How to Use AI Memory for Vibe Coding Without Losing Project Context
By Sravanth Thota
AI memory helps vibe coding projects keep their plans, rules, decisions, and progress when work moves between chats, coding agents, IDEs, or devices. Vibe coding is the process of building software, apps, or side projects by writing prompts and directing AI tools to generate the code for you.
It sounds easy, and sometimes it is.
With AI getting stronger at writing code, many people who had good project ideas but could not code are now trying to build their own app, SaaS, website, tool, or side project. That is a good thing.
But there is one important point: AI can help you build faster, but it does not remove the need for structure. You can get a lot done with AI. You can brainstorm, create screens, build APIs, fix bugs, write database queries, and connect services. But if you want a real project and not just a nice demo, you need some rules and a simple way to manage the work.
Otherwise vibe coding slowly turns into vibe debugging.
Can you build a project in one shot?
Many tools can create a project or app in one shot. That is useful for demos, mockups, prototypes, landing pages, or small internal tools. It helps you see the idea quickly. But you cannot usually build a serious app in one go.
A real project needs:
clear requirements
a sensible tech stack
database planning
frontend and backend connection
authentication
security checks
testing
bug fixing
deployment setup
small improvements after real use
If someone says you can build a complete serious project in one prompt, it is either a very small project or you are being sold a dream.
One-shot building is fine for the first look. Step-by-step building is how you get something stable.
Problems you should expect
Whether you build in one shot or step by step, you will run into issues.
Common ones:
Endless bugs: fixing one thing breaks another.
Scope creep: AI builds features you did not ask for.
Rogue deletions: AI deletes files because it thinks that is the cleanest fix. Yes, this can happen.
Data leaks: frontend changes accidentally expose backend data.
Loose security: database rules are left too open.
Broken connections: frontend and backend do not talk to each other properly.
Inconsistent UI: design changes from page to page.
Messy spacing: margins and layout go in every direction.
God files: one file becomes huge because AI keeps adding everything there.
Context loss: you lose track of what was built, why it was built, and what still needs to be fixed.
This does not mean AI coding is bad. It means you need to behave like the architect of the project. AI can be the engineer, but you still need to guide the work.
Practices that make vibe coding work better
These practices will not remove every issue, but they reduce a lot of avoidable mistakes.
1. Brainstorm the idea properly
Do not depend on one AI answer. Use different AI tools and different chats. Ask one AI to improve the idea. Ask another AI to challenge it. Ask another to explain why it may fail.
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Example prompt:
I want to build a simple app for freelancers to track client follow-ups.
Challenge this idea. Tell me what is weak, what users may not pay for, and what the first useful version should include.
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If you are comfortable sharing the idea, discuss it with a friend or colleague too. Humans are still very good at spotting obvious problems.
2. Build a blueprint before coding
Before asking AI to create files, ask it to create a blueprint.
This should include:
what the app does
main user flows
pages or screens
data models
backend routes
security risks
what should be built first
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Example prompt:
Create a simple build blueprint for this project. Keep it practical. Split it into small milestones.
Do not start coding yet.
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This one step can save many hours later.
3. Decide the tech stack early
Do not let the AI randomly choose tools in every chat. Ask for a simple stack and confirm it before starting.
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Example prompt:
Suggest a simple tech stack for this project. I want something easy to maintain, not over-engineered. Explain why each tool is needed.
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Also check whether the versions and libraries are current. AI can sometimes suggest outdated packages or old setup commands.
4. Use Git from the start
If you are new to Git, ask AI to set it up and explain the basics.
At minimum, you should know:
how to check changed files
how to commit a working version
how to create a branch
how to go back if something breaks
This is important because AI can make a wrong change fast. Git gives you a safety net.
5. Create project rules
Add an `AGENTS.md` file or project instruction file in your project folder.
Use it to tell AI:
make minimal changes
do not rewrite working code without asking
do not create huge god files
preserve existing behavior
run tests after changes
explain security risks
ask before deleting files
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Example prompt:
Make small changes only.
Do not refactor large areas without approval.
Do not delete files unless I explicitly ask.
Preserve existing behavior.
After every major change, explain what changed and how to test it.
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This helps because AI needs stable instructions. If you do not give rules, it will make its own guesses.
6. Test after every major change
Do not wait until the whole app is built. After each meaningful feature, ask:
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Example prompt:
Run the relevant tests or build checks. If something fails, explain the failure and fix only the root cause.
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If there are no tests yet, ask AI to at least run the app and check the flow manually.
7. Check security early
Security cannot be added only at the end.
