EPIC blog

Configuring a Project for Your Cursor Agent

Newton Asare — Tue, 17 Feb 2026 16:29:05 GMT

Before you start coding in Cursor, your agent should understand the system it’s building against.

Without architectural context and shared memory, coding agents can drift over time. APIs evolve inconsistently, data models change unintentionally, and earlier decisions get lost as the project grows.

This guide walks through how to configure your project so Cursor has direct access to architecture and memory from day one.

This setup connects your project’s architecture and memory to Cursor using a dedicated MCP server.

Step 1: Navigate to the Integrations Page

Each project includes its own dedicated MCP server. Navigate to the Integrations page to access it.

Step 2: Connect the Project to Cursor

With one click, you can add the project’s MCP server directly to Cursor. Once connected, your agent gains access to architectural artifacts, tools, and structured project context.

Step 3: Add Project Rules

Click Create Project Rules to generate the rules file. This defines how the Cursor agent should operate within your system.

You can install the rules in the current workspace or globally across your editor to enforce consistent behavior.

Step 4: Add agents.md and Agent Skills

These provide structured instructions that help the agent properly use the MCP tools and memory bank. This ensures it interacts with architecture and project artifacts correctly.

Step 5: Start Prompting as Usual

Once everything is configured, you can prompt Cursor normally. The agent will request permission to call tools and will build against the architecture that has already been defined.

The Result.

Your coding agent no longer works in isolation. It builds against a defined system with persistent architectural memory, helping prevent drift as your codebase evolves.

This is how you move from prompt-based coding to production-grade systems.

To learn more visit: https://epic.dev/

How to install EPIC in Cursor

Newton Asare — Thu, 12 Feb 2026 16:24:31 GMT

Installing EPIC in Cursor takes less than a minute. In this guide, we’ll walk through exactly how to install the extension and get started.

EPIC is an architecture and memory layer for coding agents. It defines the system your agents build against and reduces architectural drift as your codebase scales. Once installed, EPIC works directly inside Cursor to help maintain alignment between your product requirements, architecture, APIs, data models, and implementation.

Step 1: Open the Extensions Marketplace in Cursor

Open Cursor and navigate to the Extensions Marketplace from the sidebar.

Step 2: Search for EPIC

In the search bar, type EPIC.
EPIC is a verified Cursor extension published by Reload. Verification ensures the extension is officially maintained and trusted.

Step 3: Install the Extension

Click the Install button. Cursor will automatically add EPIC to your editor.

Step 4: Access EPIC Inside Cursor

Once installed, you can access EPIC in two ways:
Open the command palette and search for EPIC.
Click the EPIC icon in the left sidebar.

From there, you can begin creating PRDs, data models, API specs, architecture diagrams, tech stack documents, and user stories directly inside your workflow.

Why Install EPIC?

As AI coding agents become more powerful, one challenge becomes more visible as projects scale: architectural drift and context loss.

Without a defined system, agents can recreate APIs inconsistently, change data models unintentionally, forget earlier architectural decisions, and drift away from product requirements.

EPIC solves this by acting as the architecture and memory layer for your coding agent. It ensures your agent builds against a defined system and retains project-level memory as your codebase evolves.

What’s Next?

After installing EPIC, the next step is connecting your project through MCP and generating your first set of architectural artifacts.

You can follow our other guides to create a PRD, generate scalable data models, build API specs, create architecture diagrams, and enable project memory.

EPIC helps you move from idea to production-grade system with clarity and alignment at every stage.

To learn more visit: https://epic.dev/

The Achilles' Heel of AI Coding: Why Your Agents Keep Forgetting the Master Plan

Newton Asare — Thu, 05 Feb 2026 18:54:44 GMT

AI coding agents like Cursor, Claude Code, and Antigravity are nothing short of revolutionary. They have accelerated development cycles, democratized coding, and empowered engineers, founders, and indie hackers to build faster than ever.

But as projects move beyond simple scripts or isolated features, a critical pain point emerges.

Context loss.
It is a scenario many teams experience.

You spend hours guiding your coding agent through the initial setup, defining core components and architectural patterns.
You step away or switch tasks within the same project.
You return and the agent has forgotten key decisions. It reinvents API endpoints, contradicts earlier data models, or violates architectural constraints.
You end up re-prompting, re-explaining, and correcting. Speed disappears. Rewrites pile up.

This is not a user problem, whether you are a senior architect or a first-time founder. It is a structural limitation.

Coding agents operate within limited context windows. As projects grow, they cannot remember the full, evolving architecture.

The Problem: Architectural Amnesia in a Scalable World
Modern software systems are inherently complex. They include:

Service boundaries
Data models
API specifications
User stories
Non-functional requirements

When a coding agent generates code without continuous access to this full blueprint, it behaves like an engineer with short-term memory loss.

The consequences are real.

Architectural drift and inconsistency across the system
Endless rewrites to realign code with original intent
Slower iteration due to constant context re-establishment
Fragile systems with hidden performance, security, and integration issues

Architectural amnesia is more than frustrating. It is a direct blocker to building production-grade, scalable software with AI.

