Creating a project - Amazon CodeCatalyst
Creating an empty projectCreating a project with a linked third-party repositoryCreating a project with a blueprintBest practices when using Amazon Q to create projects or add functionality with blueprintsBest practices for using blueprints with projectsAdding resources and tasks to created projects

Creating a project

With CodeCatalyst projects, you can conduct development tasks with shared continuous integration/continuous delivery (CI/CD) workflows and repositories, manage resources, track issues, and add users.

Before you create a project, you must have the Space administrator or Power user role.

Creating an empty project in Amazon CodeCatalyst

You can create an empty project with no resources and manually add the resources you want at a later time.

Before you create a project, you must have the Space administrator or Power user role.

To create an empty project

  1. Navigate to the space where you want to create a project.

  2. On the space dashboard, choose Create project.

  3. Choose Start from scratch.

  4. Under Give a name to your project, enter the name that you want to assign to your project. The name must be unique within your space.

  5. Choose Create project.

Creating a project with a linked third-party repository

You can keep your project's source code in a preferred third-party provider and still use all the CodeCatalyst features such as blueprints, lifecycle management, workflows, and more. To do this, you can create a new CodeCatalyst project that links to a GitHub repository, Bitbucket repository, or a GitLab project repository. You can then use your linked source repository in your CodeCatalyst project.

Before you create a CodeCatalyst project, you must have the Space administrator or Power user role. For more information, see Creating a space and Inviting a user directly to a space .

To create a project in CodeCatalyst that links to a source repository in your GitHub account, you'll need to complete the following three tasks:

  1. Install the GitHub repositories, Bitbucket repositories, or GitLab repositories extension. You're prompted in an external site to connect and provide CodeCatalyst with access to your repository, which is done as part of the next step.

    Important

    To install the GitHub repositories, Bitbucket repositories, or GitLab repositories extension to your CodeCatalyst space, you must be signed in with an account that has the Space administrator role in the space.

  2. Connect your GitHub account or Bitbucket workspace, or GitLab user to CodeCatalyst.

    Important

    To connect your GitHub account, Bitbucket workspace, GitLab user to your CodeCatalyst space, you must be both the third-party source's administrator and the CodeCatalyst Space administrator.

    Important

    After you install a repository extension, any repositories you link to CodeCatalyst will have their code indexed and stored in CodeCatalyst. This will make the code searchable in CodeCatalyst. To better understand the data protection for your code when using linked repositories in CodeCatalyst, see Data protection in the Amazon CodeCatalyst User Guide.

  3. Create a CodeCatalyst project linked to your GitHub repository, Bitbucket repository, or GitLab project repository.

    Important

    While you can link a GitHub repository, Bitbucket repository, or GitLab project repository as a Contributor, you can only unlink a third-party repository as the Space administrator or the Project administrator. For more information, see Unlinking GitHub repositories, Bitbucket repositories, GitLab project repositories, and Jira projects in CodeCatalyst.

    Important

    CodeCatalyst doesn't support detecting changes in the default branch for linked repositories. To change the default branch for a linked repository, you must first unlink it from CodeCatalyst, change the default branch, and then link it again. For more information, see Linking GitHub repositories, Bitbucket repositories, GitLab project repositories, and Jira projects in CodeCatalyst.

    As a best practice, always make sure you have the latest version of the extension before you link a repository.

    Note

    • A GitHub repository, Bitbucket repository, or GitLab project repository can only be linked to one CodeCatalyst project in a space.

    • You can't use empty or archived GitHub repositories, Bitbucket repositories, or GitLab project repositories with CodeCatalyst projects.

    • You can't link a GitHub repository, Bitbucket repository, or GitLab project repository that has the same name as a repository in a CodeCatalyst project.

    • The GitHub repositories extension isn't compatible with GitHub Enterprise Server repositories.

    • The Bitbucket repositories extension isn't compatible with Bitbucket Data Center repositories.

    • The GitLab repositories extension isn't compatible with GitLab self-managed project repositories.

    • You can't use the Write description for me or Summarize comments features with linked repositories. These features are only available in pull requests in CodeCatalyst.

