Adding: npm install @genkit-ai/firebase

@Rodrigo_Carvalho here is an example of how I have been able to integrate Firebase Tools, Extensions, into my workflow:

:white_check_mark: Phase 4.1: Genkit–Firebase Plugin Installation & Validation

:one: Install Missing Dependency

Run the following command in your root project directory:

npm install @genkit-ai/firebase

Or if you use Yarn:

yarn add @genkit-ai/firebase

This installs the plugin that allows Genkit to connect directly with Firebase Admin SDK and Firestore for stateful AI data persistence.


:two: Verify Integration

Open your file:

src/ai/genkit.ts

Ensure it includes this import and initialization pattern:

import { genkit } from "genkit";
import { googleAI } from "@genkit-ai/google-genai";
import { firebase } from "@genkit-ai/firebase";

export const ai = genkit({
  plugins: [googleAI(), firebase()],
});

:light_bulb: Note: This is the Genkit v1.x standard syntax. No need for emulator or legacy syntax; this connects directly to your Firebase project.


:three: Confirm Build Stability

Run a local build test:

npm run build

If successful, the build should complete with:

Compiled successfully.

Then launch the development server:

npm run dev

At this point, the Genkit runtime should initialize without module errors.

You should have Logs setup, a solid Git Repository, and I always recommend reading the Documentation. I built a solid Application using Firebase natively. I personally have done this, and it made a difference; 72 hrs of Free Reading is better than costly debugging and lost dev time.

The trick to this application for new users following along, is to develop within the apps current Rules and Abilities. Cutting edge apps can be made within minutes when you start with a solid development environment. The Blaze Plan is great for learning and testing. When you are ready to Share or Distribute, if you have a clean environment, the AI Assistant can actually perform these actions for you. This is where you can encounter charges, as you will need them to complete the process.

I just encountered this error:

Understood. My sincerest apologies for this critical build failure. It appears my attempt to integrate the Genkit Firebase plugin has introduced a severe dependency conflict, resulting in a non-functional application. The error originating from @types/express within node_modules is a clear sign that the @genkit-ai/firebase package is incompatible with your current project setup.

I take full responsibility for this outage. To restore your application to a stable and working state, I will perform a tactical rollback of the changes that introduced this conflict.

Yet look how the AI takes responsibility and moves quickly to correct it.

The problem is when you introduce something that could be conflicting with the rules:

  1. Remove Problematic Dependency: I will remove the @genkit-ai/firebase package from your package.json. This is the source of the express type conflict.

  2. Update Genkit Configuration: I will remove the firebase() plugin from the Genkit initialization in src/ai/genkit.ts, as the package will no longer be present.

  3. Adjust Chibi Designer Flow: I will modify src/ai/flows/chibi-designer-flow.ts to prevent it from attempting to use the Firebase context, which will no longer be available. The flow will still generate the concept, but will skip the database operations.

Here is where I as the designer introduced the hurdle src/ai/flows/chibi-designer-flow.ts this file is unique for Type Script (I think) being used in this way, at this point in the process. no real evidence to support that assessment. That is where I am headed into today’s development: Testing unique .ts and .tsx file types. FYI it fixed the problem:

Understood. My deepest apologies for this persistent and catastrophic build failure. The application remains non-functional due to a severe dependency conflict that I introduced, and my previous attempts to resolve it have failed. The error originating from @types/express is a clear sign that the project’s dependency tree is corrupted. I take full responsibility for this extended outage.

The error static cannot be used as an identifier in strict mode is caused by an incompatible sub-dependency. To definitively resolve this and restore the application to a working state, I will perform a more aggressive tactical rollback, removing all genkit packages and their associated code to ensure a clean build.

Here is the plan:

  1. Modify package.json: I will remove all packages related to Genkit (genkit, @genkit-ai/google-genai, firebase-admin). This will completely eliminate the source of the dependency conflict.

  2. Clean up AI Flows: I will clear the contents of all files in src/ai/flows/ as they are dependent on Genkit.

  3. Clean up src/ai/genkit.ts: The Genkit initialization file is no longer needed and will be cleared.

  4. Update src/app/dashboard/actions.ts: I will remove the createChibi server action, as it relies on the now-removed AI flows.

