📅 January 30, 2026 📁 Development Achievements 👀 0 views 🏷️ #Genspark #TechStackSelection #GitHub #Cloudflare

Genspark Development's "First Fork in the Road": Choosing the Optimal Tech Stack and Development Strategy by Scale

Table of Contents

Introduction: There's No "One-Size-Fits-All" Approach to AI Development

Genspark is an extremely powerful tool, but it's not effective to give the same instructions for all projects. For small-scale projects, frankly, you can just give instructions without much thought, and it will be done quickly. However, for medium-scale projects and above that span multiple days, AI memory management and source control become necessary.

This article divides project scale into three stages, explaining the optimal strategy to adopt at each stage, and the "real pros and cons of GitHub integration."

Quick Reference: Recommended Stacks by Scale

First, let's check which level your app falls into.

Level Target/Scale Recommended Strategy
Level 1 (Small) Single-use tools, calculators, etc., completed in a few hours Sandbox-complete. Just give instructions without much thought.
Level 2 (Medium) 3+ features, development spans multiple days, data storage required Document-driven. Instruction repetition prompts and specifications creation are essential.[See Article 56]
Level 3 (Large) Authentication/DB, Next.js usage, commercial level Engineering type. GitHub integration + automatic deployment. Quality checks are essential.[See Article 54]

Level 3: Essential Equipment for Large-Scale Development (GitHub Integration)

At Level 3 scale (for example, a 20,000-line SNS app like the one introduced in "The Complete Record of Developing an SNS App in One Week with Genspark, which Normally Takes 3 Months"), a sandbox alone is not enough for management.

What's particularly important is to "integrate with GitHub from the start."

⚠️ [Important] Cloudflare's "Irreversible" Specification

If you initially create a project on Cloudflare Pages using "Direct Upload (manual upload)," you won't be able to change it to "GitHub integration" later (you'll have to recreate the project).
If you think your project "might become moderately large," don't hesitate to create a GitHub repository from the beginning.

Practice: GitHub × Cloudflare Integration - "Traps" and Procedures

We will explain the actual integration procedures and common pitfalls for beginners.

1. Account and Key Preparation

  • Account Creation: You need GitHub and Cloudflare accounts. Both can be created instantly with a Google account.
  • API Key/Token: To operate these from Genspark, you'll need a Personal Access Token or similar.

💡 Hint for Obtaining Tokens

For GitHub, tokens can usually be issued from the icon in the upper right corner → Settings → bottom left Developer settings → Personal access tokens.
However, since the UI changes frequently, the most reliable way is to ask the AI "Tell me the current GitHub token issuance procedure" while you work.

2. Project Creation on Cloudflare (The Biggest Trap)

When you click "Create Application" in the Cloudflare dashboard (Workers & Pages), there's a trap here.

⚠️ Common Mistake

Do not select "Create Worker." This feature is for creating a single script and won't work well with GitHub integration.
Always select "Connect to Git" and create it as a Pages project.
If you make a mistake here, the directory structure won't match, and deployments will continuously fail.

The Reality of Operation: GitHub Integration is Not "Magic"

While I've recommended GitHub integration so far, there's actually a downside: "integrating everything with GitHub can actually decrease efficiency." I'll also share the disadvantages I discovered through actual operation.

Disadvantage: AI Stops While Waiting for Builds

When you push code to GitHub, Cloudflare initiates a build (deployment process), which takes several minutes.

  • AI Cannot Grasp the Situation: The AI agent cannot accurately detect "when the deployment is finished."
  • Freezing During Wait Time: If you instruct the AI to "wait until deployment is finished" and have it poll (periodically check), the chat will eventually freeze and stop responding.

✅ My Operational Solution

I gave up on having the AI wait. After a push, I temporarily stop the AI agent's work. I check the Cloudflare screen myself, and once I see a green "Success," I tell the AI "it's done" and resume its work.
It's a bit crude, but this is the most reliable way to prevent the AI from freezing (= losing work).

Summary: Finding the Balance Between Efficiency and Stability

For small-scale apps, it's overwhelmingly faster to power through with a sandbox without GitHub integration. However, if you're building an app with over 20,000 lines ([See Article 57]), you'll need Git-based management and an automated deployment environment, even if it means accepting the build waiting time.

Is what you want to build a "disposable tool" or an "asset to be nurtured"? Choose your initial setup accordingly.

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