Tool Introduction

Amazon Q Developer comes from Amazon Web Services, the cloud-computing subsidiary of Amazon.com, and is the direct successor to Amazon CodeWhisperer. AWS introduced the Amazon Q brand at re:Invent in late November 2023, then announced Amazon Q Developer as generally available on April 30, 2024, folding CodeWhisperer's code-generation capability into it under the new name.

The service is built on Amazon Bedrock, AWS's managed foundation-model platform. No individual founder is named: it is an AWS-developed and AWS-branded service rather than an independent startup.

Demo Available?

No official demo or Pro trial is offered; buyers can only try the service through the perpetual Free tier's capped 50 agentic requests per month.

Tool's Accuracy

Amazon Q Developer's core job is agentic and inline AI assistance for software engineering, where a correct result means a patch that resolves the target task or a suggestion the developer keeps unmodified.

SWE-Bench Verified: the updated agent announced April 21, 2025 scores 66%, placing it among the top ranking models.
SWT-Bench Verified: the same agent reaches 49%, described as state-of-the-art performance.
Code-acceptance rates: BT Group reported 37% and National Australia Bank reported 50% (60% after customization to its internal codebase), against an AWS-stated roughly 33% typical industry baseline.

Earlier agent versions reported 38.8% on SWE-Bench Verified and 19.75% on the full SWE-Bench dataset; only the 66% and 49% figures represent the current-labeled agent.

Aggregate Rating

4.2/5 stars (based on 91+ verified reviews across the internet)

Detailed Overview

What Amazon Q Developer Does

Amazon Q Developer helps engineers ship code faster by suggesting completions inline, answering questions in chat, and autonomously implementing multi-file features, tests, and documentation from natural-language prompts. It reviews code for logical errors, anti-patterns, duplication, and security vulnerabilities such as exposed credentials, and runs transformation agents that upgrade Java versions, convert Oracle SQL to PostgreSQL, and modernize .NET applications.

Who Amazon Q Developer Is For

The service fits individual developers who want AI assistance without an AWS account, signing in with an AWS Builder ID, as well as enterprise engineering organizations managing hundreds of engineers through AWS Identity and Access Management (IAM) Identity Center. Teams facing large legacy-code modernization, heavy manual migration work, or slow unit-test creation are the situations AWS's customers describe most often.

Top Differentiators

Native ties to AWS workflows set the service apart: it visualizes cost and resource data as generative artifacts, runs network-reachability diagnostics, and answers architecture questions inside the AWS Console. Dedicated agents handle large-scale legacy transformation with a pooled quota of 4,000 lines per month for Pro users, and the command line offers a choice of current Claude models at no extra cost.

Founding Year

1994

Target Industry

B2B, Enterprise, SMB, Mid-Market, Consulting, Financial Services, Healthcare, Insurance, Telecom, Enterprise Software, Logistics, SaaS

Available Integrations

GitLab Duo with Amazon Q: generally available in GitLab 17.11 Self-Managed for Ultimate-tier subscribers, wiring Amazon Q into issues, merge requests, and a Duo Chat surface.
GitHub: a preview GitHub Marketplace app letting maintainers label issues so a development agent drafts pull requests, usable free but capped at limited monthly invocations.
IDE plugins: the core workflow surface across VS Code, JetBrains, Visual Studio 2022, and Eclipse, with the Eclipse build marked preview.
Amazon Q Developer CLI: adds AI-powered autocomplete for hundreds of command-line tools, including git, npm, docker, and the aws CLI, plus interactive terminal chat.
Slack and Microsoft Teams: wired through AWS Chatbot to query and troubleshoot AWS resources, but restricted to the Free tier regardless of the account's subscription.
AWS Management Console plugins: Datadog, Wiz, and CloudZero surface alongside Amazon Q for observability, security visibility, and cloud-cost analysis.
Project rules: GitHub and GitLab integrations read team coding standards stored as Markdown under .amazonq/rules, auto-injected as context for every interaction.

Free tier

$0/month, a perpetual non-expiring tier rather than a time-limited trial. It includes 50 agentic requests per month (Q&A chat and agentic coding combined), language transformation capped at 1,000 lines of code per month, IDE plugins for VS Code, JetBrains, Visual Studio, and Eclipse, CLI access, reference tracking for code suggestions, an opt-out option for data collection (collection is on by default unless the user opts out), and suppression of suggestions that match public code. The Free tier does not include the admin dashboard or IP indemnity.