For more information, see Add functionality to projects with extensions in CodeCatalyst.

To install the third-party extension

  1. Navigate to the space where you want to create a project.

  2. On the space dashboard, choose Create project.

  3. Choose Bring your own code.

  4. Under Link existing repository, choose GitHub repositories, Bitbucket repositories, GitLab repositories depending on the third-party repository provider you want to use. You're prompted to connect your GitHub account, Bitbucket workspace, or GitLab account if you didn't do so previously. If the third-party extension of your choice isn't already installed, an install prompt displays.

  5. If prompted, choose Install. Review the permissions required by the extension, and if you want to continue, choose Install again.

After you install the third-party extension, the next step is to connect your GitHub account, Bitbucket workspace, or GitLab user to your CodeCatalyst space.

To connect your GitHub account, Bitbucket workspace, or GitLab user to CodeCatalyst

Do one of the following depending on the third-party extension you chose to configure:

  • GitHub repositories: Connect to a GitHub account.

    1. Choose Connect GitHub account to go to the external site for GitHub.

    2. Sign in to your GitHub account using your GitHub credentials, and then choose the account where you want to install Amazon CodeCatalyst.

      Tip

      If you have previously connected a GitHub account to the space, you will not be prompted to reauthorize. You will instead see a dialog box asking you where you would like to install the extension if you are a member or collaborator in more than one GitHub space, or the configuration page for the Amazon CodeCatalyst application if you only belong to one GitHub space. Configure the application for the repository access that you want to allow, and then choose Save. If the Save button is not active, make a change to the configuration, and then try again.

    3. Choose whether you want to allow CodeCatalyst to access all current and future repositories, or choose the specific GitHub repositories you want to use in CodeCatalyst. The default option is to include all GitHub repositories in the GitHub account, including future repositories that will be accessed by CodeCatalyst.

    4. Review the permissions given to CodeCatalyst, and then choose Install.

    After connecting your GitHub account to CodeCatalyst, you're taken to the GitHub repositories extension details page, where you can view and manage connected GitHub accounts and linked GitHub repositories.

  • Bitbucket repositories: Connect to a Bitbucket workspace.

    1. Choose Connect Bitbucket workspace to go to the external site for Bitbucket.

    2. Sign into your Bitbucket workspace using your Bitbucket credentials and review the permissions given to CodeCatalyst.

    3. From the Authorize for workspace dropdown menu, choose the Bitbucket workspace you want to provide CodeCatalyst access to, and then choose Grant access.

      Tip

      If you have previously connected a Bitbucket workspace to the space, you will not be prompted to reauthorize. You will instead see a dialog asking you where you would like to install the extension if you're a member or collaborator in more than one Bitbucket workspace, or the configuration page for the Amazon CodeCatalyst application if you only belong to one Bitbucket workspace. Configure the application for the workspace access you want to allow, and then choose Grant access. If the Grant access button is not active, make a change to the configuration, and then try again.

    After connecting your Bitbucket workspace to CodeCatalyst, you're taken to the Bitbucket repositories extension details page, where you can view and manage connected Bitbucket workspaces and linked Bitbucket repositories.

  • GitLab repositories: Connect to a GitLab user.

    1. Choose Connect GitLab user to go to the external site for GitLab.

    2. Sign in to your GitLab user using your GitLab credentials and review the permissions given to CodeCatalyst.

      Tip

      If you have previously connected a GitLab user to the space, you will not be prompted to reauthorize. You will instead be navigated back to the CodeCatalyst console.

    3. Choose Authorize AWS Connector for GitLab.

    After connecting your GitLab user to CodeCatalyst, you're taken to the GitLab repositories extension details page, where you can view and manage connected GitLab user and linked GitLab project repositories.

After connecting your third-party source to CodeCatalyst, you can link the third-party repositories to your CodeCatalyst projects.

To create your project

  1. On the Create project page, choose the GitHub account you connected.

  2. Depending on the third-party repository provider you connected, choose the GitHub repositories, Bitbucket repositories, or GitLab repositories repository dropdown menu to view the third-party repositories, and then choose the repository that you want to link to your project.

