Amazon Q Developer and Cody attack AI-assisted development from completely different angles. Amazon Q Developer is a free IDE extension with deep AWS integration — giving you code completions, chat, and built-in security scanning at zero cost, with purpose-built knowledge of Lambda, S3, EC2, CDK, and IAM. Cody is an IDE extension powered by Sourcegraph’s code graph — giving you free Claude Sonnet access, cross-repo code intelligence, and the ability to search and navigate symbols across thousands of repositories.
The core tension: Amazon bets that free tooling with built-in security scanning and deep cloud integration will capture developers already invested in its ecosystem. Sourcegraph bets that understanding your entire codebase — not just the file you have open — is the key to better AI assistance, and that model choice matters more than model lock-in. Both have genuinely strong free tiers. Your choice depends on whether your biggest pain point is cloud infrastructure complexity or navigating a large, multi-repo codebase.
Choose Amazon Q Developer if: Free matters and you build on AWS, you want built-in security scanning at no cost, you need Java migration tooling (/transform), or you use Visual Studio or the AWS Lambda console. Choose Cody if: You work across large or many repositories, you want model choice (Claude Sonnet free, GPT-4o, Gemini, Mixtral), cross-repo code intelligence is critical, or you use Neovim.
Pricing: Two Strong Free Tiers, Different Paid Stories
| Tier | Amazon Q Developer | Cody |
|---|---|---|
| Free | $0 — completions, chat, security scans | $0 — Claude Sonnet, chat, completions |
| Pro | $19/user/mo — agents, /dev, /transform | $9/user/mo — higher limits, all models |
| Enterprise | $19/user/mo Pro (org-managed via AWS IAM) | $19/user/mo — private code graph, SSO, admin |
| Free tier model | Amazon’s model only | Claude Sonnet included free |
| Pricing model | Flat rate — predictable monthly cost | Flat rate — predictable monthly cost |
Both tools have genuinely strong free tiers — but they emphasize different things. Amazon Q Developer’s free tier includes completions, chat, and real-time security scanning at $0/mo. That last item is unique: no other free AI coding tool includes built-in vulnerability detection. Amazon can afford to give this away because Q Developer is the on-ramp to AWS consumption, which is the real revenue engine.
Cody’s free tier includes Claude Sonnet — one of the best coding models available — for completions and chat at $0/mo. That’s a strong value proposition. Most competitors either use their own weaker model on the free tier or cap usage aggressively. Cody gives you a frontier model for free, with reasonable usage limits.
At the Pro level, Cody is significantly cheaper: $9/user/mo vs $19/user/mo. Cody Pro unlocks higher limits and access to all available models (GPT-4o, Gemini, Mixtral). Amazon Q Pro unlocks the /dev and /transform agent commands for multi-file code generation and automated Java version migrations. The $10/mo difference buys you very different capabilities — Amazon Q Pro is about agents and migration tooling; Cody Pro is about model breadth and higher quotas.
At the Enterprise level, both land at $19/user/mo but with different value propositions. Amazon Q Enterprise runs through AWS IAM and Organizations — natural for AWS-native shops. Cody Enterprise deploys Sourcegraph’s private code graph on your infrastructure, giving you cross-repo intelligence over your entire codebase with SSO, admin controls, and data isolation.
Code Intelligence: The Decisive Divide
| Capability | Amazon Q Developer | Cody |
|---|---|---|
| Context source | Open files + project files in current workspace | Sourcegraph code graph — cross-repo, org-wide |
| Cross-repo search | No — limited to current workspace | Yes — search across thousands of repos |
| Symbol navigation | Standard IDE-level (language server) | Precise cross-repo — find references, definitions across repos |
| Codebase awareness | Current project + AWS service knowledge | Entire organization’s codebase (Enterprise) |
| Code graph | No equivalent | Sourcegraph’s precise code graph with SCIP indexing |
| Best for | Single-project, cloud-focused development | Large orgs with many interdependent repos |
This is where Cody has a structural advantage that no other AI coding tool can match. Cody is built on Sourcegraph — the company that pioneered universal code search and navigation across massive codebases. When Cody answers a question about your code, it draws context from the entire code graph: every repository, every symbol definition, every reference, across your whole organization. Ask “where is this interface implemented?” and Cody doesn’t just search the current project — it finds implementations across hundreds of repos.
Amazon Q Developer has no equivalent to this. Its context is limited to the current workspace — the files you have open and the project you’re working in. For single-project development, this is fine. But if you work in an organization with dozens or hundreds of interdependent repositories — microservices, shared libraries, internal SDKs — Amazon Q simply cannot see the connections between them. Cody can.
