Atlas E74243keac

Emergent Help

What does "you have reached context limit" error mean?

The "context limit" error indicates your project has grown too large to fit within a single agent context. This typically happens with complex applications or extensive conversation history, as the limit exists to ensure the agent maintains a complete understanding of your project. To resolve this, please follow our detailed guidelines which includes techniques for breaking larger projects into manageable modules and properly saving progress to continue development in new tasks.

To find how to save your progress to GitHub and start a new chat, please follow the steps listed in the Features and Tools article at <

https://atlas-kb.com/atlas-e74243keac/articles/549082-features-and-tools

When your Emergent AI agent enters sleep mode to conserve resources:

Locate and click the "Wake Up Agent" button in the interface to reactivate the agent

Allow up to 15 minutes for the agent to initialize if it doesn't activate immediately - this is a normal part of our system's resource management

If the agent remains unresponsive after 1-3 minutes, please contact our technical support team at 

When you see the "waiting for human response" message:

This indicates the agent needs your input to proceed with development

Wait approximately one minute as sometimes there might be a slight processing delay

If the agent continues waiting, simply type "continue" in the chat to prompt the agent to resume its work, or give additional instructions if you like

This typically happens when the agent needs confirmation or additional information to proceed with your coding project

Agent keeps looping in the same question/issue

If your Emergent agent gets stuck in a loop or becomes unresponsive:

Immediate actions you can take: Use the pause button located on the chat screen to halt the agent's current processes. Type "finish" in the chat to instruct the agent to complete its current task. Hover over the chat interface and use the rollback feature to return to a previous, working state.

For preserving your work: You can use the "save to GitHub" function within the chat window to ensure your code is safely stored. This allows you to restart the agent without losing progress on your development

These issues occasionally occur when the agent encounters complex logic or ambiguous instructions. After resolving, try providing more specific guidance to avoid similar loops.

Emergent's code generation process is deliberately thorough and may seem slower than simpler code generators because:

Our AI-powered platform performs deep research and planning for each development task
The agent creates complete, working applications with properly integrated frontend and backend components
This comprehensive approach requires more processing time but delivers higher quality results

The agent is analyzing requirements, planning architecture, and considering best practices
It's writing code, testing for errors, and optimizing as it progresses
For complex applications, this process can take time but yields production-ready code

While we're continuously improving performance in our beta phase, we prioritize delivering functional applications rather than just quick code snippets. Your patience results in more robust, complete solutions.

Click the rollback button in the chat interface

"Erase all messages and generated code" (complete reset)
"Erase messages only" (keeps code but removes conversation)

Confirm your choice (note: this action cannot be undone)

Why am I being charged when I am not getting the output I want?

We understand why it feels unfair to spend credits when the agent’s first attempt isn’t perfect. In practice, though, each request to Emergent triggers real compute—parsing your prompt, writing code, compiling, running tests, and so on. That work consumes resources whether the outcome is exactly what you hoped for or needs refinement, just as an engineer’s billable hours cover both writing and debugging their code.

The good news is that “mistakes” are usually solvable iterations, not wasted effort. A few tips can minimize retries and credit use:

 Complete the backend first, then UI, then integrations—each stage is easier to debug and cheaper to rerun.

 This preserves working versions so you never have to rebuild from scratch.

 for prompt structure, context limits, and common troubleshooting techniques:


https://atlas-kb.com/atlas-e74243keac/articles/415975-best-practices

If the agent behaves unpredictably even after these steps, please share the run-ID with us. We’ll investigate, suggest a fix path, and—if a platform defect is confirmed—make things right.

Our goal is for every credit you spend to move your project forward, and we’re here to help you get the results you need.

I encountered an error not covered in the help section

If you've encountered an issue not addressed in our documentation:

First check all help documentation for potential solutions

Description of what you were trying to do

For any questions or assistance, feel free to email us at 

Troubleshooting Guide

To connect your GitHub account to Emergent:

1. Click on your profile at the top of the interface

2. Look for and click the "Connect GitHub" button

3. You will be redirected to GitHub's authorization page

4. Grant Emergent permission to access your repositories

Click the GitHub button in the Emergent interface

Select a repository from the dropdown list to work with

To commit and push your changes to GitHub:

Click the "Save to GitHub" button in the chat interface

Enter a commit message describing your changes

Select the branch you want to push to (or create a new branch)

Click "PUSH TO GITHUB" to save your changes 

If you're experiencing difficulties pushing your Emergent project to GitHub:

Use the built-in integration: Locate and use the "Save to GitHub" function in the chat interface. This native integration is optimized for Emergent projects.

Check authentication: Verify your GitHub credentials are correctly linked to your Emergent account. You may need to reconnect authorization if it has expired.

Repository permissions: Confirm you have write access to the target repository. Check that the repository exists and you're targeting the correct URL.