Pro tier

$19/mo per user, billed monthly, pro-rated for the first partial month, with a full month charged if a subscription is canceled mid-cycle. Pro includes 10,000 inference calls per month (approximately 1,000 user requests) for agentic features, language transformation expanded to 4,000 lines of code per month per user pooled at the account level, with overage priced at $0.003 per line beyond the pooled allocation. Pro adds the admin dashboard with user and policy management, IAM Identity Center and single sign-on (SSO) support, IP indemnity, and automatic opt-out of data collection.

Both tiers share reference tracking, public-code suggestion suppression, and general Q&A and error diagnosis inside the AWS Management Console. No enterprise, custom, or add-on plans are listed beyond Free and Pro.

Pricing last verified: 07/04/2026
Disclaimer: Pricing is subject to change. Please confirm current pricing on the vendor site.

Features & Specs

Plans: Free tier at $0/month and Pro at $19/user/month.
Agentic requests: 50 per month on Free; roughly 10,000 inference calls (about 1,000 user inputs) per month on Pro.
Code transformation: 1,000 lines per month on Free; 4,000 lines per month pooled at the account level on Pro, with overage at $0.003 per line.
Languages: over 25 programming languages for code, plus conversational support in English, Mandarin, French, German, Italian, Japanese, Spanish, Korean, Hindi, and Portuguese.
Models: built on Amazon Bedrock; the CLI supports Claude Sonnet 4, Claude 3.7 Sonnet, and Claude 3.5 Sonnet, selectable via /model at no extra cost.
Model Context Protocol (MCP): local and remote servers supported in the CLI and the VS Code and JetBrains plugins, with organization-level admin controls.
IDEs: Visual Studio Code, JetBrains, Visual Studio, and Eclipse (preview).
.NET transformation quotas: 1,000,000 lines per month on Pro and 1,000 lines per month on the free BuilderID, with 10 concurrent jobs on Pro.
Console quotas: 1,000 Generative SQL queries per month and 20 network-reachability-analysis requests per day.
Compliance: included in AWS's SOC 1, SOC 2, and SOC 3 reports, available via AWS Artifact.

Security & Compliance

Content sent between the IDE or CLI and the service is encrypted in transit using Transport Layer Security (TLS), with AWS recommending TLS 1.2 or later, and is stored with encryption at rest and strict access controls.

Certifications: Amazon Q Developer is included in AWS's latest SOC 1, SOC 2, and SOC 3 reports, downloadable via AWS Artifact in the AWS Management Console.
Health data: the service is not designed to transmit, store, or process electronic protected health information (ePHI), and is not positioned as HIPAA-eligible for PHI workloads.
Training data: on the Free tier, content may be used to improve the underlying models unless the user opts out; Pro subscriptions are automatically opted out.
Identity and access: managed through AWS Identity and Access Management (IAM), with enterprise Pro deployments administered through AWS IAM Identity Center, which supports System for Cross-domain Identity Management (SCIM) v2.0 provisioning and Security Assertion Markup Language (SAML) single sign-on.
Additional protections: Pro subscribers receive IP indemnity, and AWS recommends multi-factor authentication, CloudTrail logging, and Federal Information Processing Standard (FIPS) 140-2 validated cryptographic endpoints for CLI and API access.

Industry Use-Cases

Java modernization at Novacomp

Facing a Java project exceeding 10,000 lines, Novacomp used the upgrade agent to finish the work in 50 minutes against an estimated three weeks of manual effort, per AWS's published case studies. Technical debt across the engagement fell by 60% on average.

Legacy overhaul at Altisource

Altisource modernized 350,000 lines of legacy Java code and shipped four new applications within four months. Developer productivity rose 25% over the engagement.

AI-authored code at Availity

Engineers at Availity generated 33% of all their code with the tool while keeping a 31% suggestion-acceptance rate. That workflow produced 19,500 lines of AI-generated code.

Team productivity at Boomi

Boomi applied Amazon Q Developer across its engineering teams and lifted overall productivity by 20%.

