1123 results found

1. crownedsupremetriple777@gmail.com

   Gmail app

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2. Japanese IME Enter key submits messages during composition in Firebase Studio

   When typing messages in Gemini within Firebase Studio with a Japanese IME enabled,
   the Enter key pressed during text composition is incorrectly handled as message submission,
   which frequently causes accidental sends.

   While composing text, the Enter key should be used only to confirm conversion
   and must not trigger message submission.
   Please align this behavior with that of other common services.

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3. Add support for Agent Skills

   Add support for Agent Skills (https://agentskills.io/home).

   Skills is being supported by almost all the Agentic IDEs. For instance, tools such as Gemini CLI and Google Antigravity support Skills now.

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4. Miniosu Elena Mariana
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5. AI Assistant for Real-Time Guidance When Users Get Stuck

   An AI assistant designed to proactively guide users when they are stuck, offering contextual suggestions and actionable next steps in real time. Similar to Google AI Live or Google Gemini, it analyzes user intent and current state to surface relevant solutions, reduce friction, and help users move forward confidently without breaking their workflow.

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6. Github auto feed to firebase conle backend

   After deployment in firebase studio, app hosting require backend to rollout. However GitHub has to feed firebase console the code in repo. That request is now done manually and can miss critical steps that lead to frustration

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7. Une fonction pour directement télécharger
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8. Add native AI-assisted, context-aware code completion to Firebase Studio

   Firebase Studio right now offers basic code completion through its standard editor.

   Adding built-in AI-powered code completion could bring several new features:

   • Smart suggestions based on the code around it

   • Ability to generate multiple lines of code as you type

   • Understanding the purpose behind your code, like GitHub Copilot does

   • Compatibility with popular Firebase Studio languages such as TypeScript, JavaScript, Dart, and JSON

   Now developers have to depend on external extensions to access AI-based code completion. This disrupts their workflow when they work in Firebase Studio.

   Having built-in AI code completion would boost efficiency and turn Firebase Studio into a more robust tool for developing apps.

   Firebase Studio right now offers basic code completion through its standard editor.

   Adding built-in AI-powered code completion could bring several new features:

   • Smart suggestions based on the code around it

   • Ability to generate multiple lines of code as you type

   • Understanding the purpose behind your code, like GitHub Copilot does

   • Compatibility with popular Firebase Studio languages such as TypeScript, JavaScript, Dart, and JSON

   Now developers have to depend on external extensions to access AI-based code completion. This disrupts their workflow when they work in Firebase Studio.

   Having built-in AI code completion would boost efficiency and turn Firebase Studio into a… more

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9. Make personalizing accsess

   Opprette kontoer for hver enkel bruker

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10. Fire base web application

    Fire base web application for fire based code app

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11. I would like to import the source code of an existing GitHub repository from Firebase Studio Prototyper Gemini so that I can modify it. This

    I would like to import the source code of an existing GitHub repository from Firebase Studio Prototyper Gemini so that I can modify it. This feature is very useful, so please consider it.

    As a specific example, I would like to import the source code of the following GitHub repository so that I can modify it from Firebase Studio Prototyper Gemini.
    https://github.com/okamoto53515606/homepage

    PS)
    Until the above feature is available, I plan to proceed as follows:
    1. Instruct Firebase Studio Prototyper to create a dummy app (with minimal functionality).
    2. Press the "Publish" button to create app hosting for the dummy app (with minimal functionality).
    3. Open a terminal in Firebase Studio.
    4. In the Firebase Studio terminal, download and unzip the tar.gz file from GitHub.
    5. Run npm install again in the Firebase Studio terminal.
    6. Run "Restart" from Firebase Studio to rebuild your Firebase Studio development environment.
    7. Have prototyper gemini review the contents of the new docs folder and understand the structure of your app.
    8. Ask prototyper gemini to make any corrections.

    I would like to import the source code of an existing GitHub repository from Firebase Studio Prototyper Gemini so that I can modify it. This feature is very useful, so please consider it.

