1808 results found

1. PRactically useless

   Maybe first get to competence of Claude artifacts? It's not even able to make a working prototype for the "Sample prompts" provided.

   Like leggit didn't even get 1 prototype right.

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2. tên bạn
   2 votes

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3. The share option did not work .. Was try to use firebase studio for pair programming and it did not work got a 401 error

   The share option did not work .. Was try to use firebase studio for pair programming and it did not work got a 401 error. Can send a screen shot if needed

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4. Prevent hallucinating data sources by allowing it to make test requests during reasoning.

   Too often does the model hallucinate data structures of data sources and apis (even making up the addresses of data sources). This can be fixed by implementing a feature that allows it to make a test request to the address it wants to use as a data source, feeding back the data structure of the actual returned data to it (or alternatively the inevitable error 404 when it hallucinates a datasource).

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5. Prashant bhakat

   Play button Prashant bhakat

   2 votes

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6. Create Code

   as a none coder, I am unable to create files for a project, I want to at least Gemini to create and edit code

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7. ram

   Could you please add an option to get more RAM for our workspaces? The current amount (seems around 8GB) often isn't enough when running bigger Android projects, especially with the emulator and build tools going at the same time. Things can get pretty slow.

   It would be really helpful if we could choose a higher RAM configuration, maybe 16GB or 32GB, even if it's an upgrade option. This would make developing larger apps in Project IDX much smoother.

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8. Recomendaciones para Mejorar Firebase Studio

   Recomendaciones para Mejorar Firebase Studio:

   Mejora en la Interpretación de Solicitudes Complejas:

   Firebase Studio debe mejorar su capacidad para interpretar solicitudes complejas y multifacéticas.
   Se debe prestar especial atención a la identificación y el cumplimiento de las especificaciones tecnológicas (por ejemplo, lenguajes de programación, frameworks, bases de datos) proporcionadas por el usuario.
   Implementar un sistema de "confirmación" donde la herramienta, antes de generar el codigo, muestre las tecnologias que usara, y el usuario pueda aceptar, o rechazar.
   Generación de Código Más Precisa y Completa:

   La herramienta debe generar código que sea más preciso y completo, abarcando todas las funcionalidades solicitadas por el usuario.
   Se debe prestar especial atención a la generación de código para funcionalidades clave como la autenticación de usuarios, la gestión de bases de datos, la implementación de APIs y la integración de servicios externos.
   Se debe mejorar la capacidad de la IA para generar codigo, que siga la estructura de carpetas que se le indica.
   Incorporación de Comentarios y Explicaciones Detalladas:

   El código generado debe incluir comentarios claros y concisos que expliquen la lógica y el propósito de cada sección.
   Se deben proporcionar explicaciones detalladas de las decisiones de diseño y las implementaciones técnicas.
   Se debe implementar la internacionalización de los textos que se le muestran al usuario.
   Se debe generar la documentación del codigo generado.
   Mejora en la Documentación Generada:

   La documentación generada debe ser completa, clara y concisa, y debe incluir:
   Una descripción general de la aplicación.
   Detalles técnicos sobre la arquitectura, las tecnologías utilizadas y la implementación de las funcionalidades.
   Instrucciones para la instalación, configuración y uso de la aplicación.
   Traducción de la documentación a los idiomas del usuario.
   La documentación debe estar actualizada y ser accesible para todos los desarrolladores involucrados en el proyecto.
   Mayor Flexibilidad y Control para el Usuario:

   Firebase Studio debe proporcionar a los usuarios una mayor flexibilidad y control sobre el código generado.
   Se deben ofrecer opciones para personalizar la arquitectura, las tecnologías y las funcionalidades de la aplicación.
   Se debe implementar, la opcion para que el usuario pueda seleccionar las versiones de las librerias que desea usar.
   Retroalimentación Continua y Mejora Iterativa:

   Google debe establecer un proceso de retroalimentación continua para recopilar opiniones y sugerencias de los usuarios.
   Firebase Studio debe mejorar de forma iterativa, incorporando la retroalimentación de los usuarios y adaptándose a las nuevas necesidades del mercado.

