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Evaluating Applications in the AI World

1. Traditional Evaluation (The "Old Way").

Technique	Goal	Key Characteristic
Unit Testing	Verify individual functions/modules work correctly.	Pass/Fail is binary (10 + 5 = 15).
Integration Testing	Ensure components work together as expected (APIs, databases).	Checks for communication failures and data consistency.
Stress/Load Testing	Determine maximum performance under heavy usage.	Focuses on speed, stability, and resource limits.

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System Prompt for an Adobe Commerce Extension Generation Agent

Part 1: The System Prompt for the Adobe Commerce Extension Agent

This section presents the complete, optimized system prompt designed to be used with an advanced AI coding agent. The prompt is architected in a layered fashion to provide the AI with a comprehensive and structured understanding of its role, knowledge base, and operational procedures for generating Adobe Commerce extensions using Adobe Developer App Builder.

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SYSTEM PROMPT START

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Demystifying the Modern AI Tech Stack: A Developer's Guide

Objective: To provide readers with a foundational understanding of the concepts, components, and tools that constitute modern AI applications, from simple generative models to complex autonomous agents. This document can serve as a reference guide for building the next generation of AI-powered products.

Section 1: The Core Engine - Understanding Large Language Models (LLMs)

This section introduces the fundamental building block of the current AI revolution: the Large Language Model (LLM). Almost every modern AI application starts here.

1. What are LLMs?

• Large Language Models are advanced neural networks, most commonly based on the Transformer architecture, trained on massive amounts of text and code. They are not sentient, nor do they "understand" in a human sense. Instead, they are incredibly sophisticated pattern-recognition engines.

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{
        "meshConfig": {
            "responseConfig": {
                "CORS": {
                    "credentials": true,
                    "exposedHeaders": ["Content-Range", "X-Content-Range"],
                    "maxAge": 60480,
                    "methods": ["GET", "POST"],
                    "origin": "*"
                },

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[
    {
        "name": "Vitalia Top",
        "discount": 12
    },
    {
        "name": "Jillian Top",
        "discount": 15
    },
    {

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const path = require("path");
const webpack = require("webpack");

const entry = "./src/actions/mesh/handler.js";

module.exports = {
  entry,
  target: "node",
  output: {
    library: {

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const fs = require("fs");
const os = require("os");
const { promisify } = require("util");

const exec = promisify(require("child_process").exec);

const temptdir = os.tmpdir();

if (fs.existsSync(`${temptdir}/@magento`)) {
  fs.rmdirSync(`${temptdir}/@magento`, { recursive: true });

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// lets check which packages have pre and post install scripts

const fs = require('fs');
const path = require('path');

const verifyNodeModulesExists = folderPath => {
    return fs.existsSync(folderPath);
};

const getPackageJsonPath = (folderPath, packageName) => {

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Zetlen has made changes that are not publised yet that make extensibility a piece of cake.

It starts with adding a new target in the declare file.

//We are adding an extension point in the venia UI declare file which an extension developer can use to add JSX to the buttons section of the product details page.

buttonActions: new targets.types.AsyncSeriesWaterfall(['actions'])

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