If problems persist, try creating a new repository specifically for your Emergent project, which often resolves permission-related issues.

Conflict detected error while pushing to GitHub

When encountering GitHub conflict errors with your Emergent project:

This is the simplest solution to bypass conflicts with existing code
A new branch allows you to save your work without affecting the main codebase
Later, you can properly merge changes using GitHub's conflict resolution tools

This error typically occurs when changes in your Emergent project conflict with recent changes in the repository
Creating a new branch isolates your changes until you're ready to resolve conflicts

For complex projects, we recommend always working in feature branches rather than pushing directly to main/master branches.

For viewing your app as you build it and check the responsiveness, design, and interactivity

To preview your application in real-time:

Click the Preview button in the Emergent interface

A preview window will open showing your application's current state

Interact with your application to test functionality

The preview automatically updates when you make changes to your code

Check interactive elements like buttons and forms

Ensure responsive design works across different screen sizes

When encountering errors in your Emergent project preview:

Use the agent's debugging capabilities: Copy the complete error message text -> Paste it in the chat with a request like: "Please solve this error" .The agent will analyze the error and provide solutions.

Why this works: The agent has deep knowledge of common development errors. By sharing the specific error, you enable precise troubleshooting
This approach is faster than trying to describe the problem in general terms

For persistent issues: If the agent cannot resolve the error, try providing additional context. Include information about when the error occurs and any relevant code sections.

Most preview errors can be resolved directly with the agent's assistance, as it has comprehensive understanding of web development issues. 

To view full file structure, debug and modify agent-generated code manually

Click the VS Code icon in the Emergent interface

Use the file explorer on the left to navigate your project structure

Click on any file to view or edit its contents

Make manual adjustments to agent-generated code

First, use the Preview button to test your application and ensure it works correctly.

Once you're satisfied with the preview, click the Deploy button in the Emergent interface.

Click "Deploy Now" to publish your application.

Wait for the deployment process to complete (typically 15 minutes).

Once finished, you'll receive a URL where your application is live.

After deployment, you can configure environment variables and custom domain settings if needed.

Share this URL to allow others to access your application.

Always preview your application before deploying

Deployment creates a publicly accessible URL for your application

The deployment process typically takes 15 minutes

You can redeploy at any time to update your live application

Environment variables and domain settings can be configured after deployment

Deployment costs 50 credits per month per deployed app

Creates a production-ready environment with managed infrastructure that stays live 24/7

You can securely manage secrets and environment variables

Custom domains can be added, you just need to configure the A record with your DNS server and add Emergent's IP listed in the Custom Domain Flow.

You can relace your existing deployments with a new deployments without any additional charges, this will help you iterate on complex applications spanning across jobs. 

Apps can be rolled back to a stable version at no additional cost

You can shut down any deployed app anytime to stop recurring charges

Features and Tools

Build MVP First and add features incrementally

Build your Minimum Viable Product (MVP) first

Add one feature at a time after MVP is complete

This approach maintains application stability, makes tracking bugs easier, optimizes credit usage, and provides clear checkpoints for your development process

When working with complex project concepts:

Start with a simpler version of your concept

Break complex projects into small, manageable parts

Test thoroughly before moving to the next component

Gradually increase complexity only after basics work

Describe desired layout, colors, and typography in your prompts

Reference existing designs as inspiration

Specify preferred UI frameworks or components

Review the generated design and request refinements as needed

Use Rollback to delete unnecessary messages

Choose "Erase messages only" to keep generated code intact

This reduces credit consumption, keeps your session clean and focused, and maintains progress while clearing context

When facing agent loops or excessive credit usage:

Start a new chat with a fresh environment

Pull your code from GitHub to continue building

Use Rollback to Resolve Persistent Issues

When encountering repeated errors or getting stuck:

Use Rollback to return to the last stable point

Provide a new, clearer prompt focusing on the issue

Break the problem into smaller, more manageable parts

To ensure your application runs efficiently:

Review and optimize critical rendering paths

 when you need reliable, comprehensive testing without user intervention. 

 when you want cost-effective, flexible testing with better third-party integration support, and don't mind being more hands-on with the process. E1.1 uses lesser credits by decoupling front-end testing and letting the user choose.

Click the (+) icon at the top of the chat interface to increase your budget

You can allocate up to 100 credits per individual task

For larger projects exceeding 100 credits:

Save your current progress-> Start a new task ->Reference your GitHub repository in the new task

Monitor your credit usage in the credits display at the top of the interface

Plan your development to efficiently use available credits

Break large projects into logical modules across multiple tasks

Use GitHub to maintain continuity between tasks

Focus each task on specific features or components

Provide clear references to previous work when starting new tasks

Building with Emergent

Troubleshooting Guide

Features and Tools

Best Practices