   Recomendaciones para Mejorar Firebase Studio:

   Mejora en la Interpretación de Solicitudes Complejas:

   Firebase Studio debe mejorar su capacidad para interpretar solicitudes complejas y multifacéticas.
   Se debe prestar especial atención a la identificación y el cumplimiento de las especificaciones tecnológicas (por ejemplo, lenguajes de programación, frameworks, bases de datos) proporcionadas por el usuario.
   Implementar un sistema de "confirmación" donde la herramienta, antes de generar el codigo, muestre las tecnologias que usara, y el usuario pueda aceptar, o rechazar.
   Generación de Código Más Precisa y Completa:

   La herramienta debe generar código que sea más preciso y completo, abarcando todas las funcionalidades solicitadas… more

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9. "I need to talk with them using audio or video.", live streem audio and video sharing

   "I need to talk with them using audio or video.", live streem audio and video sharing

   2 votes

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10. flutter ile yap yazdığım halde kendi varsayılan aracını kullanmaya devam ediyor

    flutter ile yap yazdığım halde kendi varsayılan aracını kullanmaya devam ediyor, promp kısmının altından seçim yaptığımda da boş bir proje oluşturuyor

    2 votes

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11. Support Azion Edge SQL Database

    I would like to see full Azion EdgeSQL support. That is a serverless database based on Sqlite and LibSQL. Supports Vector Store for AI and LLMs.

    2 votes

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12. Private Repo import similar to IDX

    I noticed that currently only public repositories are supported. Are there any plans to support private repositories as well?

    2 votes

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13. needs a restore button

    Above each prompt, add a restore button to restore code back to point before prompt. Then you can restore, re-write prompt, and see what happens with the next prompt.

    2 votes

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14. It would be awesome to have a template that provided BOTH a backend and frontend experience. E.g. a next.js + mongodb instance

    It would be awesome to have a template that provided BOTH a backend and frontend experience. E.g. a next.js + mongodb instance

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15. CLI deploy and link blocking functions

    Function Deployment & Validation Flow:
    When deploying cloud functions with recognized lifecycle hook names (e.g., beforeCreate, beforeSignin), the system should:

    Detect Blocking Function Patterns
    Check if the deployed function's name matches known blocking trigger conventions.

    Assignment Validation
    Verify whether the detected function is registered as a blocking trigger in the system configuration.

    Interactive Guidance
    If unassigned, display CLI prompt:
    "Seems like you want to deploy a 'Blocking' function named <FUNCTION_NAME> but no blocking trigger is assigned. Would you like to configure this function now? (y/N)"

    Key Function Patterns:
    ```
    beforeCreate | beforeSignin | afterSignout | customBeforeHook

    (Additional supported hooks)

    
    Why This Matters:
    Proactively addresses common configuration gaps through contextual prompts, reducing deployment errors and cognitive load for developers while maintaining automation compatibility.
    

    Function Deployment & Validation Flow:
    When deploying cloud functions with recognized lifecycle hook names (e.g., beforeCreate, beforeSignin), the system should:

    Detect Blocking Function Patterns
    Check if the deployed function's name matches known blocking trigger conventions.

    Assignment Validation
    Verify whether the detected function is registered as a blocking trigger in the system configuration.

    Interactive Guidance
    If unassigned, display CLI prompt:
    "Seems like you want to deploy a 'Blocking' function named <FUNCTION_NAME> but no blocking trigger is assigned. Would you like to configure this function now? (y/N)"

    Key Function Patterns:
    ```
    beforeCreate | beforeSignin | afterSignout | customBeforeHook

    (Additional supported hooks)

    
    Why

    … more
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16. Add more auth built-in auth methods

    The way that Firebase helps developers quickly setup OAuth providers is amazing, but it would be really helpful if there were more providers to choose from. I'm sure you could do it if you set things up yourself, but making it easier to use services like LinkedIn would be really helpful.

    2 votes

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    0 comments  ·  Authentication  ·  Delete…  ·  Admin →
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17. md8094429@gmail.com
    2 votes

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18. Supports Custom Streamlit Components Consistently Fail to Load in IDX - Even with ngrok Tunneling

    Bug: Streamlit Components Fail in IDX

    Summary: Custom Streamlit components consistently fail to load in Project IDX, even w/ ngrok. Error: "app.[comp] from [ngrok_url] hasn't received Streamlit.setComponentReady()." Suggests IDX bug.