Production code at National Australia Bank

At National Australia Bank, developers accepted 50% of code suggestions, a rate that climbed over time. AI-generated suggestions grew to account for 40% of production code, alongside an 18% productivity boost.

Development speed at nnamu

nnamu cut development time by 30% while accepting 33% of suggestions. The assistant ended up authoring 46% of nnamu's code.

Migration acceleration at Persistent Systems

A Java 8-to-17 migration that Persistent Systems expected to take 24 hours finished in 4 hours, an 83% productivity gain.

Large-scale transformation at Coupang

A five-person team at Coupang transformed more than 70 Java applications in two months, compressing the timeline by 90% versus traditional approaches.

Tool's Alternatives

GitHub Copilot is the closest peer in scale, spanning VS Code, Visual Studio, JetBrains, Neovim, Eclipse, GitHub.com, GitHub Mobile, and GitHub CLI, and letting users pick across leading large language models optimized for speed, accuracy, or cost. Its free tier is hard-capped, with agent mode, cloud agents, and premium models reserved for paid tiers. Its differentiator is native depth in the GitHub product itself, treating Issues, Actions, PR review, and CLI as one continuous surface.

Gemini Code Assist follows the same big-cloud playbook, embedding Google's foundation model into IDEs and Google Cloud consoles while citing sources for its answers. Its limitation is that the individual-tier editions were deprecated as of June 18, 2026, leaving self-serve access at the org-level Standard and Enterprise editions. Its differentiator is Enterprise-edition ties into Apigee and Application Integration plus code customization from a customer's own private repositories.

Cursor is a standalone AI-native editor built around whole-codebase semantic indexing and autonomous cloud agents that build, test, and demo a feature end to end. Because the primary experience is a separate editor rather than a plugin, adopting it carries a higher switching cost for teams standardized on another IDE. Its differentiator is a dial of autonomy from Tab-style completions to schedulable Automations for recurring maintenance.

Tabnine targets regulated or air-gapped environments, deploying as SaaS, on-premises, or fully air-gapped with zero data retention in cloud mode. Its limitation is a narrower named-IDE footprint of JetBrains, VS Code, and PHPStorm. Its differentiator is IP-provenance and attribution tooling aimed at reducing code-license liability, alongside recognition as a 2025 Gartner Magic Quadrant Visionary for AI Code Assistants.

Frequently Asked Questions

What does the Amazon Q Developer Free tier include?

The Free tier costs $0/month and includes 50 agentic requests per month, 1,000 lines of code monthly for language transformation, IDE plugins, CLI access, and reference tracking, with no AWS account required.

How much does Amazon Q Developer Pro cost?

Pro is $19/mo per user, billed monthly, adding roughly 10,000 inference calls per month, 4,000 pooled transformation lines, an admin dashboard, IP indemnity, and automatic opt-out of data collection.

Which AI models does Amazon Q Developer use?

It is built on Amazon Bedrock, and the command line supports Claude Sonnet 4, Claude 3.7 Sonnet, and Claude 3.5 Sonnet, selectable via a /model command at no extra cost.

How many programming languages does it support?

Amazon Q Developer supports over 25 programming languages, including Java, Python, JavaScript, TypeScript, C#, Go, and Rust, plus conversational support in ten spoken languages such as English, Japanese, and Spanish.

Is Amazon Q Developer HIPAA-eligible for health data?

No. AWS states the service is not designed to transmit, store, or process electronic protected health information (ePHI), and customers are responsible for never using it with ePHI.

What was Amazon Q Developer previously called?

It is the successor to Amazon CodeWhisperer, whose code-generation capability was folded into Amazon Q Developer when the service reached general availability on April 30, 2024.

Does Amazon Q Developer support MCP servers?

Yes. Model Context Protocol (MCP) servers, both local and remote, are supported in the CLI and the VS Code and JetBrains plugins, with organization-level admin controls over allowed servers.

What compliance reports cover Amazon Q Developer?

Amazon Q Developer is included in AWS's latest SOC 1, SOC 2, and SOC 3 reports, which are downloadable through AWS Artifact in the AWS Management Console.

Amazon Q Developer

The most capable generative AI-powered assistant for software development.