  3. In the Name your project text input field, enter the name that you want to assign to your project. The name must be unique within your space.

  4. Choose Create project.

After installing the GitHub repositories, Bitbucket repositories, or GitLab repositories extension, connecting your resource provider, and linking your third-party repository to your CodeCatalyst project, you can use it in CodeCatalyst workflows and Dev Environments. You can also create third-party repositories in the connected GitHub account, Bitbucket workspace, or GitLab user with code generated from a blueprint. You can also use the linked repositories with Amazon Q Developer, blueprints, and more. For more information, see Automatically starting a workflow run after third-party repository events and Creating a Dev Environment.

Creating a project with a blueprint

You can provision all of your project resources and sample code with a project blueprint. For information about blueprints, see the Creating a comprehensive project with CodeCatalyst blueprints.

To create a project with a blueprint

  1. In the CodeCatalyst console, navigate to the space where you want to create a project.

  2. On the space dashboard, choose Create project.

  3. Choose Start with a blueprint.

    Tip

    You can choose to add a blueprint by giving Amazon Q your project requirements to have Amazon Q suggest a blueprint to you. For more information, see Using Amazon Q to choose a blueprint when creating a project or adding functionality and Best practices when using Amazon Q to create projects or add functionality with blueprints. This feature is only available in the US West (Oregon) Region.

    This functionality requires that generative AI features are enabled for the space. For more information, see Managing generative AI features.

  4. From the CodeCatalyst blueprints or Space blueprints tab, choose a blueprint, and then choose Next.

  5. Under Name your project, enter the name that you want to assign to your project and its associated resource names. The name must be unique within your space.

  6. (Optional) By default, the source code created by the blueprint is stored in a CodeCatalyst repository. Alternatively, you can choose to store the blueprint's source code in a third-party repository. For more information, see Add functionality to projects with extensions in CodeCatalyst.

    Important

    CodeCatalyst doesn't support detecting changes in the default branch for linked repositories. To change the default branch for a linked repository, you must first unlink it from CodeCatalyst, change the default branch, and then link it again. For more information, see Linking GitHub repositories, Bitbucket repositories, GitLab project repositories, and Jira projects in CodeCatalyst.

    As a best practice, always make sure you have the latest version of the extension before you link a repository.

    Do one of the following depending on the third-party repository provider you want to use:

    • GitHub repositories: Connect a GitHub account.

      Choose the Advanced dropdown menu, choose GitHub as the repository provider, and then choose the GitHub account where you want to store the source code created by the blueprint.

      Note

      If you're connecting a GitHub account, you must create a personal connection to establish identity mapping between your CodeCatalyst identity and your GitHub identity. For more information, see Personal connections and Accessing GitHub resources with personal connections.

    • Bitbucket repositories: Connect a Bitbucket workspace.

      Choose the Advanced dropdown menu, choose Bitbucket as the repository provider, and then choose the Bitbucket workspace where you want to store the source code created by the blueprint.

    • GitLab repositories: Connect a GitLab user.

      Choose the Advanced dropdown menu, choose GitLab as the repository provider, and then choose the GitLab user where you want to store the source code created by the blueprint.

  7. Under Project resources, configure the blueprint parameters. Depending on the blueprint, you may have the option to name the source repository name.

  8. (Optional) To view definition files with updates based on the project parameter selections you made, choose View code or View workflow from Generate project preview.

  9. (Optional) Choose View details from the blueprint's card to view specific details about the blueprint, such as an overview of the blueprint's architecture, required connections and permissions, and the kind of resources the blueprint creates.

  10. Choose Create project.

Best practices when using Amazon Q to create projects or add functionality with blueprints

When you create a project or want to add new components to an existing project, you might be unsure about which blueprint to use or how to integrate capabilities. CodeCatalyst includes integration with a generative AI assistant called Amazon Q that can analyze your project requirements and suggest a blueprint that best fits your needs.

