115 results found

1. when ever we select a component of our page to edit and say ai how it should be i want ai to show recomendation live of what it can do
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2. Autonomously running lldb debug all code and running

   Reallpyc3

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3. Automate Onboarding

   I have been trying to configure/onboard firebase for a MONTH, WITH THE "HELP", not so help, of Gemini. I get sent into more rabbit holes than there are rabbits to hole. There is no way you can expect "normal people" to use your products if Gemini can't get right after a whole month.

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4. I need to withdraw
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5. Comunidades Sustentáveis

   Comunidades Sustentáveis alimentos mais saudáveis

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6. Proposal for Local Deployment of Firebase Studio to Optimize Performance and Enable Offline Functionality
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7. App Secrets

   Firebase App Secrets ̶ Runtime Secrets for Mobile & Web
   1) Problem
   Developers routinely ship API keys and tokens in apps. Obfuscation isn’t protection; true secrets must be
   short-lived, scoped, and revocable. Today, Firebase offers Cloud Secret Manager (great for servers) and App
   Check/Play Integrity (great for attestation), but there’s no first-class, managed way to deliver ephemeral,
   policy-controlled secrets to client apps.
   2) One-liner
   “Deliver short-lived, policy-scoped secrets to verified client apps with automatic rotation, attestation, and
   device-secure storage̶built into Firebase.”
   3) Core concepts
   - Vault: Secrets stored in Google Cloud Secret Manager with optional CMEK. - Policies: TTL, scope, rollout,
   rotation. - Attestation gateways via App Check. - Delivery via Firebase Secrets Service. - On-device storage
   in hardware-backed keystores. - Auditability with logs and alerts.
   4) What it’s good for (and not)
   Great for: publishable keys, per-session credentials, confidential feature flags, signed URLs. Not for:
   long-term server-side secrets like DB passwords.
   5) Developer workflow
   Console/CLI creation, scope definition, rotation, logs. Example CLI: firebase secrets set
STRIPE_PUB_KEY --type=client --ttl=10m --scope app:ios:...,app:android:... --min-app-version 312
   6) SDK shape (proposed)
   Examples in Flutter, Android, iOS, Web SDKs to fetch and manage secrets securely.
   7) End-to-end flow
   1. App requests secret. 2. SDK performs attestation. 3. Secrets Service authorizes, retrieves, encrypts, returns.
   4. SDK unwraps, validates, stores. 5. Auto-refresh at half TTL.
   8) Security model & trade-offs
   Mitigates casual static extraction, stale tokens, leakage. Residual risks: rooted/jailbroken devices. Hardening:
   per-user binding, strict versioning, geo restrictions.
   9) Integrations
   Remote Config, Cloud Functions/Run, Crashlytics, Cloud Logging & Alerts.
   10) Pricing idea
   Free tier with daily limits. Paid per 10k secret fetches + GSM storage. CMEK surcharge.
   11) Example use cases
   Stripe publishable key rotation, pre-signed upload URLs, third-party SDK tokens with scope control.
   12) MVP scope
   SDKs for Android, iOS, Flutter, Web. Policies: TTL, version/platform scope, rollout, geo. Mandatory App
   Check. Console + logs.
   13) Guardrails
   Don’t put long-term secrets in clients. Expect device compromise. Never log secret values.

   Firebase App Secrets ̶ Runtime Secrets for Mobile & Web
   1) Problem
   Developers routinely ship API keys and tokens in apps. Obfuscation isn’t protection; true secrets must be
   short-lived, scoped, and revocable. Today, Firebase offers Cloud Secret Manager (great for servers) and App
   Check/Play Integrity (great for attestation), but there’s no first-class, managed way to deliver ephemeral,
   policy-controlled secrets to client apps.
   2) One-liner
   “Deliver short-lived, policy-scoped secrets to verified client apps with automatic rotation, attestation, and
   device-secure storage̶built into Firebase.”
   3) Core concepts
   - Vault: Secrets stored in Google Cloud Secret Manager with optional CMEK. - Policies: TTL, scope,… more

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8. Jazz cash payment meathod

   All meathod payment pay Jazz cash and number pay

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9. Obfuscate or hide GoogleService-Info.plist

   Secret information in GoogleService-Info.plist is easily accessible by downloading .ipa from App Store via Apple Configurator and unpacking it. That is a big security issue.

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10. please as a developer i need to be able to personally edit my code for my self
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11. Email recovery
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12. Funshot

    await FirebaseFirestore.instance.collection('questions').add({
    'question': 'Tumi ke Gamini?',
    // 'user' field optional, tai ekhane dei nai
    'timestamp': FieldValue.serverTimestamp(),
    'answered': false,
    });

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13. https://studio.firebase.google.com/studio-8297471099

    https://studio.firebase.google.com/studio-8297471099

    use this or help me please...

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14. 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.

