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Vibe Coding with AI

Vibe Coding with AI

Learn Smarter, Build Faster with AI Tools - Vibe Coding with AI in Kathmandu, Nepal

Mode: Physical & Online Live Classes (Day/Night)
Successful student from Broadway Infosys Mr. ⁨Dipesh Awasthi
Successful student from Broadway Infosys Ms. Beli Shrestha
Successful student from Broadway Infosys Mr. Bhupendra Bhatta
Successful student from Broadway Infosys Mr. Madhav Raut

More than 19,000+ students have started their career after getting certified from Broadway Infosys.

Updated On: 05/2026

Created On: 05/2026

Course Overview

The best developers don’t just write code. They know how to think, adapt, and build faster than everyone else.

Vibe Coding with Claude AI is a hands-on training program designed for the AI era. This isn’t about replacing your skills. It’s about multiplying them.

At Broadway Infosys, you’ll learn how to turn ideas into real applications using Claude AI, even if you’re a complete beginner with no coding background. By the end of the course, you’ll build real-world projects including a fully authenticated REST API, polished front-end apps, automated workflows, and production-ready systems powered by AI.

You’ll go from understanding how large language models actually work to using Claude Code like a powerful development partner. Along the way, you’ll learn prompting, custom commands, intelligent automation, multi-agent workflows, scalable architecture, and the Model Context Protocol to connect AI with external tools.

Every lesson is practical. Every concept leads to something real.

Whether you’re an experienced developer or just getting started, this course gives you the mindset, speed, and confidence to build in the age of AI.

Skills you’ll learn

Precision prompt engineering : Write developer-grade prompts that generate clean, production-ready code every time.
Claude Code mastery : Harness Claude Code's full toolset, hooks, slash commands, plan mode, and project memory.
Full-stack AI development : Build and ship complete front-end and back-end applications with AI as your co-developer.
Agent & automation design : Design multi-agent systems and automated workflows that work while you sleep.
MCP integration : Connect Claude to any external service by building and securing your own MCP servers.

Success Stories From our Graduates

Hear from graduates who have completed our courses.

view more success stories
Successful student from Broadway Infosys Mr. ⁨Dipesh Awasthi
Mr. Dipesh Awasthi
Course: Graphics Design

College/Faculty: Kathmandu Engineering College / BE

Working At: Tauwa Studio

Position: Asst. Graphic Designer

Successful student from Broadway Infosys Ms. Beli Shrestha
Ms. Beli Shrestha
Course: Graphics Design

College/Faculty: Mahendra Ratna Campus / Education

Working At: Emax Technology Pvt.Ltd

Position: Accountant

Successful student from Broadway Infosys Mr. Bhupendra Bhatta
Mr. Bhupendra Bhatta
Course: React js Training

College/Faculty: Patan Multiple Campus / BSc.CSIT

Working At: Quantum Computing Generation

Position: React Developer

Successful student from Broadway Infosys Mr. Madhav Raut
Mr. Madhav Raut
Course: Accounting Training

College/Faculty: New Summit College / BBS

Working At: Mobility Freight Pvt. Ltd.

Position: Junior Accountant

Our graduates are hired by 470+ companies in Nepal

Time for you to be the next hire. With our advanced and industry relevant courses, you are on the right stage to start your dream career.
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Our syllabus outlines are only the headlines of the major modules. To ensure a complete understanding of the course, we offer free counseling. Also, if you have specific modules in mind, you can customize the course. Send your inquiry today!

  • Comparison: Traditional coding vs. Prompt-driven development vs. Vibe coding.
  • Real-world applications: How professional developers use AI tools daily in 2026.
  • Overview of the AI developer tool landscape: Claude Code, Cursor, GitHub Copilot, Windsurf.