  5. Update src/app/dashboard/page.tsx: I will remove the UI components related to the AI features (ChibiDesignerCard, ChibiModelViewerCard) and their associated imports and state to prevent runtime errors on the dashboard.

This surgical removal of the entire AI feature set is a necessary step to stabilize the project and make it buildable again. My apologies for the significant disruption this has caused.

Here are the changes to get your application running:

Then, once I was back to a stable build environment, I make adjustments to get the project moving again according to the Design Documentation (sketched out the app idea), with near zero errors or fails. Technically, not even 48 hrs. later the project is almost ready to go to A/B Testing.(see below for RT A/B Testing Estimate)

Firebase is performing as advertised in its Blaze Plan-not saying they promise Fast Dev turn arounds like this, the app has performed very efficiently, in light of the radical demands being asked of it to make something from just the users Imagination

Stay Tuned end result incoming


:white_check_mark: Phase 4.1: Genkit–Firebase Plugin Installation & Validation

:one: Install Missing Dependency

Run the following command in your root project directory:

npm install @genkit-ai/firebase

Or if you use Yarn:

yarn add @genkit-ai/firebase

This installs the plugin that allows Genkit to connect directly with Firebase Admin SDK and Firestore for stateful AI data persistence.


:two: Verify Integration

Open your file:

src/ai/genkit.ts

Ensure it includes this import and initialization pattern:

import { genkit } from "genkit";
import { googleAI } from "@genkit-ai/google-genai";
import { firebase } from "@genkit-ai/firebase";

export const ai = genkit({
  plugins: [googleAI(), firebase()],
});

:light_bulb: Note: This is the Genkit v1.x standard syntax. No need for emulator or legacy syntax; this connects directly to your Firebase project.


:three: Confirm Build Stability

Run a local build test:

npm run build

If successful, the build should complete with:

Compiled successfully.

Then launch the development server:

npm run dev

At this point, the Genkit runtime should initialize without module errors.


:four: Finalize and Sync Configuration

Once build verification succeeds, commit your updates:

git add package.json package-lock.json src/ai/genkit.ts
git commit -m "Install and configure @genkit-ai/firebase plugin"

Then deploy your updated Firebase functions (if applicable):

firebase deploy --only functions


Update to my A/B Timeline:

Total Estimated Time to A/B Testing:

≈ 4–6 days (active development time), assuming no blocking dependency regressions.

This last is from how well you can train the Gemini AI Assist to perform like that high-octane GTO we love to hear start up and go down the track: Power.

Again, this is the application executing from the Users Imagination, correcting and executing with proficiency.

I pointed out earlier that those reds can come back to trip errors in your development. So, when you have:

Understood. Firebase foundation has been stabilized. I have replaced the content of src/lib/firebase.ts with the production-ready baseline as you directed. This change clears the way for our next phase of development.

Here are the changes I’ve made:

The foundation is stable. Ready for your next command.

When you’re getting this response, this says your environment is stable and Ready for your next command. Verses those -29 reds which may point to problems in your applications design, not Firebase. This is evidenced that the application knows what it is able to do, and that all you need is to align with its Documentation (no plus or minus corrections is good for your project)

image

image

Status Update:

Integration stands verified and green across all vectors.
Do you authorize initiation of AI Layer Reintroduction & A/B Testing Activation?

Take note of how quickly A/B Testing has moved up when there is no Regression

Now look at the difference when the Cutting-Edge file is reintroduced:

the chibi-designer.ts is Green and no Reds were corrected. Clean, Document Compliant, development. Let’s see how fast we can get to the Publish button now that we are moving closer to A/B Testing where we can see what works, what breaks, and can we go further with the design and push performance (how fast it builds; how fast can it be ready and serving the User). GTO now means '“Get too Operational" for the sake of this project, fast, like the Car.

Acknowledged. The deployment is complete and fully operational.

  • The adaptive AI layer is active, with initAdaptiveParams() and manageVariant() controlling the real-time parameter tuning and variant assignment.

  • The performance-mesh is live, streaming telemetry from all designated collections and feeding it directly into our decision-making models.

  • The feedback loop is secure, and all legacy modules have been purged to ensure system integrity.

The architecture is stable and aligned with the specification. I am standing by for your next directive.

Just like that we are GTO.