Based on ElevenLabs, this video practically compares the full-stack development capabilities of Replit Agent and Bolt.new to see who can more efficiently build an upgraded AI sound generator. Integrating Grok API, new features include intelligent prompt generation, Chinese translation, and more. The practical comparison highlights the pros and cons of the two tools in development processes, database integration, and UI design.

0:00 – Project Introduction and Application Demonstration

Before comparing Replit Agent and Bolt.new, let’s review the overall concept of our AI sound generator.

• Core Tools：
• ElevenLabs: Sound effects through its API.
• Grok: For generating intelligent prompts.
• Chinese Translation: Generates Chinese for each prompt for easy viewing and selection on the frontend.
• Main Features：

1. Batch Sound Effect Generation: Allows multiple prompts to be input at once for automatic sound effect generation.
2. Customizable Sound Duration: Supports custom lengths from 0.5 seconds to 22 seconds.
3. History and Data Storage: Both prompts and generated sound effects can be recorded for later reference.
4. Bilingual Support: Only English is sent to ElevenLabs for synthesis; Chinese is for easy selection and viewing.

In the demonstration at the beginning of the video, I input prompts like “Autumn Rain” and “Summer Cicada Sounds” and used the Grok API to generate multiple possible English prompts, then had the system process them in batches to output the final sound effects.

Users can generate multiple sound effects at once or manually select preferred prompts for synthesis.

2:26 – Detailed Development Process of Replit Agent

1. Quick Setup & Intelligent Fixes

• Automatic Project Creation: In the Replit Agent environment, simply provide a rough description of your requirements, and the Agent will automatically generate the initial project folder structure and install relevant dependencies (like database drivers, AI model SDKs, etc.).
• Intelligent Fixes: When Replit Agent encounters errors, it automatically attempts to fix them without manual clicks or repeated restarts. When adding features like Chinese translation and batch prompt selection, the Agent quickly identifies the root of the errors and “self-corrects,” significantly reducing debugging and repetitive configuration work.

2. Built-in Database Integration

• Postgres: The Replit platform allows direct activation of the Postgres database, making it convenient to save and retrieve prompts, sound effect links, and other data, eliminating the cumbersome external connection process.
• Data Visualization: Replit Agent provides a simple database management interface to view table structures, history records, etc., greatly facilitating subsequent debugging or record viewing.

3. UI Design and Frontend Integration

• Default Simple Theme: The UI style of the application made with Replit Agent is quite “black and white”; although visually it may seem plain, the layout between elements is clear, and the coding style is uniform, making it easy to maintain.
• One-click Deployment: Replit also makes deployment convenient; combined with database records, a small application can be quickly completed.

6:54 – Development Process and Considerations for Bolt.new

1. Project Initialization and Supabase Integration

• Automatic Database Requirement Recognition: Bolt.new detects our need for database functionality and prompts whether to create a Supabase connection, providing a “one-click authorization” method.
• Frequent Manual Intervention Required: Unlike Replit Agent’s “self-discovery,” Bolt.new sometimes encounters minor issues requiring us to click “fix” or resubmit the same context for the system to understand again. This is especially evident during prompt modifications and database field updates.

2. Token Consumption

• Differ Mode: Bolt.new includes an experimental option “diffs” in its settings, which can reduce token consumption to some extent but needs to be manually enabled.

3. Feature Iteration

• Multiple Debugging: To achieve deep integration with the Grok API (especially generating multiple prompts at once and then translating in batches), we had multiple dialogues with the system in Bolt.new to avoid generating incorrect endpoints or missing prompt fields.

10:37 – Platform Comparison

1. Development Process

• Replit Agent: High degree of automation, good “intelligent fix” mechanism, making it relatively easy to get started and maintain.
• Bolt.new: Also powerful, but requires more manual intervention for fixes. When encountering errors, you need to click and confirm yourself, and it is prone to deadlocks.

2. Database Integration

• Replit Agent: Built-in Postgres, easy to switch, and simple visualization.
• Bolt.new: Can connect to Supabase with one click, but issues often require manual handling.

3. Feature Expansion

• Both can seamlessly call Grok API, ElevenLabs API, etc., to achieve batch sound generation, translation, packaging, and downloading functions.
• In terms of rapid feature expansion, Replit Agent’s self-fixing + built-in database is faster, while Bolt.new is more user-friendly on the visualization front but requires higher human involvement.

In summary, if you needrapid prototyping and want to minimize manual fixing work, then Replit Agent is indeed the more labor-saving and efficient choice.

Resources:

https://replit.com/

https://bolt.new/

https://elevenlabs.io/

https://x.ai/api