After login, database rules, file upload, payment, API key, or admin features, ask for a security review.
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Example prompt:
Review this feature for security issues.
Check data leaks, auth checks, API exposure, database access, and secret handling.
Do not change code yet. First list the risks.
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Where Memside helps
Memside was built from the same kind of frustration. When you build with AI, you keep repeating context:
what the project is
what stack you are using
what rules AI should follow
what was finished
what broke last time
what should not be touched
what the next step is
If you switch from ChatGPT to Claude, Grok, Codex, or another coding tool, you often have to explain everything again. Memside reduces that burden by giving you a place to save the important project context once and reuse it across connected AI tools.
Simple ways to use Memside for vibe coding
User AI Profile
Use User AI Profile to tell connected AI tools how you prefer to work.
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Example:
I am building projects with AI help. Act like a senior engineer.
Keep explanations simple.Make minimal changes. Do not over-engineer.
Always mention security risks when a feature touches user data.
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This helps different AI tools start with the same basic understanding of your style.
Operating rules
Use operating rules for instructions the AI should follow across the project.
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Example:
Title: Project coding rule
Do not create god files.
Keep frontend components small.
Do not rewrite working code unless needed. Preserve existing behavior.
Run build or tests before saying the task is complete.
Another example:
Title: Security rule
Any route that returns user data must check ownership.
Secret keys must never be logged.
Do not expose private user content through public endpoints.
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These rules are useful because they reduce repeated warnings in every chat.
Checkpoint memories
Use checkpoints when a task reaches a useful pause.
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Example:
Title: Project checkpoint
Built login screen and connected it to backend auth.
Email login works locally.
Pending:
- add forgot password flow
- test invalid login messages
- review session cookie settings
Next step: implement forgot password without changing the login layout.
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You do not need a new checkpoint for every small change. The same checkpoint can be updated until a major task is done.
Then in a new chat you can say:
Continue from the latest Memside checkpoint for this project.
Notes
Use notes for decisions and project details you may need later.
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Example:
Title: Project note
Use PostgreSQL for production.
Use SQLite only for local testing if needed.
Frontend should stay clean and simple.
Avoid heavy animations because the app is meant for daily work.
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This helps when a future AI chat tries to suggest something that does not match your direction.
Document summaries
If you have long planning documents, product notes, legal notes, or design references, ask AI to save a short summary.
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Example:
Title: Document summary
The product plan focuses on a simple client follow-up tracker for freelancers. The MVP has contacts, follow-up reminders, notes, and a weekly overview. Do not add invoicing or CRM automation in the first version.
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Now the AI can use the summary without rereading the whole document every time.
How to ask AI to use Memside
You can keep the commands simple.
Examples:
Save this project decision to Memside.
Create a Memside checkpoint for what we completed and what is next.
Check my Memside operating rules before changing code.
Fetch the latest Memside checkpoint and continue from there.
Review my saved Memside context and tell me what is missing before we build.
You can create memories manually too. But if Memside is connected to your AI tool, you can ask AI to save and update the context for you. Just review what it saves, especially for important project rules and security notes.
A practical vibe coding workflow
Here is a simple workflow that works well:
Brainstorm the idea in one AI.
Save the best version of the idea to Memside.
Ask another AI to challenge it.
Save the final project blueprint.
Create operating rules for coding style, security, and testing.
Build one small milestone.
Test it.
Save a checkpoint.
Continue in the same AI or switch to another AI when needed.
This keeps the project moving without making every new chat start from zero.
The real role of AI in vibe coding
Think of yourself as the architect. AI can write code, suggest fixes, create UI, debug errors, and explain confusing parts. But you decide the direction.
If you let AI make every decision, the project may move fast for a while and then become messy.
If you guide it with a blueprint, rules, checkpoints, and testing, you can build much more safely.
That is the better version of vibe coding. Not one magic prompt. A simple working rhythm.
FAQ
Is vibe coding good for beginners?
Yes, if you stay patient and build step by step. AI can help you create a project even if you are not a developer, but you still need to test changes and keep the project organized.
Can AI build my full app in one prompt?
For a tiny demo, maybe. For a serious app, usually no. It is better to use one prompt for a prototype, then build the real project in small milestones.
What should I save in Memside while coding with AI?
Save your project idea, blueprint, tech stack decisions, operating rules, security rules, and checkpoints. You do not need to save every chat message.
Can Memside help when I switch between coding AI tools?
Yes. Save the project context once, then ask another connected AI tool to fetch the relevant memory or checkpoint and continue from there.