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15. Secuence coding

    Allow us to vibe code a calculator and a calendar separate functionality somehow blocking codeblock from changes if I'm satisfied with how it works so next changes won't impact the good ones ruining the flow

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16. AI MODEL HYBRID VERSION WHO CONTROL GOOGLE AII AI MODEL OR WEBSITE OR SOCIAL MEDIA MARKETING CHANNEL UNIVERSAL WORLD SPACE BASE INFINITETIME

    AI MODEL HYBRID VERSION WHO CONTROL GOOGLE AII AI MODEL HYBRID VERSION OR WEBSITE OR SOCIAL MEDIA MARKETING CHANNEL UNIVERSAL WORLD SPACE BASE INFINITE UNLIMITE TIME INFINITE UNLIMITE ALL WORK WITHOUT STOP INFINITE UNLIMITE TIME

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17. To make Firebase Studio truly unbeatable, I suggest focusing on two key features:

    To make Firebase Studio truly unbeatable, I suggest focusing on two key features:

    Offline Support or Enhanced Performance: As projects grow in size, the prototyper tends to slow down significantly. Introducing an offline version or optimizing the prototyper for better performance with large resources would greatly enhance the user experience.

    Cross-Platform Conversion: After developing a web application, providing a seamless way to convert the same project—with the same structure—into Android and iOS apps would be incredibly valuable. This would streamline the development process and reduce duplication of effort.

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18. Automated Desktop-to-Web Application Conversion via AI

    Feature Request: AI-Powered Desktop-to-Web Application Conversion
    The Core Idea
    I'm a Java desktop application developer, and I've often thought about the immense value of bringing these robust applications to the web. My core suggestion is for Google to enhance its AI-powered web application creation tools to allow developers to upload existing desktop application source code. The AI would then analyze and "replicate" the application's functionality and user interface as a web-based application.

    The Problem This Solves
    Currently, converting a desktop application like one built with Java Swing or SWT to a web application is a massive undertaking. It typically requires a complete rewrite, learning new web frameworks such as React, Angular or Vue, different programming paradigms, and extensive UI/UX redesign for a browser environment. This process is extremely time-consuming, taking weeks or months of development effort. It is cost-prohibitive, often requiring new hires or retraining existing teams. It is risky, as new code introduces new bugs and requires thorough re-testing. It also limits adoption, preventing many valuable desktop applications from reaching a wider audience and leveraging cloud benefits.

    As it stands, existing AI code generation tools are great for starting new projects or generating snippets, but they lack the ability to comprehend the holistic structure and logic of a complex, pre-existing application and translate it across different platforms.

    The Proposed Solution & Its Benefits
    Imagine a feature within Google's AI development platforms like Vertex AI, or integrated into an enhanced Google Cloud environment for developers, that allows us to upload Java desktop application source code. Developers could upload their src folders or project archives. The AI would analyze the application's business logic, understand the core functions, data flow, and algorithms. It would identify user interface components like buttons, forms, tables, and their interactions. It would comprehend how the application maintains its internal state and recognize external libraries and their roles.

    The AI would then generate a functional web application, potentially using popular web frameworks such as React, Angular or Vue for the frontend, with a Spring Boot, Node.js, Go backend or even serverless functions, along with relevant API definitions. The system could offer suggestions for web-native UI/UX improvements, identify areas needing manual review, or flag components that don't have direct web equivalents, allowing developers to refine the conversion.

    This capability would offer immense benefits. It would bring massive time and cost savings by drastically reducing the effort and expense of migrating legacy applications. It would accelerate digital transformation by enabling businesses to rapidly modernize their software portfolios. It would increase accessibility by making existing, valuable desktop tools instantly available via any web browser, without installations. It would democratize web development by lowering the barrier to entry for developers experienced in other paradigms. It would facilitate the transition of applications to scalable, cloud-based infrastructure. It would unlock hidden value by unleashing the untapped potential of countless robust desktop applications currently siloed from the web.

    This capability, while technically challenging, represents the next frontier in AI-assisted development. It would be a groundbreaking offering that could revolutionize how organizations approach application modernization and significantly empower developers. Thank you for considering this critical enhancement.

    Feature Request: AI-Powered Desktop-to-Web Application Conversion
    The Core Idea
    I'm a Java desktop application developer, and I've often thought about the immense value of bringing these robust applications to the web. My core suggestion is for Google to enhance its AI-powered web application creation tools to allow developers to upload existing desktop application source code. The AI would then analyze and "replicate" the application's functionality and user interface as a web-based application.

    The Problem This Solves
    Currently, converting a desktop application like one built with Java Swing or SWT to a web application is a massive undertaking. It typically requires… more

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19. I was added to a project I don't recognize and can't remove myself

    I receive an email saying that somebody has added me to their firebase project. I do not know this person nor this project.
    I cannot reject the invitation. It was in fact not an invitation, just a notification that I was added to that project.
    I try to remove myself but I can't because I don't have permisison to remove member from that project
    How can someone just add me to a project just by knowing my email? Why doesn't it an invitation that I can turn down? and why can't I remove myself?

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20. Small ***** Anxiety

    An app that you can come to for a therapy session for small ***** Anxiety

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