  • Tokens, context windows, and why they affect your workflow
  • How Claude interprets ambiguous instructions vs. precise prompts
  • Hallucination, confidence, and how to validate AI-generated code
  • Claude model family overview: Opus, Sonnet, Haiku and when to use each

  • Installing Node.js, npm, and VS Code (Windows, macOS, Linux)
  • Installing and authenticating Claude Code via the CLI
  • Configuring VS Code extensions for AI-assisted development
  • Setting up Git and connecting to GitHub
  • Project directory conventions and file organization best practices

  • Using Claude in the terminal: basic commands and flags
  • Starting a chat session and understanding session memory
  • Generating a simple to-do list app from a plain-English description
  • Reading and understanding code you did not write yourself

  • Structure of an effective developer prompt: context, constraints, format, examples
  • Positive framing vs. negative constraints: telling Claude what to do, not what to avoid
  • One-shot, few-shot, and iterative prompting strategies
  • Chain-of-thought prompting: asking Claude to reason step-by-step before coding

  • Specifying language, framework, and version in your prompt
  • Requesting code with tests included from the first prompt
  • Asking for multiple implementation options before committing to one
  • Using examples in your prompt to constrain output shape

  • Sharing error messages and stack traces effectively
  • Asking Claude to explain why code is broken, not just fix it
  • Requesting a security audit or performance review via prompt
  • Diff-style prompting: show Claude the before and describe the after

  • What goes into the context window and what stays out
  • Using CLAUDE.md project files to inject persistent context
  • Summarizing prior conversation for long coding sessions
  • Multi-file projects: how to give Claude the right file at the right time

  • Vague requests that produce generic boilerplate
  • Overloading a single prompt with too many unrelated tasks
  • Accepting the first output without validation
  • Failing to specify error handling, edge cases, or data types

  • How Claude Code works under the hood: the agent loop explained
  • Difference between claude (interactive) and claude -p (one-shot pipeline) modes
  • Understanding tool use: how Claude decides to read files, run commands, and edit code
  • Permission model: what Claude can and cannot do by default

  • What CLAUDE.md is and why every serious project needs one
  • Writing effective project instructions: coding standards, directory structure, forbidden patterns
  • Importing other files into CLAUDE.md with the @path syntax
  • Team-wide vs personal CLAUDE.md files and how they stack

  • Enabling Plan Mode to review Claude's proposed actions before execution
  • Using checkpoints to save working states before risky refactors
  • Reverting to a checkpoint when Claude takes a wrong turn
  • Best practices for checkpoint placement in long coding sessions

  • Understanding what Claude Code will ask permission for before running
  • Setting up allowed and disallowed shell commands in project config
  • Reviewing diffs before accepting file modifications
  • Sandboxing strategies for running untrusted AI-generated code

  • /help, /status, /clear, /compact: the essential daily commands
  • /review: triggering code review on the current file or selection
  • /commit: generating semantically meaningful Git commit messages
  • /doctor: diagnosing configuration and environment issues

  • Anatomy of a slash command: markdown files in .claude/commands/
  • Writing a /test command that runs your project's test suite and summarizes failures
  • Writing a /document command that generates JSDoc for every function in a file
  • Writing a /refactor command with your team's specific style rules baked in
  • Parameterizing slash commands with $ARGUMENTS

  • Storing commands in the project repo for team-wide consistency
  • Storing personal commands globally in ~/.claude/commands/
  • Conflict resolution when project and global commands share names

  • What hooks are: shell commands triggered at specific points in the Claude Code lifecycle
  • The four hook event types: PreToolUse, PostToolUse, Notification, Stop
  • Hook configuration in settings.json and how Claude processes them

  • Running a linter before every file write to prevent style regressions
  • Blocking writes to protected files (e.g., production environment files)
  • Logging all tool calls to an audit file for team review
  • Prompting for human approval on destructive operations

  • Auto-running tests after every file edit
  • Sending a Slack notification when Claude completes a long task
  • Auto-formatting with Prettier after every write
  • Auto-committing to Git after a successful task completion

  • Combining hooks, slash commands, and CLAUDE.md to create a zero-touch CI pipeline
  • Using Claude Code in headless mode for scheduled automation tasks
  • Error handling in hooks: what happens when a hook fails

  • Describing UI components in plain English and getting production-ready HTML/CSS
  • Using image inputs: sharing a screenshot or wireframe with Claude to generate matching code
  • Generating responsive layouts with Tailwind CSS via natural language
  • Iterating on designs through conversational refinement

  • Scaffolding a React project and configuring it with Claude's help
  • Generating functional components, hooks, and context providers from descriptions
  • State management patterns: asking Claude to implement Zustand or Redux Toolkit
  • Requesting accessible (WCAG-compliant) components from the first prompt

  • Pasting browser console errors directly into Claude Code for diagnosis
  • Sharing React DevTools output to identify re-render performance problems
  • Using Claude to trace event handler chains and data flow bugs
  • CSS debugging: describing visual problems for Claude to diagnose and fix