For enterprise engineering organizations, this is often the deciding factor. A platform team maintaining shared libraries needs to understand who calls their functions across the entire org. A developer working on a service needs to see how upstream and downstream services interact. Cody’s code graph makes the AI aware of these cross-repo relationships. Amazon Q treats each project as an island.
Cloud Integration and Security
| Aspect | Amazon Q Developer | Cody |
|---|---|---|
| Cloud provider | Deep AWS integration — Lambda, S3, EC2, CDK, IAM | Cloud-agnostic — works with any provider |
| Security scanning | Built-in, real-time vulnerability detection (free) | No built-in security scanning |
| IAM awareness | Understands IAM policies, roles, permissions | No IAM-specific knowledge |
| Infrastructure as Code | CDK, CloudFormation, SAM awareness | General IaC support (no provider-specific depth) |
| Enterprise auth | AWS IAM / Organizations | SSO, SCIM, private deployment |
Amazon Q Developer’s defining advantage beyond code intelligence is security scanning built into the free tier. As you write code, Q scans for vulnerabilities, insecure patterns, and potential exploits — in real time, at $0/mo. No other free AI coding tool does this. Cody has no built-in security scanning at any tier. If you want vulnerability detection alongside your AI assistant, Amazon Q is the only free option that delivers it.
Amazon Q also has deep AWS infrastructure awareness. It understands Lambda function configurations, S3 bucket policies, EC2 instance types, CDK constructs, CloudFormation templates, and IAM policies. Ask it to write a Lambda function that reads from DynamoDB and writes to SQS, and it generates code with correct IAM permissions, proper error handling, and idiomatic SDK usage. This is not generic cloud knowledge — it is purpose-built AWS expertise that Cody cannot replicate.
Cody’s counter is cloud neutrality. It treats AWS, Azure, GCP, and any other provider the same way. For teams running multi-cloud or building on Azure/GCP, Amazon Q’s deep AWS integration is irrelevant. Cody’s strength is that it understands your code regardless of what cloud it deploys to, because its intelligence comes from the code graph, not from cloud provider partnerships.
Agent Capabilities and Model Choice
| Capability | Amazon Q Developer | Cody |
|---|---|---|
| Agentic mode | /dev — multi-file generation, plans, tests (Pro) | Agentic features for edit and fix workflows |
| Code migration | /transform — automated Java version upgrades (Pro) | No dedicated migration tooling |
| Model choice | Amazon’s model only — no choice | Claude Sonnet (free), GPT-4o, Gemini, Mixtral |
| Free-tier model quality | Amazon’s proprietary model | Claude Sonnet — frontier-class model |
| IDE support | VS Code, JetBrains, Visual Studio, Cloud9, Lambda console | VS Code, JetBrains, Neovim, web |
| Unique IDE access | Lambda console, Cloud9, Visual Studio | Neovim, Sourcegraph web UI |
Amazon Q Developer Pro’s agent commands are task-oriented and specific. Type /dev and describe what you want: “add rate limiting to the API gateway.” Q generates an implementation plan, writes code across multiple files, and creates tests. Type /transform and point it at a Java 8 application: Q analyzes the codebase and upgrades it to Java 17, handling API changes, deprecated methods, and dependency updates automatically. These are surgical tools for specific, high-value problems — but they require the $19/mo Pro tier.
Cody’s agentic features are more general-purpose — edit and fix workflows that leverage the code graph for context. Where Cody truly differentiates is model choice. On the free tier, you get Claude Sonnet — a frontier-class model that ranks among the best for coding tasks. On Pro, you can switch between GPT-4o, Gemini, and Mixtral depending on the task. Amazon Q uses only Amazon’s proprietary model with no option to change. For developers who have preferences about which model handles which tasks best, Cody’s flexibility is a real advantage.
The /transform command deserves special attention. Automated Java version migration is a unique capability — no other AI coding tool offers it. Enterprise Java shops sitting on Java 8 or 11 codebases have a concrete, measurable reason to adopt Amazon Q Pro. This is not a general-purpose feature; it is a surgical tool for a specific, extremely high-value problem that can save weeks of manual migration work.
Cody gives you Claude Sonnet for free — a model that consistently ranks at the top of coding benchmarks. Amazon Q’s free tier uses Amazon’s own model, which is capable but not in the same tier as Claude Sonnet for complex coding tasks. If raw model quality on the free tier is your priority, Cody has a clear edge. If security scanning and AWS integration matter more than model choice, Amazon Q’s free tier delivers value that Cody cannot.