The Solution: Giving Your Coding Agent Architecture It Remembers with EPIC
This is where EPIC comes in. EPIC provides the architectural memory layer that coding agents are missing. It transforms isolated prompts into a living, continuously available system blueprint.

Here is how EPIC ensures your coding agent always remembers the master plan.

Generate and maintain the blueprint
Before any code is written, EPIC helps define production-grade architecture, including:

Product requirements documents
Service boundaries
Data models
API specifications
User stories

This is not static documentation. It is a living system of record.

Keep architecture continuously available
EPIC keeps the full architectural context accessible throughout development. Coding agents build directly against the intended system, reducing drift as the codebase grows.

Capture agent decisions
EPIC provides a project-scoped memory layer where coding agents store:

Architectural decisions
Constraints and assumptions
Implementation details
Intermediate reasoning

The agent does not just consume context. It actively contributes to it.

Organize and restore context automatically
All architectural artifacts and coding decisions are structured, queryable, and aligned. When a new session begins, EPIC restores the relevant context automatically so work continues with full awareness of prior decisions.

Stop Rewriting. Start Building with Architectural Integrity.
EPIC changes how teams work with AI coding agents.

Instead of a loop of prompts, corrections, and rewrites, you get a continuous, architecturally aware workflow. The agent does not forget because the system memory is externalized, structured, and always present.

With EPIC, you get:

Consistent architecture across the entire project
94 percent fewer rewrites
True context awareness behind every decision
Faster iteration as systems scale
Cleaner, more maintainable system evolution

Stop battling architectural amnesia.

Empower your AI coding agents with the memory they need to build production-grade software.

Give your coding agent architecture it remembers.

Start with EPIC

Why AI-Assisted Development Without System Design Creates Technical Debt

Kiran Das — Fri, 16 Jan 2026 19:46:52 GMT

AI coding agents promise velocity. They deliver rewrites.

Cursor, Copilot, Claude Code, Lovable, they generate entire features in minutes. Describe what you want, watch code appear, ship faster than ever.

Until you don't.

Three weeks in, you're staring at a codebase that doesn't make sense. Services overlap. Data flows contradict each other. That payment feature your AI built? It created its own auth system because it didn't know yours existed. Now you have two. And a weekend of refactoring.

This is what happens when you build without a blueprint. You accumulate technical debt at AI speed.

Welcome to the failure mode of vibe coding.

The Gap Nobody Talks About

Your coding agent is powerful. But it has no memory. No context. No understanding of your system.

Every prompt starts from zero. It doesn't know:

Where your service boundaries are
How your components communicate
What your API contracts look like
Which direction dependencies flow

So it guesses. It fills in the gaps with assumptions. And those assumptions become your next rewrite.

The more you ship, the worse it gets. The codebase grows fragile. Integration points break. What felt like momentum becomes a maintenance nightmare you can't escape without starting over.

"But I Have Documentation"

No, you have artifacts.

Design docs in Notion. Architecture diagrams in Confluence. Static snapshots that were accurate the day you wrote them and wrong by the end of the week.

Code evolves. Documentation doesn't. Within a month, your diagrams bear no resemblance to the actual system. New engineers onboard without context. Developers make architectural decisions in isolation. The gap between what you designed and what you built grows until you can't close it.

Documentation isn't architecture. It's a time capsule.

What Your AI Actually Needs

Your coding agent doesn't need more prompts. It needs context.

Real system design answers these questions before you write code:

What are the service boundaries and responsibilities?
What data models exist and how do they relate?
What contracts define the integration points?
What are the dependencies and data flows?

When these answers exist upfront, explicit, structured, accessible, your AI stops guessing. It builds against something real. Code fits together because there's a blueprint to fit into.

This isn't about slowing down. It's about doing the thinking once so you don't redo the building twice.

Architecture First. Code Second.

This is where EPIC comes in.

One prompt. Full system architecture.

Describe what you're building in plain language. EPIC generates production-ready specifications: service boundaries, data models, API contracts, system diagrams. Everything you need before you touch code.

Living documentation. Always in sync.

EPIC connects to your IDE via MCP. Cursor, Claude Code, VS Code, Lovable, Windsurf, and they all pull from the same source of truth. When your architecture evolves, your agents know. When your code changes, your docs update. No drift. No stale diagrams.

Context your AI can actually use.

Your coding agent finally understands your system. It knows what exists, how things connect, where boundaries live. It stops filling gaps with guesses and starts building against real architecture.

This isn't waterfall. This is rigor without the slowdown.

The Math Is Simple

Every hour spent on architecture saves ten hours of rewrites.

Every system boundary defined upfront prevents a refactor later.

Every decision made explicit is a decision you don't have to rediscover in production.

The teams shipping fastest aren't the ones prompting fastest. They're the ones who designed first and let their AI build against something real.

Stop Discovering Design Problems After You Ship

You have two options:

Keep prompting. Keep shipping. Keep rewriting when it all falls apart.
Spend ten minutes designing your system upfront. Let EPIC generate the architecture. Give your coding agents the context they need. Ship code that actually holds together.

The first path feels fast. The second path is fast.

Design first. Build right. Start with EPIC.

Try EPIC Free → epic.dev