair it with another extension.
• Token-heavy. Multi-step agent tasks consume substantial context, which translates to cost on cloud models or to slow performance on local ones.
• Fewer “soft” features (codebase retrieval, prompt templates) than Cursor or Continue.

Who Cline is for: developers who specifically want to delegate well-defined tasks to an AI agent and review the results. Pair Cline with GitHub Copilot or Continue’s inline completions for the full IDE experience.

Aider

Aider is the venerable terminal-based AI pair programmer. You launch it from a directory, specify the files you want to work on, and chat with it about what you want changed. Aider edits the files in place and can auto-commit each change to git.

Strengths:

• Terminal-native. No IDE required. Pairs naturally with any text editor (vim, emacs, Sublime, VS Code itself if you want).
• Excellent git integration. Every edit becomes a commit; reverting AI changes is git reset.
• Model-agnostic. Works with Anthropic, OpenAI, OpenRouter, Ollama, anything.
• Mature codebase, very stable, low-friction install (pip install aider-install).
• “Architect mode” — uses one model to plan and another to write, often improving quality.

Weaknesses:

• No inline completions. Aider is a chat-driven editor, not a typing assistant.
• Terminal UX is functional but less discoverable than a GUI.
• Multi-repo or non-git workflows are awkward — it really wants to live inside a git repo.

Who Aider is for: terminal-first developers, vim/emacs users, anyone who treats their IDE as “vim plus tmux,” or anyone who wants AI editing baked into git history rather than into an editor session.

Claude Code

Claude Code is Anthropic’s first-party CLI agent. It is a terminal tool (similar in shape to Aider but with Anthropic’s particular model and tool design) that can read your codebase, edit files, run commands, search the web, and iterate.

Strengths:

• Tight integration with Claude (Anthropic’s frontier model). The agent loop is tuned for Claude’s tool-use patterns.
• Powerful built-in tools: file read/write, glob search, grep, bash execution, web fetch, agent delegation.
• Background tasks and parallel agents. You can spawn sub-agents for research while the main one works.
• Claude’s quality on coding tasks (especially with Opus models) is currently among the best available.
• Memory system for project context across sessions.

Weaknesses:

• Anthropic-only. No model swap.
• Subscription required (Claude Max at $100/mo or API usage).
• Terminal-only. No native IDE inline completion.
• Closed source.

Who Claude Code is for: anyone who has bet on Claude as their primary model, wants the best-in-class agent loop for that model, and prefers a terminal interface. The Max subscription unlocks the full agent capability with no per-token billing — for heavy users this is far cheaper than equivalent API usage.

How they compare on the specific things

Inline code completion

Cursor      ★★★★★  best-in-class
Copilot     ★★★★★  (omitted from this article but worth mentioning)
Continue    ★★★★    very good, especially with a fast local model
Cline       ★      not designed for this
Aider       ★      not designed for this
Claude Code ★      not designed for this

Multi-file agent mode

Cursor (Composer)   ★★★★★  on cloud models
Cline               ★★★★★  most explicit, controllable agent loop
Claude Code         ★★★★★  best on Claude specifically
Continue            ★★★★   good with frontier models, ok with local
Aider               ★★★    architect mode + reasonable autonomy

Local model support

Continue            ★★★★★  first-class
Aider               ★★★★★  works with any OpenAI-compatible endpoint
Cline               ★★★★    works but agent loops are token-heavy locally
Cursor              ★★      custom-model setting exists, agent mode is fragile
Claude Code         ★       Anthropic-only

Cost

Continue (with local)   $0
Aider (with local)      $0
Cline (with cloud)      pay-as-you-go API
Cursor                  $20-40/mo + (often) usage on top
Claude Code             $100/mo subscription or API

Which one is right for you

I will be opinionated.

You write code professionally and your employer pays for tools → Cursor + Cline as a backup. The polish is worth it; the agent capability is real.

You want to use AI in your IDE without paying a monthly subscription → Continue.dev with Claude API or with a local model.

You want the best autonomous agent and you do not care about inline completions → Cline with Claude Sonnet 4.6 cloud, or Claude Code if you have the Max subscription.

You live in the terminal and want AI in your existing workflow → Aider, full stop.

You are a Claude believer and have the Max subscription → Claude Code, supplemented with Continue inside VS Code for inline completion.

You need privacy / local-only operation → Continue.dev with Ollama, as covered in our local Cursor setup guide.

Most pragmatic stack for someone trying to optimize for productivity + cost + quality: Continue.dev for inline completions and quick chat, Claude Code or Cline for agent-mode work, both pointed at a Claude Max subscription. Total cost: $100/mo flat. Coverage: every realistic AI-coding task.

What this all means for the next few years

The differentiation between these tools used to be model quality — whoever had the best underlying LLM won. That race is converging: Claude, GPT, Gemini, and the open-weight models are all “good enough.” The differentiation now is workflow design — how does the tool fit into your actual day, your actual edit patterns, your actual codebase shape.

Pick the tool whose mental model matches yours, not the one with the loudest marketing. And whichever tool you pick, the meta-skill that survives the AI coding era is “the ability to specify what you want clearly and review what the AI produces critically.” That skill is independent of which IDE you use, and it is the one programmers who keep their jobs in 2027 will have built.

For background on running models locally to feed any of these tools, see our runner comparison and the VRAM guide.