Amazon Q Developer
AWS's AI coding assistant that actually understands your cloud infrastructure
Visit Amazon Q Developer open_in_newFree tier available
Sourcegraph Cody
Enterprise-grade AI coding assistant that actually understands your entire codebase, not just the file you're in
Visit Sourcegraph Cody arrow_forwardFree forever plan available
TL;DR
Neither tool has enough public review data to crown a data-backed winner, so the real decision comes down to where your codebase already lives. If you're deep in AWS infrastructure, Amazon Q Developer's integration with that ecosystem is the deciding factor. If you need AI that understands a sprawling, multi-repo codebase outside of AWS, Sourcegraph Cody's indexing approach is built for that job specifically.
Built for teams already committed to AWS — the pitch is cloud-native assistance, not general-purpose coding help.
Built for teams with large, multi-repo codebases who need an assistant that can search and reason across all of it, not just the open file.
Amazon Q Developer
thumb_up Pros
- addDeep AWS integration — relevant if your infrastructure, deployments, and services already run on AWS
- addSecurity scanning built into the tool, not a bolt-on
- addCode transformation features, useful for migrations or upgrades
- addCLI and IDE support means it's not locked to one editor
thumb_down Cons
- removeNo free tier — $19/mo minimum just to try it
- removeZero G2 reviews available, so there's no independent verification of real-world performance
- removePricing details beyond the $19/mo starting point aren't published in available research
Sourcegraph Cody
thumb_up Pros
- addFull codebase indexing — built for understanding context across an entire repo, not just open files
- addSemantic code search, a genuinely different approach from autocomplete-style tools
- addMulti-repo awareness, relevant for teams with microservices or split codebases
- addStarts at $9/mo, less than half the entry price of Amazon Q Developer
thumb_down Cons
- removeNo free tier, despite the lower starting price
- removeZero G2 reviews available — same blind spot as Amazon Q Developer
- removeNo AWS-specific integration, so teams on that cloud lose a layer of native tooling
table_chartFeature Breakdown
| Feature | Amazon Q Developer | Sourcegraph Cody |
|---|---|---|
| Starting Price | Free Plan | Free Plan |
| Free Tier | check | check |
| G2 Rating | star4.5/5 | star4.2/5 |
| Best For | Built for teams already committed to AWS — the pitch is cloud-native assistance, not general-purpose coding help | Built for teams with large, multi-repo codebases who need an assistant that can search and reason across all of it, not just the open file |
| AI Models | Proprietary | Proprietary |
| Output Limits | Varies by plan | Varies by plan |
| Team Collaboration | check | check |
| API Access | check | check |
| Browser Extension | close | close |
| Integrations | 50+ apps | 50+ apps |
| Support | Email, Chat | Email, Chat |
radarHead-to-Head Breakdown
See how Amazon Q Developer and Sourcegraph Cody compare across 6 key dimensions
Deep Dive Analysis
paymentsPricing & Value
Is the premium price tag worth it?
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Pricing & Value
Is the premium price tag worth it?
Amazon Q Developer starts at $19/mo. Sourcegraph Cody starts at $9/mo — less than half. Neither tool offers a free tier, so there's no way to test-drive either before committing. Beyond the entry price, no detailed tier breakdown or feature-gating information is available in current research, so verify exact inclusions on each vendor's pricing page before buying.
psychologyOutput Quality
Which AI produces better results?
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Output Quality
Which AI produces better results?
