Best Time to Migrate Chat Screens and a 3-Step Migration Procedure

Introduction: Why You Should Migrate Chat Screens

As you proceed with development using Genspark, you might notice, "I've been using this chat screen for three days now." However, this is **a highly dangerous state**.

This is because AI gradually becomes "stupid" with prolonged use. I myself, unaware of this fact, continued to use the same chat screen for a week, eventually leading to a situation where the AI **forgot even basic project information**.

In this article, we will explain the **best timing** for chat screen migration and a **3-step procedure** to migrate without losing information.

Problems with Prolonged Use: AI Becoming 'Stupid'

Problem 1: Context Window Limitations

Genspark (GPT-4 based) has a context window of approximately **128,000 tokens**. This is equivalent to about 100,000 words, but in development, the following information accumulates:

  • Conversation history (questions and answers)
  • Generated code (thousands of lines)
  • Error messages and debug logs
  • Specifications and documentation

As a result, **older information is progressively "forgotten"**.

Problem 2: Memory Fragmentation

In long conversations, the AI can only **recall important information in fragments**. For example:

Example

Initial (Day 1):

Me: "This project uses Next.js + TypeScript and PostgreSQL."

AI: "Understood. I will develop with Next.js + TypeScript + PostgreSQL."

Later (Day 5):

Me: "Please implement the login functionality."

AI: "I will implement login functionality using MongoDB." ← PostgreSQL forgotten!

Problem 3: Loss of AI Drive Access Permissions

With prolonged use, AI Drive access permissions may be lost. This prevents the AI from reading saved specifications.

Important: Prolonged use of the chat screen significantly degrades development efficiency. Regular migration is essential.

Best Timing: Every Other Day vs. Every 1-2 Hours

Recommendation 1: Migrate Every Other Day (Basic Rule)

Based on my experience, migrating the chat screen **every other day** is most effective. Reasons include:

  • Allows migration before reaching the context window limit
  • Easy to organize by segmenting daily work
  • Prevents memory fragmentation

Recommendation 2: Migrate Every 1-2 Hours (Large-scale Development)

Migration **every 1-2 hours** is recommended in the following cases:

  • Generating a large amount of code
  • Repeatedly performing complex debugging
  • AI's response has become slow

Comparison of Migration Timings

Migration Frequency Pros Cons Application Scenario
Every 1-2 hours Always high performance Frequent migration work Large-scale development, complex debugging
Every other day Balance of work efficiency and quality Potential performance degradation in the evening Small to medium-scale development (recommended)
More than 1 week No migration work Memory fragmentation, frequent errors ❌ Not Recommended

Signs You Should Migrate: 5 Warning Signals

If you notice any of the following signs, **migrate your chat screen immediately**:

✅ Migration Checklist

  1. Slow responses: Takes 30 seconds or more to respond, when it usually takes 10 seconds.
  2. Repeats the same questions: Asks questions already answered, such as "What is the tech stack?"
  3. Inconsistent answers: Suggests something different from previous instructions.
  4. Increased errors: Code that previously worked suddenly stops working.
  5. Cannot read AI Drive: "File not found" errors occur frequently.

These signs are evidence that the **context window is nearing its limit**.

Preparation Before Migration: 3 Pieces of Information to Save

Information 1: Project Concept and Specifications

This is the most crucial information. Save the following to AI Drive:

  • Project objective
  • Tech stack
  • Directory structure
  • API design
  • Database design

Save Example

Instruct Genspark as follows:

"Summarize the current project status into 'Project Concept_v2.md' and save it to the '/Project Name/' folder in AI Drive."

Information 2: Latest Progress Status

Record "how much has been completed":

  • List of implemented features
  • List of unimplemented features
  • Known bugs
  • Next steps

Information 3: Important Code and Settings

Save the following as files:

  • Environment variable settings (mask sensitive information)
  • Important functions and components
  • Deployment settings

3-Step Migration Procedure: How to Ensure a Smooth Handover

Step 1: Save Current Status

Before migrating to a new chat, **save information in the current chat**:

[Instruction example in old chat] "Summarize the development status so far into 'Development Progress_2025-12-05.md' and save it to the '/Project Name/Progress Records/' folder in AI Drive. Please include the following information: - Implemented features - Unimplemented features - Known bugs - Next tasks"

Step 2: Open a New Chat

Open a new chat screen in Genspark. The URL will have a new session ID.

Step 3: Load Information in the New Chat

In the new chat, load the saved information:

[Initial instruction example in new chat] "I am developing [Project Name]. Please read the following files to understand the project's status: 1. /Project Name/Project Concept_v2.md 2. /Project Name/Progress Records/Development Progress_2025-12-05.md After reading, please summarize the current status."

Migration Flow (Illustrated)

Old Chat                New Chat
    │                        │
    ├─ Save info to AI Drive    │
    │  ├ Concept.md              │
    │  ├ Progress.md              │
    │  └ ImportantCode.txt        │
    │                        │
    └─ End Chat           ├─ Start New Chat
                             │
                             ├─ Load from AI Drive
                             │  ├ Concept.md
                             │  ├ Progress.md
                             │  └ ImportantCode.txt
                             │
                             ├─ AI understands status
                             │
                             └─ Resume Development!
            

Post-Migration Verification: Is the AI Understanding Correctly?

Verification 1: Check the Tech Stack

In the new chat, ask the following:

"What is the tech stack for this project?"

If it answers correctly, the basic information has been transferred.

Verification 2: Check Current Progress

"How much implementation is currently complete? What are the next tasks?"

If it correctly grasps the progress, the migration is successful.

Verification 3: Check AI Drive Access

"Please summarize the contents of /Project Name/Concept.md."

If it can access the file, permissions are also normal.

Important: Always perform verification after migration. If development proceeds without the AI correctly understanding the information, it will lead to significant problems later.

Efficiency Tips: Utilizing Templates

Template 1: Prompt for Saving

Saving template to use in the old chat:

Summarize the current development status into 'Development Progress_[Date].md' and save it to '/[Project Name]/Progress Records/' in AI Drive. [Required Items] - List of implemented features - List of unimplemented features - Known bugs - Next tasks (with priority) - Technical notes

Template 2: Prompt for Loading

Loading template to use in the new chat:

I am developing [Project Name]. Please read the following files to understand the status: 1. /[Project Name]/Project Concept.md 2. /[Project Name]/Progress Records/Development Progress_[Date].md After reading, please tell me the following: - Tech stack - Current implementation status - Next steps

Template Storage Location

Saving these templates to **your preferred note-taking app** (Notion, Evernote, Apple Notes, etc.) will make migration dramatically easier.

Summary: Maintain Development Efficiency with Regular Migrations

Regular migration of chat screens is one of the **most crucial habits** in Genspark development. Keep the following points in mind:

  • Migrate every other day: Recommended as a basic rule
  • 5 signs: Slow responses, repeating questions, inconsistencies, increased errors, AI Drive access impossible
  • 3 pieces of information to save: Concept/specifications, progress status, important code
  • 3 steps: Save → Start new chat → Load
  • Post-migration verification: Always check tech stack, progress, and AI Drive access
  • Utilize templates: Prepare prompts for saving and loading
Conclusion: Regular chat screen migration is not "a tedious task" but "an investment to maintain development efficiency." By making migration a habit, you can consistently keep the AI's performance at the highest level.

As a next step, learn about efficient AI Drive document management and optimal quick reference configuration to build an even more efficient development environment.


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