    As a specific example, I would like to import the source code of the following GitHub repository so that I can modify it from Firebase Studio Prototyper Gemini.
    https://github.com/okamoto53515606/homepage

    PS)
    Until the above feature is available, I plan to proceed as follows:
    1. Instruct Firebase Studio Prototyper to create a dummy app (with minimal functionality).
    2. Press the "Publish" button to create app hosting for the dummy… more

    2 votes

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12. Please communicate the following information to Gemini, the prototyper, in advance. Please also provide Gemini with a development preview UR

    Please communicate the following information to the prototyper, Gemini, in advance. Please also provide the development preview URL to the prototyper, Gemini, in advance.

    Firebase Studio Development Environment Workflow and Knowledge

    This document summarizes the knowledge required for AI development partners (App Prototypers) to understand the characteristics of this development environment and work smoothly with users.

    1. Terminal and Command Execution

    Available Command Line Tools

    The following main commands are available in the terminal of this environment.

    • git: Version control
    • gcloud: Google Cloud resource operations
    • firebase: Firebase project operations

    How to Execute Commands

    In dialogue with the user, the AI ​​presents commands to be executed.

    • `bash Markdown: When commands are presented in this format, an execute button (▶) appears in the user interface. The user can execute the command simply by pressing this button.
    • AI Cannot Execute Directly: The AI ​​itself does not have the permission to execute commands directly. The basic workflow is a collaborative one: the user executes a command, communicates the results to the AI, and then proceeds to the next step.

    2. Deployment and URL

    Deployment Flow

    • Pushing to Production: By pressing the "Publish" button in the upper right corner of the UI, the developed application is deployed to Firebase App Hosting and pushed to the production environment.

    Environment URL

    • AI Doesn't Know URLs: By default, the AI ​​does not know the development preview URL or the production URL.
    • User-Provided Information: The user can run a command such as firebase apphosting:backends:list and provide the AI ​​with the URL identified from the command. The AI ​​can then remember that information as context and use it for future development (such as CORS configuration).
    • Example of URL confirmed:
    • Preview URL: https://9000-firebase-studio-*.cloudworkstations.dev/
    • Production URL: URL confirmed using the firebase apphosting:backends:list command

    3. Infrastructure Configuration Workflow Example

    In addition to code, Firebase and Google Cloud infrastructure configuration can also be performed in conjunction with AI.

    1. User specifies the goal: (Example: "I want to securely set the service account's private key as an environment variable.")
    2. AI plans and suggests commands:
    3. Check the account with gcloud iam service-accounts list.
    4. Use gcloud iam service-accounts keys create - ... to output the key to standard output without saving it to a file.
    5. User executes command: Executes the suggested command and optionally provides feedback to the AI ​​with the results.
    6. Continuous Operation Through Collaboration: The AI ​​suggests the next step based on feedback.

    This workflow allows users unfamiliar with commands to safely and accurately configure infrastructure with the assistance of the AI.

    4. Version Control (Git) Workflow Example

    How Auto-Commit Works

    The AI ​​suggests file changes, and once they're applied, the changes are automatically committed to Git. The commit message contains the AI's instructions (user prompts).

    Reverting to a Specific Commit

    You can also revert a project to a specific past state through interaction with the AI.

    1. AI suggests a history check command: The AI ​​suggests a command such as git log --oneline.
    2. User executes a command and shares the results: The user executes a command and shares the displayed commit history with the AI.
    3. User specifies the commit to revert to: The user identifies the commit in the history to which they want to revert.
    4. AI suggests a rollback command: The AI ​​suggests a command to return to a specified state, such as git reset --hard <commit ID>.
    5. User executes a command: The user executes the command, reverting the project's files to a previous version.

    I would like to see the prototyper gemini be able to execute terminal commands directly.
    I would appreciate your consideration.

    Please communicate the following information to the prototyper, Gemini, in advance. Please also provide the development preview URL to the prototyper, Gemini, in advance.

    Firebase Studio Development Environment Workflow and Knowledge

    This document summarizes the knowledge required for AI development partners (App Prototypers) to understand the characteristics of this development environment and work smoothly with users.

    1. Terminal and Command Execution

    Available Command Line Tools

    The following main commands are available in the terminal of this environment.