  • Scaffold the React app, generate the calendar grid component, and add event CRUD
  • Add date navigation, drag-and-drop, and local storage persistence
  • Implement search, filtering, and recurring event support
  • Deliverable: A fully functional, responsive calendar app committed to GitHub

  • Generating a RESTful API from a plain-English description of endpoints
  • MVC architecture: asking Claude to scaffold models, views, and controllers correctly
  • Middleware implementation: logging, rate limiting, CORS, and validation

  • JWT-based authentication: generating the full auth flow from a single prompt
  • Session management and refresh token rotation
  • Role-Based Access Control (RBAC): designing permission schemas with Claude
  • OAuth 2.0 integration with Google and GitHub providers
  • Security checklist: asking Claude to audit your auth code before shipping

  • Describing your data model in plain English and generating MongoDB schemas
  • SQL database design: generating normalized table schemas with Claude
  • Writing complex aggregation pipelines and JOINs with AI guidance
  • Using Claude to generate seed data and migration scripts
  • ORM vs. raw queries: asking Claude to explain the trade-offs for your use case

  • Generating test suites for every endpoint
  • Asking Claude to write Postman collections from your route definitions
  • Auto-generating OpenAPI (Swagger) documentation from Express routes
  • Load testing: using Claude to write k6 or Artillery scripts

  • What makes something an agent: perception, decision-making, and action
  • The agent loop in Claude Code: how Claude plans, executes, and self-corrects
  • Single-agent vs. multi-agent architectures and when to use each
  • Tool use as the backbone of agentic behavior

  • Configuring Claude as an autonomous coding agent for a defined task
  • Subagent orchestration: one Claude instance directing others for parallel work
  • Memory patterns for agents: files, databases, and in-context strategies
  • Preventing runaway agents: timeout limits, cost caps, and human checkpoints

  • Codebase migration agent: automatically update an entire project from one framework version to another
  • Documentation agent: crawl a codebase and generate a complete wiki
  • Test coverage agent: identify untested code paths and generate tests for them
  • Dependency update agent: scan for outdated packages, update them, and validate tests pass

  • The Model Context Protocol specification: a universal standard for AI-to-tool communication
  • How MCP solves the integration problem: one protocol instead of hundreds of custom APIs
  • MCP architecture: hosts, clients, servers, resources, tools, and prompts
  • Comparing MCP to traditional API integration: latency, context, and flexibility differences

  • Configuring MCP servers in Claude Code's settings.json
  • Using the file system MCP server: giving Claude read/write access to specific directories
  • Database MCP servers: connecting Claude to PostgreSQL, MongoDB, and SQLite
  • Web browsing MCP servers: enabling Claude to fetch live data during coding sessions
  • GitHub MCP server: Claude reading issues, PRs, and code reviews directly

  • Setting up the MCP SDK: @modelcontextprotocol/sdk installation and project scaffold
  • Defining tools: functions Claude can call with typed inputs and outputs
  • Defining resources: data Claude can read from your system or database
  • Defining prompts: reusable prompt templates exposed to Claude via MCP
  • Running your MCP server locally and connecting it to Claude Code

  • Using MCP Inspector to test tool calls and inspect request/response pairs
  • Authentication patterns for production MCP servers
  • Rate limiting and input validation to prevent prompt injection via MCP
  • Logging MCP tool calls for audit trails

  • Inverting the TDD cycle: write the test description in English, let Claude write the test, then the code
  • Unit tests, integration tests, and end-to-end tests: asking Claude for each type
  • Code coverage analysis: using Claude to identify gaps and generate missing tests
  • Snapshot testing for React components: generating and maintaining snapshots with Claude

  • Asking Claude to review a pull request diff for logic errors, security issues, and code style
  • Generating a code review checklist specific to your project's standards
  • Using Claude as a second reviewer before merging any branch to main
  • Automated review hooks: trigger Claude review on every git commit

  • Sharing performance profiler output with Claude for diagnosis
  • Identifying N+1 query problems in database-heavy applications
  • React rendering optimization: useMemo, useCallback, and code splitting with AI guidance
  • Bundle size analysis and asking Claude to identify bloated dependencies

  • REST API with an auth-managed application (e-commerce, CMS, MIS, etc)
  • Fully functional frontend application (of any calibration)
  • Documentation with Postman or Swagger
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