Vibe Coding Project Management: Keep AI Context Across Sessions
Learn what vibe coding means and how to preserve project context across GitHub, Figma, Notion, Codex, and Claude Code with a shared project history.
ProductEngineering
Creating the first screen with vibe coding is fast. Describe a feature in natural language and tools such as Codex, Claude Code, and Cursor can generate and revise the code. Once a project lasts more than a few days, a larger problem appears: the AI does not automatically remember yesterday's decisions together with today's changes.
💡 Short answer: Snapside helps vibe coding by connecting implementation in GitHub, design in Figma, decisions in Notion, and files in Google Drive into one project history that Codex and Claude can read when they need context.
What is vibe coding?
Vibe coding is a way to build software by describing the desired feature and result in natural language, then running, reviewing, and revising AI-generated code. People spend less time typing every piece of syntax and more time defining the goal, judging the result, testing, and choosing the direction.
Useful skills go beyond writing a long prompt:
Explain clearly what you are building now.
Make earlier decisions available to the AI.
Find mismatches between design, documents, and code.
Test and review generated results.
Continue in the same direction in the next session.
A single prototype may fit inside one conversation. As authentication, payments, localization, responsive layouts, and integrations are added, the project context no longer fits inside one chat.
Faster vibe coding scatters context faster
The source of truth is divided across tools:
Notion holds requirements and decisions.
Figma holds screens and user flows.
GitHub holds code, commits, and pull requests.
Google Drive holds research and operating documents.
Vercel holds deployment results.
You might build authentication with Claude Code on Monday, revise the mobile design in Figma on Tuesday, and fix an error with Codex on Wednesday. Each tool keeps a record, but the next AI does not automatically understand the whole sequence.
That is why people repeat explanations such as: “Login supports Google and GitHub. We changed mobile navigation yesterday. The free-plan limit is in Notion. Implement the latest Figma design.”
Why Git commits are not enough for project management
GitHub is essential for understanding what was implemented. Code alone does not always answer:
Why did the spacing on this screen change?
Which user problem caused the requirement to change?
Did the Figma design change before the implementation?
Which proposal was rejected, and what was the final decision?
Which documents and operational materials changed before deployment?
Putting every piece of context in a commit message is not practical. Design changes belong in Figma, planning decisions in Notion, and operating data in Drive. The missing layer is a project history that reconnects those records on the same timeline.
What you need is external project memory
Conversation memory helps continue one session. Project memory must preserve facts across tools and sessions:
The current product structure
Recently changed features and screens
Important decisions and their reasons
Related designs, documents, and deployments
Unresolved issues
Work completed by the AI today
Snapside does not require you to rewrite all of this in one giant document. Continue working in GitHub, Figma, Notion, and Google Drive; connected activity is collected in a project timeline.
MCP is an open protocol that standardizes how AI applications connect to external data and tools. See the official MCP introduction and Claude Code MCP documentation.
How Snapside connects a vibe coding workflow
Connect the tools used by the project
Connect the GitHub repository, Figma file, Notion pages, and Google Drive files or folders used by the project. Select the scope the project needs instead of importing every account and file.
2. Review changes on one timeline
Commits, design changes, document updates, file edits, and deployments can be reviewed on the same time axis:
10:00 — Free-plan requirement changed in Notion
11:00 — Pricing screen revised in Figma
14:00 — Usage-limit logic committed to GitHub
16:00 — Mobile error fixed
18:00 — Production deployment on Vercel
A timeline does not prove causality by itself. It narrows down what changed together and when. Add a note or comment to important events to preserve the reason behind a change.
3. Let Codex and Claude read only the context they need
You do not need to paste the entire project history into every prompt. With Snapside MCP, an AI can retrieve a task-relevant range:
“Summarize last week's Figma changes, Notion decisions, and GitHub commits related to authentication.”
“Find mobile changes since the last deployment and create a test plan.”
“Read what Claude Code completed yesterday and continue with the remaining issues.”
“Summarize today's project changes and record the important decisions.”
“Find related designs and previous decisions before implementing this feature.”
The goal is selective retrieval of searches, recent changes, decisions, and design updates instead of sending the whole timeline every time.
Keep context when switching between Codex and Claude Code
Claude Code implements a feature.
The session and related commits are recorded in the Snapside project.
You leave a short note on the decision.
The next day, Codex retrieves recent changes and decisions through MCP.
Codex continues with tests or follow-up changes using the same context.
The new work returns to project history.
This keeps shared memory outside any single model so multiple AI tools can read and contribute to the same project context.
When Snapside is especially useful
Returning to a project after a week
Review changes since your last visit in chronological order instead of searching chat lists and commits one by one.
Turning a Figma design into code
Review when the design changed alongside related documents and implementation records. This reduces the chance of building from an outdated frame or requirement.
Switching AI tools
Moving between Codex and Claude Code does not have to reset the project's recent changes and decisions.
Summarizing today's work
Group design, document, code, and deployment activity into work that people can understand. The result can support retrospectives, build-in-public updates, and team sharing.
Vibe coding project management checklist
Connect the GitHub repository and write meaningful commit messages.
Connect only the Figma files used as the implementation reference.
Select the Notion pages where decisions are recorded.
Add a short “why” note to important changes.
Ask a new AI session to retrieve recent changes and related decisions first.
This is not documentation work that slows development. It turns activity that already happened into reusable context.
Frequently asked questions
What does vibe coding mean?
Vibe coding means describing a feature in natural language and building software by running, reviewing, and revising AI-generated code. People focus on goals, evaluation, testing, and direction.
Does vibe coding require project management?
A short experiment may not. A project with multiple screens, external APIs, payments, authentication, and deployments needs a record of decisions and changes so the AI can work consistently.
Are GitHub commits enough?
They explain code changes, but not every Figma revision, Notion decision, Drive file, or deployment sequence. Snapside keeps Git and connects it with records from other tools.
Does Snapside write source code?
No. Coding tools such as Codex and Claude Code implement the software. Snapside provides history and context so they can understand what happened and continue the work.
Can Codex and Claude Code share the same project context?
When both tools connect to the same Snapside project through MCP, each can retrieve allowed recent changes and decisions. This does not automatically expose one AI's entire private conversation to the other.
Is every project record sent to the AI?
No. Connect only the tools and materials you need, and retrieve the range relevant to the current task. For sensitive projects, minimize connection scope and permissions and review external data policies.
After building fast, preserve the context
Vibe coding turns ideas into products quickly. As the project grows, the lasting advantage is the ability to continue building the same product in the next session.
Implementation remains in GitHub, design in Figma, and decisions in Notion. Snapside reconnects those changes into project history so Codex and Claude can read the context they need.
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