    To Reproduce: 1. IDX. 2. Basic Streamlit (app.py) + React/Webpack component (frontend/). 3. Simple React comp: Streamlit.setComponentReady() on mount. 4. package.json: webpack serve, Webpack: streamlit external. 5. ngrok.yml: ports 3001, 8501. 6. devserver.sh: ngrok, URLs, start Streamlit. 7. ./build.sh. 8. Start: npm start, ngrok start --all, ./devserver.sh. 9. Access Streamlit.

    Expected: Component loads.

    Actual: Component fails. Error: "app.[comp] from [ngrok_url] hasn't received Streamlit.setComponentReady()."

    Troubleshooting: 1. Minified comp. 2. Verified Streamlit.setComponentReady(). 3. Correct Webpack. 4. ngrok used. 5. Browsers. 6. No index.html. 7. Cleaned env. 8. Dev/prod. 9. Restarts.

    Probable Cause: IDX's handling of component requests, even w/ ngrok. Internal proxy issue.

    Impact: Impossible to dev/test Streamlit components in IDX.

    Request: Investigate.

    Code: Code in the env.

    Info: Exhaustive troubleshooting done. Problem is in IDX.

    Bug: Streamlit Components Fail in IDX

    Summary: Custom Streamlit components consistently fail to load in Project IDX, even w/ ngrok. Error: "app.[comp] from [ngrok_url] hasn't received Streamlit.setComponentReady()." Suggests IDX bug.

    To Reproduce: 1. IDX. 2. Basic Streamlit (app.py) + React/Webpack component (frontend/). 3. Simple React comp: Streamlit.setComponentReady() on mount. 4. package.json: webpack serve, Webpack: streamlit external. 5. ngrok.yml: ports 3001, 8501. 6. devserver.sh: ngrok, URLs, start Streamlit. 7. ./build.sh. 8. Start: npm start, ngrok start --all, ./devserver.sh. 9. Access Streamlit.

    Expected: Component loads.

    Actual: Component fails. Error: "app.[comp]… more

    2 votes

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19. Think Different: Gemini Subscription Rant

    Dear product manager, Gemini in Firebase is far from a good and useful product compared to the competition. The usability really sucks yet, however you're already trying to sell a subscription of it.

    Firebase sounds awesome and I'm making some trials. But make a decision:

    Or you try to sell Firebase making it really easy to test and conclude projects using AI with trully integrated Gemini with great workflow usability to built Apps and write code or you try to sell general Gemini subscription here. Other AIs are bringing better results to develop Firebase solutions.

    I'm not buying an early stage Gemini to be able to try Firebase. First make a killing free Gemini with a Firebase workflow integration and amazing support for non-developers and specialised for coding.

    Firebase solution is now unique in the market. If I can make my Apps with a killer AI in Firebase, shut up and take my money for the whole FB ecosystem with a killer integrated Gemini.

    But if you're selling a half baked Gemini integration with FB and a "not yet ready GPT level" for general purposes, I'm simply not changing AI tool subscription and probably it'll take longer to ship my Apps in Firebase.

    Other AIs are helping me more to learn Firebase than Gemini (and they have a Projects session and I can comeback from previous session to continue other day and I have both a killer code making AI and general purpose fast loading teaching AI.

    You'll kill both products trying to sell the one lagging against competition meanwhile you have another one that is unique in the market and that can hook someone now for life due to the steep learning curve. Cheers and kudos for Firebase and the pay as you go billing plan strategy. The product ecosystem is great and it's only missing an integrated AI.

    Dear product manager, Gemini in Firebase is far from a good and useful product compared to the competition. The usability really sucks yet, however you're already trying to sell a subscription of it.

    Firebase sounds awesome and I'm making some trials. But make a decision:

    Or you try to sell Firebase making it really easy to test and conclude projects using AI with trully integrated Gemini with great workflow usability to built Apps and write code or you try to sell general Gemini subscription here. Other AIs are bringing better results to develop Firebase solutions.

    I'm not buying an early… more

    2 votes

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20. Balboa currency

    Project IDX to facilitate Google Pay transactions for country Panama.
    Digital Balboa currency with Google Wallet.

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