Vibe coding is building software with an AI model as the primary code writer, while you direct the work — defining requirements, giving context, reviewing output and deciding what is correct. At Orbynex Academy it is taught as an engineering discipline: you are responsible for every line that ships, whether you typed it or not.

Do I need to know programming before joining?

You need basic computer and web familiarity, not programming experience. That said, this is not a way to avoid learning software. You will read, debug and refactor code every week — the AI writes faster, it does not remove the need to understand what it wrote.

How is this different from the 5-month Full Stack program?

The 5-month AI-Powered Full Stack Developer Program builds a software engineering foundation — web, backend, mobile, databases, architecture and deployment from first principles. This 3-month program is about AI-accelerated product development: using AI coding tools to design, build, ship and sell real products. They complement each other, and neither is a subset of the other.

Which AI coding tools do you teach?

You work across assistants (ChatGPT, Claude, Gemini), coding agents (Claude Code, OpenAI Codex, Cursor, Windsurf), in-editor assistance (GitHub Copilot) and AI design tools. The course is deliberately tool-agnostic: no week is built around one product. What is taught is which tool suits which stage, and the prompting, context engineering and review skills that transfer to whatever replaces them.

How long is the program and where is it held?

Three months, at the Orbynex Academy centres in Valanchery and Tirur in Malappuram district, Kerala, with the option to join the same batch online. Sessions are hands-on either way: you spend far more time building than watching.

What will I have finished with?

Two to three portfolio projects, one complete product deployed live, GitHub repositories with real commit history, a professional portfolio with case studies, an updated LinkedIn and an ATS-friendly resume, plus proposal templates and a pricing approach for client work.

Will I get a job or freelance clients after this?

We do not promise either, and we would not trust a course that did. What the program provides is a shipped product, a portfolio that stands up to scrutiny, and a practical framework for finding and scoping client work. Outcomes depend on your work and the market.

Is there a fee for the demo class?

No. The demo class is free and there is no obligation to enrol. The course fee and payment options, including installments, are covered at the demo or on WhatsApp at +91 70127 37250.

3-Month Offline & Online Program

From idea to production with AI

Master modern AI coding tools — from ChatGPT, Claude and Codex to Copilot and AI coding agents — and learn how to turn ideas into production-ready products.

Offline & online
Ship a real product
Portfolio & freelancing
Valanchery & Tirur

Book free demo class Chat on WhatsApp

Duration: 3 months
Mode: Offline & Online
Format: Practical
Locations: Valanchery & Tirur

The premise

AI writes the code. You stay responsible for it.

This is not a traditional programming course, and it is not a shortcut around understanding software. It teaches you to direct AI coding tools through a full product — and to judge whether what comes back is actually correct.

“AI is a development accelerator, not a replacement for engineering judgement.”
Every week you generate code, then read it, review it, break it and fix it. The habit the program is really building is the reflex to check.

What this program is not

Not a course in generating code you cannot read
Not a promise that AI removes the need to understand software
Not a replacement for the 5-month engineering foundation
Not a guarantee of a job or freelance income

The toolchain

Not one tool. A workflow across all of them.

Learn a modern AI-assisted development workflow that works across the tools developers use today — and the ones that replace them.

AI assistants

Thinking work — requirements, planning, architecture, review and documentation.

ChatGPTPlanning & review
ClaudeArchitecture & long context
GeminiResearch & alternatives

AI coding agents

Doing work — implementing features, refactoring and debugging inside a real codebase.

Claude CodeAgentic implementation
OpenAI CodexTask automation
CursorEditor-native agent
GitHub CopilotIn-editor assistance
WindsurfAgentic IDE

AI for design & UI

Turning a rough idea into a layout worth building, before a line of code is written.

Figma AILayout & design systems
AI UI generationFirst-pass interfaces
ChatGPT / ClaudeCopy & UX critique

Which tool, and when

No single tool covers the pipeline. Knowing where each one is strong — and moving between them without losing context — is the skill that survives the next release.

01
Requirement
- You
Understand the problem before any model touches it. Nothing downstream fixes a misread requirement.
02
Planning & PRD
- ChatGPT
- Claude
- Gemini
Turn the requirement into scope, a PRD and an architecture you can defend.
03
Implementation
- Cursor
- Claude Code
- Codex
Agents work inside the codebase — building features, refactoring and fixing against real files.
04
In-editor assist
- GitHub Copilot
Line-level completion while you work, for the small edits an agent is overkill for.
05
Review & tests
- ChatGPT
- Claude
A second model reviews the first one's output. Catching a confident mistake is the whole job.
06
Docs & deploy
- Assistant
- Vercel
Documentation that explains intent, then a live deployment on a real domain.

