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buildspec/linuxTests.yml

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- VCS_COMMIT_ID="${CODEBUILD_RESOLVED_SOURCE_VERSION}"
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- CI_BUILD_URL=$(echo $CODEBUILD_BUILD_URL | sed 's/#/%23/g') # Encode `#` in the URL because otherwise the url is clipped in the Codecov.io site
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- CI_BUILD_ID="${CODEBUILD_BUILD_ID}"
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- test -n "${CODECOV_TOKEN}" && [ "$TARGET_BRANCH" = "master" ] && ./codecov --token=${CODECOV_TOKEN} --branch=${CODEBUILD_RESOLVED_SOURCE_VERSION} --repository=${CODEBUILD_SOURCE_REPO_URL} --file=./coverage/amazonq/lcov.info --file=./coverage/toolkit/lcov.info
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- test -n "${CODECOV_TOKEN}" && [ "$TARGET_BRANCH" = "master" ] && ./codecov --token=${CODECOV_TOKEN} --branch=${CODEBUILD_RESOLVED_SOURCE_VERSION} --repository=${CODEBUILD_SOURCE_REPO_URL} --file=./coverage/amazonq/lcov.info --file=./coverage/toolkit/lcov.info || true
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reports:
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unit-test:

package-lock.json

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{
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"date": "2025-07-30",
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"version": "1.86.0",
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"entries": [
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{
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"type": "Bug Fix",
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"description": "Let Enter invoke auto completion more consistently"
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},
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{
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"type": "Bug Fix",
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"description": "Faster and more responsive inline completion UX"
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},
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{
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"type": "Bug Fix",
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"description": "Use documentChangeEvent as auto trigger condition"
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}
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]
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}
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{
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"date": "2025-07-31",
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"version": "1.87.0",
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"entries": []
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}

packages/amazonq/.changes/next-release/Bug Fix-316fb610-0ea9-40d1-bdb7-d371a6be4a4e.json

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packages/amazonq/.changes/next-release/Bug Fix-7261a487-e80a-440f-b311-2688e256a886.json

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packages/amazonq/.changes/next-release/Bug Fix-9d694e40-7fc7-4504-b08c-6b22a5ebcb1c.json

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{
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"type": "Feature",
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"description": "/transform: Show transformation history in Transformation Hub and allow users to resume jobs"
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}

packages/amazonq/CHANGELOG.md

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## 1.87.0 2025-07-31
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- Miscellaneous non-user-facing changes
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## 1.86.0 2025-07-30
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- **Bug Fix** Let Enter invoke auto completion more consistently
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- **Bug Fix** Faster and more responsive inline completion UX
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- **Bug Fix** Use documentChangeEvent as auto trigger condition
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## 1.85.0 2025-07-19
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- Miscellaneous non-user-facing changes

packages/amazonq/README.md

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[![Youtube Channel Views](https://img.shields.io/youtube/channel/views/UCd6MoB9NC6uYN2grvUNT-Zg?style=flat-square&logo=youtube&label=Youtube)](https://www.youtube.com/@amazonwebservices)
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![Marketplace Installs](https://img.shields.io/vscode-marketplace/i/AmazonWebServices.amazon-q-vscode.svg?label=Installs&style=flat-square)
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# Agent capabilities
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# Agentic coding experience
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Amazon Q Developer uses information across native and MCP server-based tools to intelligently perform actions beyond code suggestions, such as reading files, generating code diffs, and running commands based on your natural language instruction. Simply type your prompt in your preferred language and Q Developer will provide continuous status updates and iteratively apply changes based on your feedback, helping you accomplish tasks faster.
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### Implement new features
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`/dev` to task Amazon Q with generating new code across your entire project and implement features.
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Generate new code across your entire project and implement features.
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### Generate documentation
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`/doc` to task Amazon Q with writing API, technical design, and onboarding documentation.
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Write API, technical design, and onboarding documentation.
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### Automate code reviews
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`/review` to ask Amazon Q to perform code reviews, flagging suspicious code patterns and assessing deployment risk.
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Perform code reviews, flagging suspicious code patterns and assessing deployment risk.
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### Generate unit tests
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`/test` to ask Amazon Q to generate unit tests and add them to your project, helping you improve code quality, fast.
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### Transform workloads
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`/transform` to upgrade your Java applications in minutes, not weeks.
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Generate unit tests and add them to your project, helping you improve code quality, fast.
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<br>
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# Core features
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### Inline chat
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Seamlessly initiate chat within the inline coding experience. Select a section of code that you need assistance with and initiate chat within the editor to request actions such as "Optimize this code", "Add comments", or "Write tests".
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### Chat
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### MCP support
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Generate code, explain code, and get answers about software development.
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Add Model Context Protocol (MCP) servers to give Amazon Q Developer access to important context.
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### Inline suggestions
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Receive real-time code suggestions ranging from snippets to full functions based on your comments and existing code.
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[_15+ languages supported including Python, TypeScript, Rust, Terraform, AWS Cloudformation, and more_](https://docs.aws.amazon.com/amazonq/latest/qdeveloper-ug/q-language-ide-support.html)
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### Code reference log
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### Inline chat
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Seamlessly chat within the inline coding experience. Select a section of code that you need assistance with and initiate chat within the editor to request actions such as "Optimize this code", "Add comments", or "Write tests".
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Attribute code from Amazon Q that is similar to training data. When code suggestions similar to training data are accepted, they will be added to the code reference log.
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### Chat
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Generate code, explain code, and get answers about software development.
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<br>
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**Pro Tier** - if your organization is on the Amazon Q Developer Pro tier, log in with single sign-on.
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![Authentication gif](https://raw.githubusercontent.com/aws/aws-toolkit-vscode/HEAD/docs/marketplace/vscode/amazonq/auth-Q.gif)
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# Troubleshooting & feedback
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[File a bug](https://github.com/aws/aws-toolkit-vscode/issues/new?assignees=&labels=bug&projects=&template=bug_report.md) or [submit a feature request](https://github.com/aws/aws-toolkit-vscode/issues/new?assignees=&labels=feature-request&projects=&template=feature_request.md) on our Github repository.

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