You can use Amazon Q to help you create a project with a blueprint that creates components based on your requirements, or you can use Amazon Q to help you add a blueprint to an existing project. For example, to add resources for a web application or modern application to a project, specify your requirements and then the resources will be added with a recommended blueprint. Issues for remaining components can be created for you.

Amazon Q also creates issues for requirements that can't be addressed by a suggested blueprint. Additionally, you can assign those issues to Amazon Q. If you assign the issue to Amazon Q, it will attempt to create a draft solution for you to evaluate. This can help you and your team to focus and optimize work on issues that require your attention, while Amazon Q works on a solution for problems you don't have resources to address immediately.

Note

Powered by Amazon Bedrock: AWS implements automated abuse detection. Because the Write description for me, Create content summary, Recommend tasks, Use Amazon Q to create or add features to a project, and Assign issues to Amazon Q feature with Amazon Q Developer Agent for software development features are built on Amazon Bedrock, users can take full advantage of the controls implemented in Amazon Bedrock to enforce safety, security, and the responsible use of artificial intelligence (AI).

The following are some best practices to help you create projects and add blueprints with Amazon Q.

Important

Generative AI features are only available in the US West (Oregon) Region.

  • Use the default prompts provided by Amazon Q . Amazon Q does best with choosing blueprints from the provided prompts.

  • Use the configuration options suggested by Amazon Q to preview the blueprints. Choose a blueprint to preview the sample code and resources that will be created by the blueprint.

  • Use a space that is enabled for Amazon Q . To create a project with Amazon Q, or to add functionality to a project with blueprints using Amazon Q, use a space that is enabled for generative AI features. For more information, see Enabling or disabling generative AI features for a space.

  • Get more information about blueprints recommended by Amazon Q. You might want to find out more about the kind of project resources, sample code, and components that are created with a specific recommended blueprint. For more information about available blueprints in CodeCatalyst, see Creating a comprehensive project with CodeCatalyst blueprints.

  • Allow Amazon Q to work with issues. Allow Amazon Q to create issues for you, assign those issues, and track them. For more information, see Tutorial: Using CodeCatalyst generative AI features to speed up your development work.

  • Unassign Amazon Q from issues that are no longer worked on. After you complete the example, unassign Amazon Q from any issues no longer being worked on. If Amazon Q has finished its work on an issue or could not find a solution, make sure to unassign Amazon Q to avoid reaching the maximum quota for generative AI features. For more information, see Managing generative AI features and Pricing.

  • View usage for Amazon Q. You can view usage of generative AI features at the user level. Go to My settings to manage generative AI quotas and view usage by your Builder ID or single sign-on (SSO) identity. For more information, see Viewing usage of generative AI features in a space.

Important

The generative AI features in CodeCatalyst are subject to quotas. For more information, see Amazon Q Developer Pricing, Enabling or disabling generative AI features for a space, and Billing.

Best practices for using blueprints with projects

The following are some best practices to help you create a project with blueprints or add blueprints.

  • Use blueprints provided by CodeCatalyst to create or add to projects. You can use blueprints to create a full project with source code and resources for developers. For example, the web application blueprint creates application and infrastructure resources and deploys a web application. You can create a project with a blueprint or add a custom blueprint to an existing project. For more information, see Creating a project with a blueprint. View any blueprint in CodeCatalyst to preview the sample code and resources that will be created by the blueprint.

  • Use custom blueprints designed by your organization. You can use custom blueprints to create a full project in your space. The custom blueprint designed by your organization can provide standardization and best practices, which can also help to cut down on efforts to set up a new project. As a custom blueprint author, you can view details about which projects are using your blueprint throughout your space. Lifecycle management allows you to centrally manage the software development lifecycle of every project, and blueprint users can utilize lifecycle management to regenerate a codebase from updated options or versions of a blueprint. For more information, see Working with lifecycle management as a blueprint author.

  • Add the developer role or appropriate IAM roles to the account for your project. During or after you complete the project creation steps, you can configure your blueprint permissions by choosing or creating IAM roles in an AWS account that is connected to the space.

Adding resources and tasks to created projects

After your project is ready, you can add resources and tasks.