And the stack underneath

AI writes a lot of it, but you still ship a real application — so you still need to know what it is made of.

AI coding tools

Taught as workflow, not button-by-button — these tools change every few months.

Claude Code
Cursor
GitHub Copilot
AI coding agents

Prompt & context

The actual skill: giving a model enough context to be useful and judging what comes back.

Prompt engineering
Context engineering
Rules & instruction files
Iterative prompting
Review prompts

Frontend

Interfaces that stay consistent and accessible when a machine writes most of them.

HTML
CSS
JavaScript
React
Next.js
Tailwind CSS

Backend & data

APIs and schemas you can defend, not just accept.

Node.js
NestJS / Express
REST APIs
PostgreSQL
Prisma
Auth

Ship it

Getting a product onto a real domain and keeping it running.

Git & GitHub
Vercel
Docker basics
Environments
SSL & domains

Product & business

The half of freelancing that has nothing to do with code.

PRDs
Estimation
Proposals
Pricing
Client communication

Curriculum

Twelve weeks, twelve things shipped

Three phases: learn to direct AI, build real products, then ship and sell. Every week ends in something committed to GitHub — the assignments are listed so you can judge the workload before you commit.

Month 1

AI Development Fundamentals

Learn how to direct an AI coding tool and how to judge what it gives back. Nothing here is about typing faster — it is about knowing what to ask for and whether the answer is right.

Week 1
Introduction to AI-Powered Development
What AI-assisted development actually is, where it helps, and — more importantly — where it fails.
- AI-assisted development
- What vibe coding means
- Traditional vs AI-assisted workflow
- Where AI helps
- Where AI fails
- Hallucinations
- Reading AI-generated code
- Developer responsibility
- SDLC with AI
Assignment · Take a small feature spec, generate it with AI, then write a short review noting every line you could not explain.
Week 2
Prompt Engineering for Developers
Developer-focused prompting: requirements, constraints, expected output, and splitting work into prompts an AI can actually complete.
- Effective development prompts
- Giving context
- Defining requirements
- Constraints & specifications
- Breaking large tasks down
- Iterative prompting
- Debugging prompts
- Refactoring prompts
- Code-review prompts
Assignment · Build a prompt library for one feature: generation, debugging, refactor and review — and document which produced usable output.
Week 3
Context Engineering & Choosing the Right Tool
Feeding a tool the project, architecture, file and business context it needs — and knowing which tool to reach for at each stage rather than forcing one to do everything.
- Project & architecture context
- File & codebase context
- Business context
- Coding conventions & rules files
- Matching tool to task
- Assistants vs agents vs in-editor
- Agent workflows
- Terminal & Git integration
- Switching tools without losing context
Assignment · Run one feature through the full chain — plan in an assistant, build with an agent, review in a second model — and record where each tool helped or got in the way.
Week 4
AI + Git & GitHub Workflow
Working safely with generated code: branches, small commits, reviewable pull requests, and documentation that explains intent.
- Git fundamentals
- Branches & commits
- Pull requests
- Issues
- README & docs
- AI-assisted commits
- AI-assisted documentation
- Code review
- Working safely with generated code
Assignment · Ship a feature as a reviewed pull request with a written description, and review a classmate's PR line by line.

By the end of Month 1: You can take an idea, write requirements, plan the work, give an AI proper context, generate and modify code, review the output, debug it, and keep it all in Git.

Month 2

Build Real Products

The building month. Far more time at the keyboard than in front of slides — you are producing applications, not following along.

