Cursor and Amazon Q Developer represent two fundamentally different bets on how AI should integrate with your development workflow. Cursor replaced your editor entirely — it’s a fork of VS Code rebuilt from the ground up as an AI-native IDE, with cloud agents, multi-model support, and credit-based pricing starting at $20/mo. Amazon Q Developer is a free plugin that lives inside your existing IDE, deeply wired into AWS, with built-in security scanning and code transformation agents.
One costs money but gives you the most powerful AI editing experience available. The other costs nothing and gives AWS developers a genuinely useful assistant with unique capabilities like automated Java migrations. This comparison breaks down exactly what you get from each and who should pick which.
Choose Cursor if: You want the most advanced AI coding experience — full IDE with Tab predictions, multi-model choice (Claude, GPT, etc.), background agents that work autonomously, and multi-file editing. You’re willing to pay $20/mo for it. Choose Amazon Q Developer if: You build on AWS, want a free tool with security scanning, need code transformation agents (/dev, /transform), or don’t want to switch editors.
Pricing: Credit Pools vs Flat Free
| Tier | Cursor | Amazon Q Developer |
|---|---|---|
| Free | $0 — limited completions, no cloud agents | $0 — code completions, chat, 50 security scans/mo, /dev agent (limited) |
| Pro | $20/mo ($16/mo annual) — $20/mo credit pool, unlimited tab completions | $19/mo — higher limits, unlimited security scans, code transformation |
| Pro+ / Higher | $60/mo — ~$70/mo credit pool, background agents | No equivalent tier |
| Ultra | $200/mo — ~$400/mo credit pool | No equivalent tier |
| Business/Team | $40/seat/mo | $19/user/mo (same as Pro) |
| Pricing model | Credit-based — usage varies by model and task | Flat rate — predictable monthly cost |
The pricing philosophies are completely different. Cursor uses a credit pool model: you pay $20/mo and get a $20 credit pool that drains as you use premium models and agents. Use Claude Sonnet for a complex multi-file edit? That costs more credits than a simple autocomplete. Run out of credits mid-month and you’re back to basic completions or paying overages. Amazon Q’s pricing is dead simple: free for individuals, $19/user/month for Pro. No credit math. No surprise bills.
Cursor’s higher tiers — Pro+ at $60/mo and Ultra at $200/mo — exist because power users burn through the base credit pool fast. If you’re using background agents and premium models heavily, $20/mo won’t last the month. Amazon Q has no equivalent tiers because there’s no usage-based component to scale up.
For teams, the gap widens. Cursor Business at $40/seat/mo is more than double Amazon Q Pro at $19/user/mo. A 10-person team pays $400/mo for Cursor vs $190/mo for Amazon Q — and the Amazon Q team gets security scanning included.
Agent Capabilities: Background Agents vs /dev and /transform
Both tools offer agentic features, but they work differently and solve different problems.
| Agent Feature | Cursor | Amazon Q Developer |
|---|---|---|
| Background agents | Cloud agents that work autonomously — assign a task, close your laptop, come back to a PR | No equivalent |
| Feature implementation | Agent mode — multi-file edits, terminal commands, iterative coding | /dev agent — generates plan, writes code, creates tests |
| Code transformation | Manual refactoring via chat/agent | /transform agent — automated language/framework upgrades (Java 8→17, .NET migrations) |
| Model selection | Choose from Claude, GPT-4o, Gemini, and more — switch per task | Amazon’s own models only |
| Agent execution | Runs in cloud VMs — can execute code, run tests, use terminal | IDE-integrated — generates diffs for your review |
Cursor’s background agents are its marquee feature. You describe a task — “add pagination to the user list endpoint with tests” — and the agent spins up a cloud VM, clones your repo, implements the feature, runs tests, and opens a pull request. You don’t need your laptop open. You don’t need to watch it work. This is genuinely autonomous coding, and nothing in Amazon Q matches it. Background agents require the Pro+ tier ($60/mo) or higher.
Amazon Q’s /dev agent is more interactive. It generates an implementation plan, writes code across multiple files, and presents diffs for approval. It works within your IDE session, not in the cloud. The /transform agent is Amazon Q’s unique strength — it handles large-scale language migrations automatically. Upgrading a Java 8 codebase to Java 17, including API changes, deprecated methods, and framework updates, is a task that would take a team weeks. /transform does it in hours.
Cursor’s agents eat through credits fast. A single background agent run on a complex task can consume a significant chunk of your monthly credit pool. If you plan to use agents daily, the $20/mo Pro plan likely won’t be enough — budget for Pro+ at $60/mo or Ultra at $200/mo. Amazon Q’s /dev agent has interaction limits on the free tier (10 agent invocations/mo) but unlimited usage on Pro for a flat $19/mo.
