TL;DR: Before we dive into Context Management, make sure you've already set your Part 1: PRD Strategy and your Part 2: Git Safety Net. Without those, your context will collapse into chaos anyway.
As your project grows, the AI starts to get "foggy." It forgets your database schema, hallucinates variables, and begins breaking its own code. To stop this Context Collapse, you need to move from a "giant ball of clay" to "LEGO bricks." In Part 3, we cover:
Modularization to keep files clean,
Global Project Rules for consistency, and
Minimum Cost Vibe Coding by rotating between AI agents and different models to build professional systems without burning your budget.
Welcome👋🏻
I’ve decided to start this Vibe Coding series to share my perspective as a software engineer. My goal is to close the gap between the technical and the non-technical, making these concepts accessible to everyone, regardless of their background.
Enjoy the Part 3 of a 5 part series!
In the beginning, vibe coding is pure magic. You ask for a feature, and it appears. But around the 30th file, something shifts.
The AI starts suggesting “fixes” that undo the work you did yesterday. It uses an old database schema you specifically told it to abandon. It starts introducing bugs in parts of the app you haven’t touched in hours.
No, you are not failing, and no, AI’s intelligence is also not failing.
It’s a failure of Context Management.
In engineering, we know that the more “state” a system has, the harder it is to reason about. In vibe coding, the “Context Window” is the AI’s current field of vision. If you fill that vision with noise, the AI loses the signal.
To move from “weekend toy” to “real product,” you have to stop dumping everything into the chat and start curating the vibe.
What Is Context Collapse in Vibe Coding?
The LLM (Large Language Model) doesn’t “know” your project the way a human does. It reads a slice of it every time you send a prompt.
When your project gets too big, two things happen:
The Middle is Lost: LLMs are great at remembering the beginning and end of a prompt, but they get “foggy” in the middle.
Noise Overload: If you have 50 files and 10 of them are outdated prototypes, the AI might grab code from the wrong file to solve a new problem.
The Solution: You must treat your codebase like a set of LEGO bricks, not a giant ball of clay.
Or, in software engineering, we call it “monolith”, but you really need to make it modular, which brings us to our next topic.
Modular Code: Keep Files Under 200 Lines
A “No-BS” rule for vibe coding: If a file is more than 200 lines long, it’s a liability.
When the AI generates a “monolith”, it becomes impossible for the AI to “read” the whole thing without hitting its limit.
The Pivot: Break your code into small, single-purpose files.
Auth.tsxshould only handle login.PricingCard.tsxshould only handle the visual card.database.tsshould only handle the connection.
Practical Tip: If you see the AI writing a massive file, stop it. Say:
Break this feature into modular components. Create separate files for the logic and the UI.Small files are easier for the AI to ingest, understand, and fix without side effects.
Project Rules: Your AI's Configuration File
Whether you are using Claude Code or Cursor, you need a way to enforce “Constitutional Law” for your project. Instead of telling the AI “use Tailwind CSS” in every single prompt, you write it once in a configuration file.
When I use Claude Code, I add the rules in Claude.md file. You can also tell Claude to not add API Keys to codebase in Claude.md file, but there are more robust ways to protect them, you can check it out my other article about safe vibe coding.
What to enforce:
Tech Stack: “Always use Next.js with TypeScript.”
Coding Style: “Prefer functional components. No classes.”
Project Structure: “Always put API routes in the /api folder.”
By setting these global rules, you “pre-load” the AI with the correct context before you even type a word. It keeps the “vibe” consistent across every file it generates.
Curate AI Context with Claude Code Prompts
The biggest mistake vibe coders make is letting the AI “read everything” for every single small change. If you’re fixing a typo on the Landing Page, the AI doesn’t need to see your Stripe integration logic.
If you are using Claude Code, you have surgical control over what the AI sees.
How to Curate:
Be Specific in Your Command: Instead of saying “fix the landing page”, which might cause the agent to wander through your entire directory, use:
Refactor the header in src/components/LandingPage.tsx. Do not look at other files unless necessary.The “ReadOnly” Guardrail: If you want Claude to use a specific file as a reference but not change it, tell it explicitly. This prevents the AI from “hallucinating” improvements on code that is already working perfectly.
The Context Reset: Conversations in Claude Code can get bloated with terminal outputs and previous failed attempts. If you’ve spent 20 minutes stuck on one bug, exit and restart the session. This wipes the “fog” of previous errors and lets the AI look at the current state of the files with fresh eyes.
Cost-Effective Vibe Coding: The Model Rotation Strategy
Vibe coding can be really expensive. If you treat every bug fix like a high-stakes architectural decision, you will burn money quite fast.
To stay sustainable, you need to match the tool’s “IQ” to the task’s complexity.
The “Free” Giant: Google Antigravity
As of early 2026, Google Antigravity is the ultimate hack for cost-effective vibing. Because it’s in Public Preview, Google is offering it for free with incredibly generous rate limits.
The Vibe: It’s an “agent-first” platform. Instead of just autocompleting lines, it spawns agents to handle the “dirty work”: testing, browsing, and multi-file refactoring without you paying for every token.
When to use it: Use it for the heavy lifting that would normally drain your Claude or OpenAI credits. It’s perfect for the “middle phase” of a project where you need a lot of autonomous execution.
I have recently started to use Google Antigravity, I find it quite good on UI-related works, rather than backend.
The Claude “Token Arbitrage” Tier List
When you aren’t using Antigravity, or if you prefer the “surgical” reasoning of Claude, use this rotation to save money:
The No-BS Bottom Line:
If you’re on a budget, your workflow should look like this:
Plan with Claude Opus (The Architect).
Execute the bulk work in Google Antigravity (The Free Workforce).
Refine or fix small bugs with Claude Haiku or Gemini Flash.
By rotating your tools, you move from “spending money to code” to orchestrating resources to build.
PS: If you want to understand more about how AI tokens work, you can read They say AI is for Everyone. But It Thinks in English.
The Human Element: You are the Information Architect
We call this “vibe coding,” but really, it is Information Orchestration. The AI is a Ferrari, but context is the road. If the road is full of potholes (messy files) and dead ends (outdated code), the Ferrari can’t go fast.
Your job isn’t just to “prompt”; your job is to clean the workspace. By keeping files small, rules clear, and context focused, you ensure the AI is always operating at its highest “IQ.”
But managing context is only half the battle. To prevent your app from decaying into Vibe Rot, you must adopt the practices I’ve outlined in Part 4: Test-Driven Vibing (TDV). This is where we bridge the gap between 'vibing' and real engineering.
It’s like these articles of yours have been watching along with my work. I was training my AI in becoming a monolith expert but with your article in mind you saved me draining my bank account with that expensive Opus gold.
An amazing read as always 🔥