1794 results found

1. Add support for local npm packages

   Change the behavior of dpeloy for functions so that if a local (file based) npm package is listed in the package dependencies, the package will be uploaded with the function.

   It is a major pain for local packages to not be supported in uploading cloud functions.

   4 votes

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   0 comments  ·  Cloud Functions for Firebase  ·  Delete…  ·  Admin →
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2. I have all Company's every car's i am Stunts

   I am every Car was stunted Es very professional types I am easy to Dance The Car SUV Sedan hatchback very professional types

   1 vote

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   1 comment  ·  Performance Monitoring  ·  Delete…  ·  Admin →
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3. Hamidghaseme1364@gmail.com
   2 votes

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   0 comments  ·  Cloud Storage for Firebase  ·  Delete…  ·  Admin →
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4. Alternative Approach for Node.js Prototyping

   You're correct that Prototyper is generally used for frontend and design work. It's not a tool that’s available directly in a Node.js environment, as it's more geared towards frontend prototyping and visualizing the application flow before integrating the backend. If you want to build prototypes with Node.js backend features (such as role management, authentication, etc.), you'll have to use a combination of tools for the rapid development and design of the backend and frontend.

   2 votes

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   0 comments  ·  Firebase Studio  ·  Delete…  ·  Admin →
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5. Plano Blaze

   Wow, I'm not able to create my Cloud Billing account 😔 I tried several ways, it just gives an error, I think I'll have to migrate to another database! It was so good when it was still possible to use the Storage without the Blaze Plan 🤦‍♂️, now I'm trying to hire the Blaze Plan and I'm not able to! Google makes it very difficult for its customers.

   3 votes

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   2 comments  ·  Cloud Storage for Firebase  ·  Delete…  ·  Admin →
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6. انهاء
   1 vote

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   0 comments  ·  Other  ·  Edit…  ·  Delete…  ·  Admin →
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7. Add Gemini 2.5 Pro in chat similar to Gemini Agent Mode in VS Code and Gemini CLI.

   In VS Code and Gemini CLi, after the user is authenticated, they can use Gemini 2.5 Pro in chat. Similar experience should be integrated into Chat Mode of Firebase Studio for individual users.

   1 vote

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   0 comments  ·  Gemini in Firebase  ·  Edit…  ·  Delete…  ·  Admin →
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8. Should be able to add todo, next coding task,

   Should be able to add todo, next coding task, next enhancement with out needing to wait for the coding to complete.

   1 vote

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   0 comments  ·  Firebase Studio  ·  Edit…  ·  Delete…  ·  Admin →
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9. Please change "Get Started" button to "Create Firebase Storage".

   Please do kindly consider changing the button name from "Get Started" more specifically to "Create Firebase Storage" within Firebase console. One gets the impression via "Get Started" that the user is in for marketing fluff than actual and crucial utility. Thank you.

   3 votes

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   0 comments  ·  Cloud Storage for Firebase  ·  Delete…  ·  Admin →
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10. Fastlane - Get automatically app key from google-services.json

    All Android application that included Firebase have mandatory this file : google-services.json

    When we want automatize delivery with fastlane on Firebase, we need to provide many informations on the lane such like "app", "servicecredentialsfile",...

    In fact, many Android projects has one or more build flavors and the delivery can be harder with the configuration on which target we want to deploy.

    We need to store many sensitive informations like key on the env file.
    We not push this file on the repository and it's not a good practice to have them has CI variables.

    The purpose of this feature request is to automatize the retrieve of app key from google-services.json.
    For this, we just need few informations on env / CI file :
    - location of google-services.json (that can be split in an other feature) *1;
    - package name declared on env / CI file.

    Only with your package name, you can retrieve (or not) your app key from google-services.json.
    This is a snippet of code for make this one :

    Parse the JSON content

    jsondata = JSON.parse(filecontent)

    Search for the appid corresponding to the packagename

    appid = ""
    jsondata["client"].each do |client|
    if client["clientinfo"]["androidclientinfo"]["package_name"] == targetpackagename
    appid = client["clientinfo"]["mobilesdkapp_id"]
    break
    end
    end

    All Android application that included Firebase have mandatory this file : google-services.json

    When we want automatize delivery with fastlane on Firebase, we need to provide many informations on the lane such like "app", "servicecredentialsfile",...

    In fact, many Android projects has one or more build flavors and the delivery can be harder with the configuration on which target we want to deploy.

    We need to store many sensitive informations like key on the env file.
    We not push this file on the repository and it's not a good practice to have them has CI variables.

    The purpose of this… more

    1 vote

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    0 comments  ·  App Distribution  ·  Edit…  ·  Delete…  ·  Admin →
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11. Storage Issue

    Please make the storage in the Android studio more current one is too low barely run my few pojects.

    1 vote

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    0 comments  ·  Firebase Studio  ·  Edit…  ·  Delete…  ·  Admin →
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12. Integrate the new Google agent development kit and Agent to Agent frameworks
    2 votes

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    0 comments  ·  Firebase Studio  ·  Delete…  ·  Admin →
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13. please attach a gpu any one it will really help in ding mml stuffs sir .
    1 vote

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    0 comments  ·  Firebase Studio  ·  Edit…  ·  Delete…  ·  Admin →
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14. not every developer prefers to use github

    I like to use my local machines for version control for security reason and with Project IDX there seem to be no security as you can look at my code.

    6 votes

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    0 comments  ·  Firebase Studio  ·  Delete…  ·  Admin →
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15. Mirror other phones

    I need know how to do this

    1 vote

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    0 comments  ·  Emulators  ·  Edit…  ·  Delete…  ·  Admin →
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16. Fix the delete button

    If by design than disregard. The delete button and requires you use lowercase when typing. It should include upper and lower as a correct response to delete an app.