Context and Code Understanding
| Aspect | Cursor | Amazon Q Developer |
|---|---|---|
| Multi-file editing | Native — edit multiple files in a single operation with full diff view | /dev agent generates multi-file diffs |
| Codebase indexing | Indexes entire repo — @codebase lets you query across all files | Workspace indexing of open project |
| Tab completions | Predictive — suggests multi-line edits, anticipates next action | Standard inline completions |
| Context sources | Files, docs, web, @-mentions for precise context control | Open files, project structure, AWS documentation |
Cursor’s Tab completion is the feature that hooks people. It doesn’t just complete the current line — it predicts your next edit across the file. Change a function signature, and Tab suggests updating every call site. Rename a variable, and it offers to rename every reference. This is a different experience from standard autocomplete, and it’s the reason many developers say Cursor “feels like it reads your mind.”
Cursor also gives you fine-grained context control. You can @-mention specific files, documentation, or even web URLs to give the model exactly the context it needs. Amazon Q relies on workspace indexing — it reads your project files automatically but doesn’t let you point it at specific external resources the same way.
For pure code understanding, the model matters. Cursor lets you choose — Claude for nuanced reasoning, GPT-4o for speed, Gemini for large context. Amazon Q uses its own models, fine-tuned for AWS and developer tasks. You can’t swap them. If Amazon’s model struggles with a particular task, you’re stuck. With Cursor, you switch models and try again.
IDE Experience: Full Editor vs Plugin
This is the most fundamental difference between these two tools, and it shapes everything else.
| Aspect | Cursor | Amazon Q Developer |
|---|---|---|
| What it is | Full IDE (VS Code fork) — replaces your editor | Plugin/extension — lives inside your existing editor |
| Supported editors | Cursor only (VS Code extensions compatible) | VS Code, JetBrains (IntelliJ, PyCharm, etc.), CLI |
| AI integration depth | Deep — AI is woven into every part of the editor UX | Extension-level — chat panel + inline completions |
| Switching cost | Must switch editors (imports VS Code settings) | Zero — install extension, keep your editor |
| JetBrains support | None — Cursor is VS Code only | Full plugin for all JetBrains IDEs |
Cursor is your entire editor. You don’t install it alongside VS Code — you replace VS Code with it. The upside: AI is integrated into every interaction. Inline editing, Cmd+K commands, agent panels, diff views — it all feels native because it is. The downside: you’re locked into Cursor’s editor. If you prefer JetBrains, Neovim, or even regular VS Code, Cursor isn’t an option without switching.
Amazon Q is an extension. Install it in VS Code or any JetBrains IDE and keep working exactly as you were, with AI chat and completions added. The switching cost is zero. The tradeoff: the AI integration is shallower. Amazon Q can’t reshape your entire editing experience the way Cursor does because it’s constrained by what the extension API allows.
For JetBrains users, the choice is made for you. Cursor doesn’t support JetBrains. Amazon Q does. If IntelliJ or PyCharm is your IDE and you won’t switch, Amazon Q is your answer.
Security Features
| Security Feature | Cursor | Amazon Q Developer |
|---|---|---|
| Vulnerability scanning | None built-in | Built-in — detects OWASP issues, suggests fixes, 50 scans/mo free |
| License detection | None | Flags code similar to open-source with license info |
| Privacy mode | Privacy mode — code never stored on Cursor servers | Pro: code not used for training |
| Enterprise SSO | Business plan includes SSO | IAM Identity Center, SAML |
Security is one of Amazon Q’s clearest advantages. Its built-in vulnerability scanner proactively detects SQL injection, hardcoded credentials, insecure dependencies, and other OWASP issues — then suggests specific fixes. This is included on the free tier (50 scans/month) and unlimited on Pro. For teams that need basic SAST coverage, Amazon Q replaces a separate security scanning tool.
Cursor has no equivalent. It doesn’t scan your code for vulnerabilities. It doesn’t flag license issues. If security scanning matters to your workflow, you’ll need a separate tool alongside Cursor. Amazon Q bundles it in for free.
