What You Get

When you work with us, you don’t just get an AI agent installed. You get a hardened, repeatable development environment on your own VPS, a documented workflow for building projects, and direct guidance from someone who has set this up before — so you skip the trial-and-error.

Step 1: VPS Selection

Before we start, you’ll need a VPS. If you already have one, great. If not, we’ll help you pick.

What to look for: Any provider with a clean Ubuntu 22.04/24.04 image works. Recommended options include DigitalOcean, Vultr, Hostinger, or Hetzner. A basic plan (2 GB RAM, 2 vCPU, 50 GB SSD) is sufficient for most projects — typically around ~$10-12/month (~₹8,000-10,000/year).

Step 2: Security Baseline

We lock down your VPS before anything else runs on it. This is the same baseline we’d apply to any production server:

• SSH key-only authentication (password login disabled)
• UFW firewall configured (SSH, HTTP, HTTPS only)
• Automatic security updates enabled
• Fail2ban for brute force protection
• System audit logging

Step 3: Workflow Installation

Next, we set up the AI developer agent workflow on your VPS. This includes:

• Runtime environment (Node.js, Python, or as needed for your project)
• Project repository initialized with a clear directory structure
• Environment variables and secrets management
• A repeatable workflow: spec → task generation → code → test → deploy
• Staging and production deployment approach
• Basic monitoring and logging
• Handover documentation so you can run, deploy, and extend everything yourself

Step 4: Build with Support

Once the agent is running, you’re in the driver’s seat. You describe what you want built, the agent generates code, and we guide you through:

• Writing good specs that produce useful output
• Reviewing generated code for correctness and security
• Debugging when something doesn’t work
• Deploying to production when ready

Support is delivered through structured calls and checkpoints — not an open chat where you’re left guessing.

Limitations & Realistic Expectations

The AI developer agent is a powerful tool, but it’s not magic. Here’s what to keep in mind:

• The agent works best on well-defined, scoped tasks. Vague requests produce unusable output.
• You need to review generated code — especially before deploying to production.
• Complex integrations (multi-service, custom APIs) may require additional guidance or a done-for-you approach.
• The agent isn’t a replacement for a senior engineer on large, complex platforms. It’s a force multiplier for focused builds.