Week 5
AI-Assisted Frontend Development
Generating interfaces that stay consistent, accessible and maintainable rather than a pile of one-off components.
- UI planning & wireframes
- Design systems
- Responsive layouts
- Components & composition
- Forms & validation
- Dashboards, tables, modals
- Navigation
- API integration
- Accessibility basics
Assignment · Build a dashboard with a real data table, a form and a modal — then refactor the AI output into reusable components.
Week 6
AI-Assisted Backend Development
Server-side work you can defend: routes, services, validation, auth and error handling you understand line by line.
- Backend architecture
- REST APIs & routes
- Controllers & services
- Validation
- Authentication
- Authorization
- Error handling
- Database integration & CRUD
- API documentation
Assignment · Build an authenticated CRUD API, then annotate each generated file explaining what it does and why it is structured that way.
Week 7
Databases, APIs & Integrations
Asking an AI to design a schema, explain the design, generate migrations, then verifying the result against your own reasoning.
- Database planning
- Schema design & relationships
- PostgreSQL
- Prisma & migrations
- Third-party APIs
- Authentication flows
- File uploads
- Payment API concepts
- Environment variables & secrets
Assignment · Design a schema for your product idea, have AI critique it, then defend or change each decision in writing.
Week 8
Debugging, Testing & Code Quality
The most important week. Code that runs is not code that is correct — this is where you learn to distrust output that looks fine.
- Debugging generated code
- Reading error messages
- Browser DevTools
- API & database debugging
- AI-assisted debugging
- Unit testing basics
- Integration testing concepts
- Refactoring & dead code
- Dependency & security awareness
Assignment · Take a deliberately broken AI-generated app, find and fix every defect, and write tests that would have caught them.

By the end of Month 2: Two to three working projects, each in a GitHub repository with a live deployment and documentation, built with AI across the whole lifecycle.

Month 3

Ship, Portfolio & Freelance

Turning technical ability into professional capability. A working product nobody can find, understand or buy is not yet an outcome.

Week 9
Production & Deployment
The gap between 'works on my machine' and 'works for users' — environments, builds, domains, and what breaks in production.
- Development vs production
- Environment variables
- Build process
- Domains & SSL
- Vercel hosting
- VPS & Docker basics
- Database deployment
- Deployment troubleshooting
- Performance & security basics
Assignment · Deploy a project to a live domain with production environment variables, then break it on purpose and fix it.
Week 10
Final Product / SaaS Build
One real product, taken from problem statement through PRD, architecture, database, UI, build, testing and launch.
- Problem definition
- Requirements & PRD
- Architecture decisions
- Database design
- UI/UX
- AI-assisted development
- Testing
- Security review
- Deployment
Assignment · Ship your chosen product live, and be able to explain every technical decision without notes.
Week 11
Portfolio, GitHub, LinkedIn & Resume
Presenting the work so that someone who has never met you can judge it in ninety seconds.
- Portfolio structure
- Project case studies
- Live demos
- GitHub profile README
- Repository structure & pinned repos
- LinkedIn headline & about
- Featured section
- ATS-friendly resume
- Writing project descriptions
Assignment · Publish a portfolio with two full case studies — problem, solution, features, stack, screenshots, demo, repo, challenges, what you learned.
Week 12
Freelancing & Client Acquisition
How real project work starts and ends: scoping, estimating, quoting, communicating, delivering and getting paid.
- Finding clients & outreach
- Requirement gathering
- Scope definition
- Estimation
- Proposals
- Pricing models
- Agreements & advances
- Handling revisions & scope creep
- Delivery, support & referrals
Assignment · Write a full proposal for a real local business, priced three ways, and role-play the client call end to end.

By the end of Month 3: One complete product live on the internet, a portfolio and case study, a credible GitHub and LinkedIn presence, an ATS-friendly resume, and a working approach to client conversations.

Your final product

One product, taken all the way

In month three you pick a real idea and take it through the whole pipeline. These are the categories students usually choose from — the requirement is that it solves a problem you can explain.

How the build runs

Idea
Problem
Requirements
PRD
Architecture
Database
UI/UX
Development
Testing
Security
Deployment
Live product

SaaS Application

A subscription product with accounts, roles and billing concepts — the archetype most students pick.

Multi-tenant
Auth
Dashboards

CRM / Business Tool

Contacts, pipelines, follow-ups and reporting for a real business process you understand.

Data modelling
Reports
Roles

E-Commerce Platform

Catalogue, cart, checkout and orders, with the payment flow treated as a real integration.

Catalogue
Checkout
Payments

Booking Platform

Availability, scheduling, confirmations and cancellations — deceptively hard state to model.

Scheduling
Conflicts
Notifications

Inventory System

Stock, movements and reconciliation, the kind of tool local businesses actually pay for.

Transactions
Audit trail
Reports

AI-Powered Application

A product whose core feature is a language model — prompt design, streaming and sensible fallbacks.

LLM APIs
Streaming
Guardrails

Why this program

Built around shipping, not watching

The difference between someone who can prompt an AI and someone who can deliver a product is judgement, review and follow-through. That is what the three months are spent on.

Judgement, not autocomplete

Every week you review, debug and refactor generated code. You leave able to tell good AI output from plausible-looking output.