Cloud Integration
| Integration | Cursor | Amazon Q Developer |
|---|---|---|
| Cloud provider | Cloud-agnostic — works with any provider equally | Deeply integrated with AWS |
| AWS services | General knowledge via chosen model | Deep — Lambda, DynamoDB, S3, CloudFormation, CDK, SAM |
| Console integration | None | Built into AWS Console — troubleshoot production from dashboard |
| IaC support | General Terraform/IaC via chat | CloudFormation, CDK, Terraform with AWS-specific context |
| CLI integration | Terminal panel within Cursor | Dedicated CLI chat, AWS CLI command generation |
If your infrastructure runs on AWS, Amazon Q is a domain expert that Cursor can’t match. Q knows Lambda cold start optimization patterns, DynamoDB single-table design, S3 lifecycle policies, and CloudFormation quirks. It generates infrastructure-as-code with correct AWS-specific syntax and catches configuration mistakes that generic AI tools miss. The AWS Console integration means you can ask Q questions while staring at a CloudWatch dashboard in production.
Cursor is cloud-agnostic by design. It doesn’t favor AWS, GCP, or Azure — it relies on whichever model you select to provide cloud knowledge. If you use Claude or GPT-4o in Cursor, you get solid general cloud knowledge, but not the deep AWS-specific awareness that Amazon Q provides. For developers who work across multiple clouds or don’t use AWS at all, Cursor’s neutrality is actually an advantage.
Where Cursor Wins
- AI editing experience: Tab predictions, multi-file inline edits, Cmd+K commands — the editing flow is unmatched because AI is built into the editor itself, not bolted on.
- Background agents: Assign a task, close your laptop, get a PR. No other tool offers truly autonomous cloud-based coding agents at this level.
- Model choice: Use Claude for reasoning, GPT-4o for speed, Gemini for context — switch per task. You’re never locked to one model’s strengths and weaknesses.
- Multi-file editing: Cursor’s Composer can edit 10+ files in a single operation with a unified diff view. For large refactors, this is dramatically faster than reviewing file-by-file.
- Cloud-agnostic: Equally good for AWS, GCP, Azure, or bare metal. No vendor lock-in in the AI tool layer.
- Power user ceiling: The Ultra tier at $200/mo with ~$400 in credits is built for developers who want to push AI-assisted coding to its limits.
Where Amazon Q Developer Wins
- Price: Free for individuals, period. Not “free with crippling limits” — genuinely useful code completions, chat, security scanning, and agent access at $0.
- Security scanning: Built-in SAST-like vulnerability detection with auto-fix suggestions. Cursor has nothing equivalent.
- /transform agent: Automated Java 8→17, .NET Framework→.NET 6+ migrations save weeks of manual work. Cursor has no equivalent.
- AWS integration: Deep knowledge of AWS services, Console integration, IaC generation — purpose-built for the AWS ecosystem.
- IDE flexibility: Works in VS Code, JetBrains, and CLI. You keep your editor. Cursor forces you into its fork.
- Predictable pricing: $19/mo is $19/mo. No credit pools, no usage anxiety, no surprise overages.
The Bottom Line: Your Decision Framework
- If you want the best AI editing experience and will pay for it: Cursor. Nothing else matches its Tab predictions, multi-file editing, and background agents. The $20/mo Pro plan is the entry point; serious users will land on Pro+ at $60/mo.
- If you build on AWS and want a free tool: Amazon Q Developer. Deep AWS integration, security scanning, and /dev and /transform agents — all free for individual developers. The value per dollar is effectively infinite.
- If you use JetBrains IDEs: Amazon Q Developer. Cursor is VS Code only. Full stop. If IntelliJ or PyCharm is your IDE, Amazon Q is the choice.
- If you maintain legacy Java or .NET: Amazon Q Developer. The /transform agent handles major version migrations automatically. Cursor can help you refactor manually, but it can’t automate a Java 8→17 upgrade end-to-end.
- If you want model flexibility: Cursor. Being able to switch between Claude, GPT-4o, and Gemini per task is a real advantage. Amazon Q locks you into Amazon’s own models.
- If budget is tight but you want AI assistance: Amazon Q Developer. Free is free. Cursor’s free tier is too limited for daily use. Amazon Q’s free tier is genuinely capable.
- If you want autonomous background agents: Cursor. Amazon Q’s agents work within your IDE session. Cursor’s background agents work while you sleep. For teams that want to parallelize AI and human work, this is transformative.
Not easily. Cursor is a standalone IDE, not an extension. You can’t install Amazon Q inside Cursor (it’s a VS Code fork, so it might work, but it’s unsupported). The practical approach: use Cursor as your primary editor for AI-powered coding, and use Amazon Q in the AWS Console for cloud-specific troubleshooting and in the CLI for terminal workflows. They complement each other at different layers rather than competing in the same IDE window.
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Data sourced from official pricing pages, March 2026. Open-source dataset at lunacompsia-oss/ai-coding-tools-pricing.