I’ve spent the last decade building Laravel applications, managing Docker clusters, and fine-tuning Shopify stores. For most of that time, “coding” meant one thing: translating a business requirement into a specific syntax that a machine could execute. It was a manual, linear process of writing line by line, debugging stack traces, and managing state.
But recently, the ground has shifted. We’re moving away from the era of “writing code” and into the era of “orchestrating intent.”
This transition — often playfully called vibe coding — is more than just a meme. It represents a fundamental architectural shift in how we build software, moving from sequential instruction to agentic loops powered by protocols like MCP (Model Context Protocol).
The friction of the manual syntax
The traditional development lifecycle is riddled with invisible friction. You have an idea (the “vibe”), you break it down into tasks, and then you spend 80% of your time fighting with syntax, configuration, and boilerplate.
In a standard Laravel environment, even a simple feature — say, an automated reporting tool — requires you to set up routes, controllers, service classes, and database migrations. You are the compiler. You are the architect. You are the labor.
The problem is that our human cognitive load is being consumed by the “how” rather than the “what.” We get stuck in the weeds of PHP version compatibility or Docker networking issues, losing sight of the actual user value. This manual micromanagement doesn’t scale as fast as the demands of modern business.
The agitation of the “black box” assistant
When AI first entered the scene with basic autocomplete, it felt like a shortcut. But it wasn’t a solution. We ended up with what I call “the Copilot paradox”: the AI suggests code, but you still have to copy-paste it, test it, find the error, and feed it back to the AI.
It’s a broken feedback loop. The AI is a “black box” that doesn’t actually know your system. It doesn’t know your database schema, your MCP servers, or your deployment status on Coolify. You are still the manual bridge between the AI’s logic and your local environment.
This creates a new kind of fatigue. Instead of writing code, you’re now a high-speed code reviewer, constantly context-switching between your editor and a chat interface. This isn’t “vibe coding” — it’s just accelerated manual labor.
The solution: agentic workflows and MCP
True vibe coding isn’t about being lazy; it’s about shifting your role to that of a high-level system architect. This becomes possible through agentic workflows — systems that don’t just “complete text” but “execute tasks in loops.”
The breakthrough here is the Model Context Protocol (MCP) by Anthropic. MCP acts as the “USB port” for AI. Instead of you manually giving the AI context, the AI uses an MCP client to talk directly to your tools — your PostgreSQL database, your Slack channels, or your GitHub repositories.
The shift from chains to loops
In a traditional chain, you give a prompt and get a result. In an agentic loop, the architecture looks like this:
- Intent. You describe the outcome (“build a Laravel dashboard for my Shopify sales”).
- Reasoning. The AI (like Claude) determines it needs to see the schema.
- Action. It uses an MCP tool to query the database.
- Observation. It sees a missing table and decides to create a migration.
- Correction. If the migration fails, it reads the error and fixes it itself.
I call this “intent-based engineering.” You aren’t writing the migration — you are approving the architectural decision.
Implementing the agentic stack
As an engineer who values quality, I don’t just let the “vibe” take over without guardrails. Here is how I’m currently structuring my agentic stack using Laravel and AI.
1. Defined MCP servers
I build small, dedicated MCP servers that expose only the necessary tools to the AI. This keeps the context window clean and the security tight.
// Conceptual MCP tool definition in a PHP environment
public function defineTools(): array
{
return [
'get_database_schema' => [
'description' => 'Retrieves the structure of the Laravel application tables.',
'parameters' => [],
],
'run_artisan_command' => [
'description' => 'Executes an artisan command safely.',
'parameters' => ['command' => 'string'],
],
];
}2. Stateful loops
Instead of one-off chats, I use tools like Cursor, Claude Code, or Windsurf that maintain a stateful connection to my local file system. This allows the agent to “see” the impact of its changes in real-time, just like a human developer would.
3. The human-in-the-loop (HITL)
The most important part of the architecture is the review gate. Even with agentic loops, the human architect must sign off on the “plan” before the “action” phase. This ensures the PHP logic follows clean architecture principles rather than just “making it work.”
The takeaway for the modern founder
If you’re a founder or a CTO, the takeaway is simple: stop hiring for syntax and start hiring for system design. The technical barrier is collapsing, but the architectural stakes are higher than ever.
- Embrace the vibe. Focus on the intent and the user experience.
- Invest in infrastructure. Build the MCP connections and the data pipelines that allow AI to be effective.
- Think in loops. Design your internal processes so that AI can iterate autonomously, reducing your bottleneck role.
At Ansezz, I’m not just building apps anymore — I’m building agent-ready ecosystems. Whether it’s a complex Shopify integration or a custom SaaS, I ensure the architecture is ready for the agentic future.
The code might be generated, but the vision is entirely yours.
Are you ready to stop writing code and start orchestrating your intent? Get in touch — let’s design your agent stack together.