    • git: Version control
    • gcloud: Google Cloud resource operations
    • firebase: Firebase project operations

    How to Execute Commands

    In dialogue with the… more

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13. Ai của firebase studio thiếu tính tương tác

    Khi tôi chưa đưa ra đầy đủ ý tưởng thì Ai đã thực thi ý tưởng. Ai không có tính năng hỏi đáp và tư vấn. Chỉ một câu vô nghĩa nó cũng thực thi. Thật vô hồn và không thông minh

    1 vote

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14. should be more storage because working with big apps needs more storage
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15. Universal Input and the Integration of Entry Points: Redefining the Output Pipeline via "Drafta"

    Dear Development Teams at OpenAI, Google, Perplexity, xAI, Firebase, and DeepSeek,

    I am currently developing "Drafta," an information infrastructure designed to unify the starting points of all digital outputs. I would like to share the core design philosophy of this project with you.

    1. Universal Input: Unifying Entry Points
       The primary inefficiency in the current digital experience lies in the fragmented nature of input areas (Twitter, YouTube, LINE, Firebase, Search Engines, etc.), each isolated by its destination. Drafta functions as a "Universal Input"—a single source that unifies these entry points. Instead of switching between apps based on the destination, users input their thoughts into Drafta first. From there, information is seamlessly dispatched as SNS posts, search queries, or code for Firebase. Drafta establishes a structure where existing platforms are redefined as downstream destinations within a unified pipeline.

    2. The Final Form of Conversational AI: Voice, Note, and Browser Integration
       I hypothesize that the essence of the next-generation interface lies in the seamless fusion of the following three elements. I have identified these as primary candidates for integration:
       　- Voice Interface (Candidate: Mika)
       　An interface for inputting and processing information via voice.
       　- Note Engine (Drafta)
       　A foundation that ensures structural consistency of information, optimized by color psychology.
       　- Browser (Candidate: Comet)
       　A browser that connects to external intelligence and information sources in real-time.

    3. Input Integration with Firebase Studio
       I have selected Firebase Studio as my current development foundation. My objective is to connect Drafta’s Universal Input to the robust backend flow of Firebase Studio, including code generation, execution, and previewing. By integrating the development entry point into Drafta, I aim to create a development experience that directly links the act of recording notes with the realization of products.

    4. Structural Integrity and Immediacy
       Drafta adheres to the following strict design principles to maintain the purity of information:
       　- Unification of ToDo and Notes
       　Both are treated as the same object (identical types of memos), eliminating fragmentation in data management.
       　- Maintenance of Visual Structure
       　Features that destabilize structure, such as variable font sizes or Markdown parsing, are intentionally excluded. Cognition is optimized through color schemes based on color psychology.
       　- Guaranteed Immediacy of Operation
       　A robust Undo/Redo stack is implemented to ensure a seamless experience that never interrupts the stream of thought.

    ……………………………………………………………
    Beyond the current fragmented input environments, I am confident in a future where your exceptional technologies connect even more freely and deeply with human thought through the unified origin that is Drafta. I look forward to expanding the horizons of intelligence together through the construction of this new output pipeline.

    ……………………………………………………………
    Gles - Developer of Drafta
    (natu.soral.123@gmail.com)
    ……………………………………………………………

    Dear Development Teams at OpenAI, Google, Perplexity, xAI, Firebase, and DeepSeek,

    I am currently developing "Drafta," an information infrastructure designed to unify the starting points of all digital outputs. I would like to share the core design philosophy of this project with you.

    1. Universal Input: Unifying Entry Points
       The primary inefficiency in the current digital experience lies in the fragmented nature of input areas (Twitter, YouTube, LINE, Firebase, Search Engines, etc.), each isolated by its destination. Drafta functions as a "Universal Input"—a single source that unifies these entry points. Instead of switching between apps based on the destination, users input… more

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16. Add SvelteKit project template instead of just regular Svelte + Vite

    No one uses regular Svelte + Vite these days; everyone uses SvelteKit for everything (SSR, CSR, SSG, SPA, etc)

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17. Hade short

    Aname only hade short

    1 vote

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18. Adasa

    Eleve

    1 vote

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19. I
    1 vote

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20. Native Firebase Mobile App (Android & iOS)

    I suggest that Firebase creates an official native mobile app for Android and iOS to manage projects, view analytics, logs, Firestore data, and Auth users. The web UI and PWA experience on mobile is slow and difficult to use.

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