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My Environment:
- ChatGPT-4o (Plus)
- Windows 11
- Visual Studio Code (IDE)
- Lines of Code: Less Than 10k
QUESTION:
I need advice based on your experience, what would be my best option(s) in your opinion?
BACKGROUND INFO:
Priorities:
Persistent Memory.
Excellent Code Development.
Integration with VS Code is desirable but not mandatory.
ChatGPT is pretty good at developing the python code that I need to gather web page content and analyze it, but it doesn't remember specifications for the project, or the code, unless I re-upload those files, or remind it what to look at. It forgets which sub-routines were fixed in the previous version of a source code file and thus re-introduces those bugs.
I need something better than this.
It seemed like Mutable.ai would be much closer to what I want, but they were acquired by Google and are no longer available.
Is there a way to give ChatGPT an indexed database so it can remember the code and requirements without reminders?
The table below summarizes the capabilities of some major alternatives in terms of persistent memory, code context handling, editor integration, and unique strengths:
| Assistant | Persistent Memory | Code Context Scope | Integration/ Platforms | Notable Strengths |
|---|---|---|---|---|
| Continue | Yes – via optional memory block for long-term knowledge . Stores info across sessions. | Full repository indexing; attach files or entire codebase to queries | VS Code extension, JetBrains plugin . Open-source (self-host or cloud). | Open-source and customizable; cross-IDE support; uses GPT-4 or other models with configurable tools. |
| Cursor |
. Chat history persists during usage by default | Full-project awareness via automatic embedding index . Includes relevant files in each response. | Standalone AI editor (VS Code-like). Runs on desktop (Mac/Win/Linux). VS Code extensions importable. | Deeply integrated AI (editor built around it); multi-model (GPT-4, Claude, etc.); can operate offline with privacy mode |
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Web Development
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Web development includes all aspects of presenting content on intranets and the Internet, including delivery development, protocols, languages and standards, server software, browser clients, databases and multimedia generation.