Head-to-head · AI coding assistants · facts checked 14 Sept 2026
AWS vs JetBrains
JetBrains scores 7.1 to AWS's 6.5 among the AI coding assistants we rate, and is the better pick for 2 of the 4 kinds of buyer below.
From
$10/mo (AI Pro)
Free plan
Yes — free tier with limited AI credits and unlimited local code completion
The verdict
JetBrains wins, 7.1 to 6.5
AWS uniquely has 9 features · JetBrains uniquely has 1 feature.
Best for
Who each one suits, decided on the criteria that matter to that buyer and the checked facts where the two differ.
Developers on large codebases
AWS
AWS 10.0 · JetBrains 5.5 on agents and your codebase
- Understands your whole codebase: AWS yes, JetBrains no
- Reviews pull requests: AWS yes, JetBrains no
Developers paying their own way
JetBrains
AWS 8.9 · JetBrains 10.0 on pricing
- Monthly price, cheapest paid plan: $10 against $19
Teams that pick their own models
JetBrains
AWS 1.5 · JetBrains 9.5 on model freedom
- Bring your own API key: JetBrains yes, AWS no
- Runs models on your own machine: JetBrains yes, AWS no
- AI model families you can choose: Claude, gpt, gemini, grok against Claude
Companies strict about code privacy
AWS
AWS 5.6 · JetBrains 5.1 on privacy and security and where it works
- Legal cover for generated code: AWS yes, JetBrains no
- Editors and terminals it works in: Vscode, jetbrains, visual_studio, cli against Cli, jetbrains
- SOC 2: AWS yes, JetBrains does not say
- But JetBrains leads on runs on your own servers or cloud: JetBrains yes, AWS no
Section 01
How they score
Both are scored the same way, against the other AI coding assistants we rate, from facts on each vendor's own pages. JetBrains leads on 3 of 5 criteria.
Agents and your codebase25% of the score
AWS10.0
JetBrains5.5
Pricing20% of the score
AWS8.9
JetBrains10.0
Model freedom20% of the score
AWS1.5
JetBrains9.5
Privacy and security20% of the score
AWS4.5
JetBrains6.0
Where it works15% of the score
AWS7.0
JetBrains4.0
Section 02
Where they differ
Every point where the two vendors' published facts disagree, with a link to where each fact was read. "Not published" means the vendor does not say either way.
AI model families you can choose
JetBrains
Published by only one of them
SOC 2
JetBrains
Not published
Where they match (5)
Section 03
Pricing, plan by plan
Every plan each vendor publishes, monthly and yearly where both are offered.
AWS
Free Tier
Free
Limited agentic requests per month, access latest Claude models, use in IDE or CLI
Pro Tier
$19/mo
Increased limits of agentic requests, Java and .NET app transformation, identity center support, IP indemnity
JetBrains
All Product Packs
$29.90/mo · $299/yr
Best offer, Includes 10 IDEs, Air, 3 extensions, 2 profilers, and JetBrains AI Pro, First year: US $299.00, Second year: US $239.00, Third year onwards: US $179.00
Intel IDEA Ultimate
$19.90/mo · $199/yr
Professional IDE for Java and Kotlin development, JetBrains AI Free included, First year: US $199.00, Second year: US $159.00, Third year onwards: US $119.00
dotUltimate
$21.90/mo · $219/yr
Developer toolkit for .NET and game development, JetBrains AI Pro included, First year: US $219.00, Second year: US $175.00, Third year onwards: US $131.00
Section 04
Pros and cons
From each tool's full review, written from the same checked facts.
AWS
Pros
- Amazon Q Developer integrates directly into popular IDEs like VS Code and JetBrains, as well as the CLI and AWS Management Console, making it accessible in existing workflows.
- Offers a broad feature set including inline multi-line code suggestions, natural language code generation, test writing, debugging, and security scanning with automated fix suggestions.
- Security scanning is baked natively into the developer workflow rather than being a separate bolt-on tool.
- Refactoring and application modernization capabilities help differentiate Q Developer from many competing AI coding assistants.
- Amazon Q is positioned as a platform with multiple specialized products, including solutions for BI (QuickSight), contact centers (Connect), and enterprise knowledge management.
- Amazon Q Business acts as an AI-powered internal search layer, connecting to company data sources to answer employee questions and surface internal documents.
- Amazon claims industry-leading code suggestion acceptance rates, suggesting strong practical relevance of its completions.
Cons
- Amazon Q is not a single product but a fragmented family of tools, making it genuinely confusing for buyers to understand what they are actually purchasing.
- The pitch and feature set vary significantly across different product pages, creating a navigation nightmare for users who arrive without a clear use case in mind.
- The platform-first positioning means it may feel like overkill or a poor fit for teams looking for a simple, focused point tool.
- Amazon's claim of highest code suggestion acceptance rates is repeated frequently enough to warrant skepticism without independent verification.
- The review is based entirely on vendor documentation and pricing pages — no hands-on testing was conducted, limiting the depth of practical assessment.
- Users searching for an AWS AI coding assistant may be confused by the breadth of Q products before landing on the relevant Developer product.
JetBrains
Pros
- Deep IDE integration means no context-switching — the AI layer sits directly inside IntelliJ, PyCharm, WebStorm, and other JetBrains tools developers already use daily.
- Multi-model backend pulls from GPT-4, Claude, and Google Gemini/Codey, so teams aren't locked into a single vendor's approach to code generation.
- Codebase-aware autocomplete leverages decades of JetBrains static analysis investment, though broader project context has to be attached manually rather than indexed automatically.
- The AI Agent Communication Protocol (ACP) allows 25+ third-party agents to plug into JetBrains workflows, offering unusual openness for an IDE-native AI tool.
- Cross-editor support is beginning to emerge, including compatibility with the Zed editor, expanding reach beyond JetBrains' own ecosystem.
- Arrives to an established user base of tens of millions of professional developers, meaning adoption friction is minimal for existing JetBrains customers.
- Enterprise teams benefit from model flexibility and agent extensibility in ways that few competing IDE-native AI tools currently offer.
Cons
- The AI Assistant is an add-on to an existing ecosystem, making it a poor fit for developers who don't already use JetBrains IDEs.
- The tool hasn't been independently tested hands-on by this reviewer, so findings rely entirely on vendor documentation and public pricing.
- Solo developers may find the multi-model flexibility and ACP protocol overkill compared to simpler, more focused AI coding tools.
- Being positioned as an ecosystem deepener rather than a standalone product means the value proposition collapses if you leave the JetBrains suite.
- The generic marketing language around features like 'AI-powered code completion' undersells what the tool actually does, making it harder to evaluate before trying.
- Dependency on multiple third-party model providers (OpenAI, Anthropic, Google) introduces potential inconsistency and vendor risk over time.
Section 05
AWS vs JetBrains: common questions
Which is better, AWS or JetBrains?
JetBrains scores 7.1 and AWS 6.5 out of 10 among the AI coding assistants we rate. JetBrains is ahead on pricing, model freedom and privacy and security. AWS is ahead on agents and your codebase and where it works.
Is AWS or JetBrains cheaper?
AWS's cheapest paid plan is $0/mo and JetBrains's is $10/mo (AI Pro). Compare what each plan includes below before going on price alone.
Do AWS and JetBrains have a free plan?
Yes, both do.
What can AWS do that JetBrains cannot?
On the facts both vendors publish: understands your whole codebase, reviews pull requests and legal cover for generated code.
What can JetBrains do that AWS cannot?
On the facts both vendors publish: bring your own API key, runs models on your own machine and runs on your own servers or cloud.
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