January 18, 2025
5 min read
By Eagerminds Team

Vibe-Coding at Eagerminds

Cursor × MCP → Idea → Code → Prod. Our workflow for lightning-fast development with AI-powered tools.

Development
AI
Cursor
MCP
Workflow

Cursor × MCP → Idea → Code → Prod

1. Draft the spec, drop it into Cursor

We start every build with a crisp PRD—often just a one-pager describing the user flow and an example API call to OpenAI o3. Inside Cursor we paste those plain-English bullets and ask:

"Scaffold a TypeScript service that calls GPT-4o, streams the response,
and logs tokens to Postgres."

Cursor reads the request, spots existing files, and breathes out a working skeleton—imports, env vars, even a first-pass Dockerfile. It feels like pair-programming with a senior dev who never gets tired.

2. Lock in quality with .cursorrules

Speed only matters if the code ages well, so we ship a tiny ruleset at the repo root:

---
name: aws-cdk-best-practices.mdc
description: Best practices for AWS CDK infrastructure as code
globs: **/*.{ts,js}
---

- Use constructs for reusable components
- Implement proper dependency management
- Use environment-agnostic code with context variables
- Use Context Variables in cdk.json to define environment-specific configurations
- Retrieve the context in bin/app.ts using app.node.tryGetContext("env")
- Pass the environment configuration dynamically to your stack during deployment
- Follow the principle of least privilege for IAM roles
- Use CDK aspects for centralized policy enforcement

---
name: aws-lambda-best-practices.mdc
description: Best practices for AWS Lambda functions
globs: **/src/functions/*.{ts,js}
---

- Keep functions small and focused on a single task
- Use environment variables for configuration
- Implement proper error handling and logging
- Use async/await for asynchronous operations
- Optimize function performance with cold start considerations

---
name: postgresql-best-practices.mdc
description: Best practices for PostgreSQL database operations
globs: **/src/functions/*.{ts,js}
---

- Use connection pooling for better performance
- Implement proper transaction management
- Use parameterized queries to prevent SQL injection
- Optimize queries with appropriate indexing
- Handle database errors gracefully and retry when appropriate

View complete AWS best practices rules

Now every AI suggestion inherits our style guide; PR reviews shrink from pages to sentences.

3. Task orchestration? TaskMaster MCP

When the scaffold is ready, we launch TaskMaster MCP inside the editor. It spins up an agent that can:

  • read TODO comments, open GitHub issues, assign owners
  • queue CI runs and Slack the result
  • watch log noise and propose a CloudWatch alarm

All over a secure, local MCP channel—no extra APIs to wire. (github.com, medium.com)

4. Data layer on autopilot with Postgres MCP

For schema work we point Cursor at a running PostgreSQL MCP server. The same prompt-to-code workflow now covers migrations, index tuning, even "explain this slow query". (github.com)

5. Why it sticks

  • Zero white-board lag – idea → runnable code in minutes.
  • Uniform style – rules baked into generation.
  • Ops built-in – TaskMaster closes the loop between code and infra.
  • Future-proof – heavyweights like Amazon are piloting Cursor internally. (businessinsider.com)

6. Try the flow

Clone our public starter, open it in Cursor, add your own .cursorrules, and feel the vibe. Questions or want this in your stack? admin@eagerminds.in – we love swapping notes on fast, elegant shipping.

(c) 2025 Eagerminds – Crafted in Ahmedabad, tested in prod, written with Cursor.