No hands-on test data or benchmark results are available for either tool. What's documented is feature scope: Amazon Q Developer lists code transformation and security scanning as named capabilities, while Sourcegraph Cody lists semantic code search and full codebase indexing. These point to different jobs — Amazon Q Developer leans toward writing and fixing code, Sourcegraph Cody leans toward understanding and navigating it — but neither claim has been independently verified in the available research.
touch_appEase of Use
Learning curve and user experience
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Ease of Use
Learning curve and user experience
Both tools support CLI and IDE workflows based on listed features, but no specific setup friction, onboarding time, or UX comparison data is available. Amazon Q Developer's AWS integration likely means more setup if you're not already in that ecosystem. Sourcegraph Cody's codebase indexing step is a known requirement for full-repo awareness, but no indexing time or process details are documented here.
integration_instructionsIntegrations & Ecosystem
How they fit into your stack
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Integrations & Ecosystem
How they fit into your stack
Amazon Q Developer's named integration is AWS itself — a broad but single-vendor ecosystem. Sourcegraph Cody's key feature is multi-repo awareness, implying support for distributed codebases, but no specific list of supported platforms, IDEs, or version control systems is available in current research. Check both vendors' documentation directly for a current integration list.
support_agentCustomer Support
Help when you need it
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Customer Support
Help when you need it
No support tier details, SLAs, or response-time data are available for either tool in current research. With zero G2 reviews for both products, there's also no public user feedback on support quality to draw from. This is a gap buyers should fill by asking sales directly before signing an annual contract.
categoryWho Wins For What?
Sourcegraph Cody's multi-repo awareness and full codebase indexing target teams managing more than one repository — a common state for professional engineering orgs.
At $9/mo versus $19/mo, Sourcegraph Cody is the lower-cost entry point, though neither offers a free tier to test first.
Amazon Q Developer's built-in security scanning and AWS-native integration fit enterprises already running compliance-heavy workloads on AWS infrastructure.
Lower starting price and codebase-wide context matter more to a solo builder juggling multiple small repos than deep AWS tooling they may not use yet.
check_circle Choose Amazon Q Developer if...
- checkYour infrastructure already runs on AWS and you want an assistant that speaks that language natively, not a generic tool bolted onto your stack
- checkYou need security scanning baked into your coding workflow instead of a separate tool you have to remember to run
- checkYou're doing code transformation work — migrations, upgrades, language ports — where that's a named feature, not an afterthought
check_circle Choose Sourcegraph Cody if...
- checkYour codebase spans multiple repositories and you're tired of an assistant that only understands the file you have open
- checkYou want semantic search across your entire codebase, not keyword matching dressed up as AI
- checkYou're budget-conscious and want the lower $9/mo entry point, as long as you're comfortable skipping a free trial
Pick Based on Your Stack, Not the Marketing
Amazon Q Developer's entire value proposition is the AWS integration — if you're not on AWS, you're paying $19/mo for a coding assistant that could lose its best feature. Sourcegraph Cody's codebase indexing and multi-repo awareness solve a real problem for teams with large, fragmented codebases, at a lower starting price. Without independent review data or test results for either tool, the honest answer is: match the tool to your infrastructure, not to a star rating that doesn't exist yet.
How We Compare
This comparison uses current product information, pricing pages, and listed features for Amazon Q Developer and Sourcegraph Cody. Both tools currently show 0 G2 reviews and no published hands-on test data, which is noted throughout rather than papered over. No recent news, market context, or changelog data was available for either product at the time of writing — verify current pricing and features directly with each vendor before purchasing.
Frequently Asked Questions
Is Amazon Q Developer worth the extra cost over Sourcegraph Cody?
No independent review data exists yet to confirm this either way. The $10/mo price gap ($19 vs $9) is justified on paper by AWS-native integration and security scanning — valuable if you're on AWS, irrelevant if you're not.
Which is better for large, multi-repo codebases?
Sourcegraph Cody lists full codebase indexing and multi-repo awareness as named features, making it the documented fit for this use case. Amazon Q Developer's feature list doesn't mention multi-repo capability.
Does either tool have a free trial?
No. Neither Amazon Q Developer nor Sourcegraph Cody offers a free tier as of current research, so there's no way to test either before paying.
Which tool has better user reviews?
Neither — both show 0 G2 reviews and N/A ratings. There's currently no independent review signal to compare.
Do I need AWS to use Amazon Q Developer?
The tool's core selling point is deep AWS integration, so while it may function outside AWS, you'd be paying $19/mo without using its named differentiator.