You ship a real product

Not exercises. One product of your choosing, deployed to a live domain, that you can demo and defend.

Mentors who ship

Code review and architecture guidance from developers building and maintaining Orbynex's own products.

The business half

Portfolio, GitHub, LinkedIn, resume, proposals, estimation and client conversations — the part most courses skip.

How it's taught

A studio, not a classroom

You attempt problems first, discuss them with your batch, and bring what is left to a mentor. Struggling productively is the part that builds capability — but you are never left stuck alone.

Structured roadmap

A clear week-by-week path, so you always know what you are meant to be building.

Attempt it yourself

You try first. Struggling productively is the part that actually builds capability.

Community & peers

A discussion channel where blockers get worked through with the rest of your batch.

Mentor review

Weekly sessions plus code and project review — scheduled, not only when you are stuck.

Scheduled mentor touchpoints

Regular, not only on request — so problems surface before they become blockers.

Weekly mentor session
Weekly code & project review
Community discussion channel
Monthly career session
Final project review

When a mentor steps in

You try first. A mentor takes over when the problem is bigger than practice.

You are critically blocked
An architecture decision is needed
A security issue appears
Debugging has become complex
Project direction is unclear
Professional guidance is needed

How you're assessed

Measured in shipped work

There is no written exam. You are assessed on what you built, whether you can explain it, and whether it holds up to review.

Weeks 1–12

Weekly assignment

Each week ends in something committed to GitHub. Reviewed against whether you can explain it, not whether it merely runs.

Weekly

Code review

A mentor reads your pull requests the way a team lead would — structure, naming, edge cases, security.

End of Month 1 and 2

Project checkpoints

A short walkthrough of what you built, why, and what you would change. Progress is measured in shipped work.

Week 12

Final presentation

Problem, solution, product, architecture, AI workflow, challenges, live demo, repository and future improvements.

Client work

The half of freelancing that isn't code

Scoping, estimating, quoting, communicating and getting paid. Week twelve walks the full pipeline, and you leave with proposal templates and a pricing approach — not a promise of income.

From first contact to referral

Find client
Contact
Requirements
Scope
Estimate
Proposal
Agreement
Advance
Build
Demo
Revisions
Delivery
Support
Referral

What you leave with

A product, a portfolio, and a way to sell them

Three months on, the work should speak for you before you do.

Technical

2–3 portfolio projects
1 complete final product
Live deployments
GitHub repositories
AI-assisted development experience

Professional

Professional portfolio
LinkedIn profile
ATS-friendly resume
GitHub profile
Project case studies

Freelancing

Proposal templates
Pricing approach
Client communication framework
Outreach strategy
Project estimation basics

What's included

What you get for the three months

Sessions, reviews, community, projects and the professional preparation that turns them into opportunities.

What the program includes

Everything from first prompt to a live product and a paying enquiry

3 months of practical, offline sessions
Weekly mentor session and code review
Community discussion channel
2–3 portfolio projects plus one final product
Portfolio, GitHub, LinkedIn and resume preparation
Proposal templates and pricing guidance

Fee

Fee and payment options are covered at the free demo class. Installment options across the three months are available — we will walk you through them in person, along with what the batch schedule looks like.

Batches are kept small so every student gets direct mentor time during project work.

Book free demo class Ask about fees

Free demo class

See the workflow before you commit

Watch a feature get built with an AI agent from prompt to deployment, and try it yourself. Free, and no obligation to enrol.

Watch a real feature built with an AI coding agent
See how context and review actually work
Walk through the 12-week plan with a mentor
Ask about fees, timings and batch schedule

Locations

Learn in Valanchery, Tirur or online

Attend in person at either centre, or join the same batch online. Pairing and code review work best face to face, so we recommend in person where the commute allows.

Valanchery

Malappuram, Kerala

Classroom sessions with on-site mentors.

Address confirmed on enquiry.

Tirur

Malappuram, Kerala

Naduvilangadi, Tirur, Kerala 676101

Classroom sessions with on-site mentors, at the Orbynex office.

Get directions

FAQ

Questions, answered

What vibe coding is, how this differs from the 5-month program, and what we will not promise.

Vibe coding is building software with an AI model as the primary code writer, while you direct the work — defining requirements, giving context, reviewing output and deciding what is correct. At Orbynex Academy it is taught as an engineering discipline: you are responsible for every line that ships, whether you typed it or not.

Next batch

Bring an idea. Leave with a product.

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Or call us at +91 70127 37250

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