    1 vote

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    0 comments  ·  Other  ·  Edit…  ·  Delete…  ·  Admin →
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17. Hybrid On Device Inference using Firebase AI Logic. Mobile please.

    Hybrid On Device Inference using Firebase AI Logic. Mobile please.

    1 vote

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    0 comments  ·  Firebase AI Logic  ·  Edit…  ·  Delete…  ·  Admin →
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18. google adk

    Feature Request: Seamless Firebase Studio to Vertex AI Agent Engine DeploymentHigh-Level Goal: To empower non developers, especially those with limited coding experience, to build, customize, and deploy sophisticated AI agents by creating a seamless, low-code integration between Firebase Studio and the Vertex AI Agent Engine with use of Google ADK.The Vision: The "Why"The future of productivity lies in specialized AI agents that can automate tasks and provide intelligent assistance. Platforms like Google AgentSpace and the upcoming Google Workspace Gemini Apps will be the ecosystems where these agents live.However, there is currently a gap between the easy-to-use prototyping environment of Firebase Studio and the powerful, production-grade deployment environment of Vertex AI Agent Engine. Bridging this gap will democratize AI agent development. It will enable a much broader audience of creators—including business analysts, designers, and citizen developers—to bring their ideas to life without getting stuck on complex infrastructure and deployment hurdles.By simplifying this workflow, Firebase Studio can become the definitive starting point for creating agents destined for Google's entire agent ecosystem.The Proposal: The "How"I propose enhancing Firebase Studio with the following integrated features, creating a guided, end-to-end experience for agent development and deployment.1. Native Google ADK (Agent Development Kit) Starting Templates:What: Offer a gallery of pre-built agent templates within Firebase Studio based on the Google ADK. These could range from a simple "Q&A Bot" to a more complex "Research Assistant."Why: This gives users a solid, best-practice foundation to build upon, removing the need to start from a blank slate and understand the ADK's boilerplate code.2. Integrated "Toolbox" for Agent Capabilities:What: A simple, visual interface or "toolbox" within Firebase Studio to add tools to an agent. This would include:Google Search: A one-click integration to give the agent the ability to search the web for real-time information.Database Connectors (Your "MCP Toolbox"): Simplified connectors for common databases (like Cloud SQL, Firestore, BigQuery, and even common external databases). The user would provide credentials and connection details through a simple form, and Firebase Studio would handle the code for connecting the agent to that data source.Why: Abstracting away the complexity of API calls and database clients.3. Simplified Vertex AI RAG Configuration:What: An intuitive, guided workflow for setting up Retrieval-Augmented Generation (RAG). A user could simply point to a Google Drive folder, a Cloud Storage bucket, or a website, and Firebase Studio would manage the process of indexing that content and making it available to the agent for contextually relevant answers.Why: RAG is incredibly powerful but setting up vector embeddings and data pipelines is a major hurdle for non-specialists. Automating this makes grounding agents in specific knowledge accessible to everyone.4. One-Click "Deploy to Vertex AI Agent Engine" Button:What: The cornerstone of this request. A button in the Firebase Studio interface that automates the process of packaging the agent, configuring the necessary resources, and deploying it as a scalable, secure endpoint on the Vertex AI Agent Engine.Why: This is the "magic step" that removes the most significant barrier for low-code developers. It transforms agent deployment from a complex DevOps task into a simple, final step in the creative process.Summary of BenefitsAccelerates Innovation: Drastically reduces the time and expertise needed to go from an idea to a deployed AI agent.Drives Adoption: Encourages wider adoption of Google's entire AI stack (Firebase Studio, ADK, Vertex AI).Populates the Ecosystem: Creates a pipeline of high-quality, specialized agents ready for Google AgentSpace and Workspace, creating a vibrant and useful ecosystem for all users.Empowers a New Class of Creators: Unlocks the potential of non-traditional developers to build and contribute valuable AI solutions.

    Feature Request: Seamless Firebase Studio to Vertex AI Agent Engine DeploymentHigh-Level Goal: To empower non developers, especially those with limited coding experience, to build, customize, and deploy sophisticated AI agents by creating a seamless, low-code integration between Firebase Studio and the Vertex AI Agent Engine with use of Google ADK.The Vision: The "Why"The future of productivity lies in specialized AI agents that can automate tasks and provide intelligent assistance. Platforms like Google AgentSpace and the upcoming Google Workspace Gemini Apps will be the ecosystems where these agents live.However, there is currently a gap between the easy-to-use prototyping environment of Firebase… more

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    0 comments  ·  Firebase Studio  ·  Edit…  ·  Delete…  ·  Admin →
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19. Support other stack when using Prototype an app with AI

    • Instead of only supporting nextjs, tailwindcss. It can also support Vite, Angular, etc...
    • Also add option to help switch between normal workspace and being able to use Prototype an app with AI
    • Add Github management section: to be able to connect once, and then each workspace can connect automatically (create repository, push, ...), can be select existed repository when create new workspace
    1 vote

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    0 comments  ·  Firebase Studio  ·  Edit…  ·  Delete…  ·  Admin →
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20. Generated SDK types

    Given a schema with a nullable type

    type MyType @table() {
    id: uuid!
    nullableString: String
    }

    When running a query that selects records from MyType and filters out null values for nullableString, the generated SDK still types nullableString as string | null (or string? | null). Even though the query ensures no null values are returned for that field.

    It would be great if the SDK could be smarter and refine the generated type to just string when the query explicitly filters out null values for that field.

    1 vote

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    0 comments  ·  Data Connect  ·  Edit…  ·  Delete…  ·  Admin →
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