Where Amazon Q Developer Wins
- Free security scanning: Real-time vulnerability detection at $0/mo. No other free AI coding tool includes this. Cody has no built-in security scanning at any tier.
- AWS integration depth: Lambda, S3, EC2, CDK, CloudFormation, IAM — purpose-built knowledge of the entire AWS ecosystem. If your stack runs on AWS, Q speaks your infrastructure’s language natively.
- IDE breadth: VS Code, JetBrains, Visual Studio, Cloud9, and the Lambda console. Five editor environments, including the Lambda console and Cloud9 that no competitor touches.
- /transform for Java migration: Automated Java version upgrades across entire codebases. Unique capability. Enterprise Java shops have a concrete reason to pay $19/mo.
- /dev for multi-file generation: Plan-then-execute agent that generates code, tests, and implementation plans across files. Structured and predictable agentic workflow.
- Zero switching cost: Install the extension and keep your entire existing setup. No new IDE, no new workflow, no disruption.
Where Cody Wins
- Cross-repo code intelligence: Sourcegraph’s code graph is Cody’s killer feature. Search and navigate symbols across thousands of repositories. Find every implementation of an interface, every caller of a function, across your entire organization. Amazon Q has no equivalent.
- Model choice: Claude Sonnet free, GPT-4o, Gemini, and Mixtral on Pro. Use the best model for each task instead of being locked into Amazon’s model. The free-tier model (Claude Sonnet) is arguably the best free coding model available anywhere.
- Cheaper Pro tier: $9/user/mo vs $19/user/mo. Nearly half the price for a Pro upgrade with higher limits and model access.
- Codebase-wide context: Cody’s answers draw from your entire codebase, not just the open file. For large organizations with complex, interdependent codebases, this produces meaningfully better suggestions.
- Neovim support: First-class Neovim extension. Amazon Q has no Neovim support. For the Neovim-committed, the choice is made.
- Cloud neutrality: Works equally well with AWS, Azure, GCP, or bare metal. Amazon Q’s deep integration is an advantage on AWS and a non-factor everywhere else.
- Enterprise code graph: Sourcegraph Enterprise gives you a private code graph deployed on your infrastructure with SSO, SCIM, and complete data isolation. A fundamentally different enterprise value proposition than IAM-based access management.
The Bottom Line: Your Decision Framework
- If you build on AWS: Amazon Q Developer. Deep integration with Lambda, S3, EC2, CDK, CloudFormation, and IAM. Q speaks AWS natively. Cody treats AWS as just another cloud provider.
- If you work across many repositories: Cody. Sourcegraph’s code graph gives Cody cross-repo search, symbol navigation, and context awareness that Amazon Q simply does not have. For organizations with dozens or hundreds of repos, this is transformative.
- If free security scanning matters: Amazon Q Developer. Real-time vulnerability detection at $0/mo. No other free AI coding tool does this. Cody has no built-in security scanning at any price.
- If model quality on the free tier matters: Cody. Claude Sonnet is a frontier-class coding model, included free. Amazon Q’s proprietary model is capable but not in the same league for complex tasks.
- If you have a large Java codebase to migrate: Amazon Q Developer. The /transform command automates Java version upgrades across entire codebases. No other AI coding tool offers this. Weeks of manual work reduced to hours.
- If model flexibility matters: Cody. Switch between Claude Sonnet, GPT-4o, Gemini, and Mixtral per task. Amazon Q uses its own model without choice.
- If you use Visual Studio or the Lambda console: Amazon Q Developer. Cody does not support Visual Studio or Cloud9. Amazon Q has full plugins for both plus the Lambda console.
- If you use Neovim: Cody. First-class Neovim extension. Amazon Q has no Neovim support.
- If budget is tight: Cody. Both have strong free tiers, but Cody Pro at $9/mo is nearly half the price of Amazon Q Pro at $19/mo. And Cody’s free tier includes Claude Sonnet.
Yes, and it is a surprisingly strong combination. Both are IDE extensions — they coexist in VS Code or JetBrains without conflict. Use Cody for its code graph intelligence when navigating large codebases, cross-repo search, and model choice. Use Amazon Q for its free security scanning and AWS-specific assistance when working on cloud infrastructure. The free security scanning in Amazon Q is worth installing even if Cody is your primary AI assistant. They complement each other: Cody understands your codebase; Amazon Q understands your cloud.
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Data sourced from official pricing pages, March 2026. Open-source dataset at lunacompsia-oss/ai-coding-tools-pricing.