How I Build 🔗

Most developers take months to build what I can show good results for in weeks. Here’s how — and how your team can do it too.

The Philosophy: AI-Augmented Everything 🔗

I don’t just write code. I orchestrate AI tools, automations, and workflows to eliminate manual work at every step.

The approach:

  • Heavy integration of AI tooling throughout the development workflow
  • Predefined automation workflows that accelerate repetitive tasks
  • AI tools for building, deploying, analyzing, and automating
  • Tight feedback loops between ideas, code, and deployment

This isn’t about “AI generates code and I copy-paste it.” It’s about building systems where AI, automation, and human expertise work together seamlessly.

Real Examples from Rudys.AI 🔗

Here’s how we actually work day-to-day on production systems:

Example 1: Telegram → GitHub → Auto-Deploy 🔗

The Problem: Task management and deployment is slow and manual.

The Solution:

  1. Team uses a Telegram bot in our group chat
  2. Anyone mentions the bot to create a task → automatically added to to-do list
  3. Task syncs to GitHub as an issue
  4. Claude Code (AI assistant) listens for new GitHub issues
  5. Claude Code automatically builds a solution, creates a PR, ready for review
  6. Review → merge → auto-deploy

Result: From idea to deployable code in minutes, not days.

Example 2: User Feedback → Auto-Implementation 🔗

The Problem: User feedback gets lost in emails or chat. Implementation is delayed.

The Solution:

  1. User clicks “Submit Feedback” button in the app
  2. Feedback saved to internal admin dashboard
  3. Automatically creates a GitHub issue
  4. Claude Code picks up the issue and generates a PR with the fix/feature
  5. Review → merge → ship to production

Result: Feedback loop from customer to production in hours, not weeks.

Example 3: Deployment Automation 🔗

The Problem: Manual deployments are error-prone and slow.

The Solution:

  • N8N workflows automate deployment pipelines
  • Pre-configured scripts for common deployment scenarios
  • Automated testing and rollback procedures
  • One-click deploy to production

Result: Deploy multiple times per day with confidence.

The Tools in My Stack 🔗

AI-Powered Development:

  • Claude Code - AI pair programmer that writes, reviews, and deploys code
  • GitHub Copilot - Code completion and suggestions
  • AI for documentation - Auto-generated docs from code

Workflow Automation:

  • N8N - Visual workflow automation (replaces hours of manual work)
  • Telegram Bots - Team coordination and task management
  • GitHub Actions - CI/CD automation
  • Custom scripts - Predefined workflows for common tasks

Fast Development:

  • Modern frameworks (Next.js, FastAPI, Django)
  • Component libraries and templates
  • Database tools with quick setup (SQLite, PostgreSQL)
  • API-first architecture

Why This Matters for You 🔗

When you hire me, you’re not just getting a developer. You’re getting:

  1. Speed - AI-augmented workflows mean 3-5x faster delivery
  2. Quality - Automation reduces human error
  3. Modern approach - You get the same workflows and tools I use
  4. Knowledge transfer - I hand off working automation, not just code

The Trade-offs 🔗

This approach is great for:

  • MVPs and fast iteration
  • Internal tools that need to ship quickly
  • Teams that value speed over perfection
  • Projects with clear, well-defined scope

This approach is NOT for:

  • Projects requiring months of careful planning
  • Enterprise compliance and audit trails
  • Teams that don’t trust AI-assisted development
  • Poorly defined or constantly changing scope

The Bottom Line 🔗

I can show good results in weeks what takes others months because I’ve eliminated the slow parts:

  • No endless meetings (automation handles coordination)
  • No manual deployments (workflows handle it)
  • No repetitive coding (AI handles boilerplate)
  • No slow feedback loops (systems connect everything)

The result? You get working software faster, and you can iterate sooner.

Your Engineering Team Can Do This Too 🔗

Is your team slow? Most engineering teams are burning runway on manual processes and outdated workflows.

I teach CTOs and engineering teams how to adopt these same AI-augmented workflows. Your team can go from 3-week sprints to shipping features in 3-5 days.

Training format: 4 hands-on sessions over 2-4 weeks. We build real automations for your business. No theory, just practical workflows your team will use daily.

Learn About Training →

Ready to move fast?

See My Services → | Book a 30-Minute Call | See What I’ve Built