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Industrial-Scale Vibe Coding for Enterprise Applications

Build Smarter. Code Faster. Scale Intelligently with AI

Industrial-Scale Vibe Coding for Enterprise Applications - Webinar
Webinar Date
Webinar Time
- IST
Duration
90 Minutes

AI-assisted development is rapidly transforming how enterprise applications are built. But moving from experimentation to industrial-scale implementation requires a structured approach, the right tools, and a shift in developer mindset.

This 90-minute webinar is designed to help engineering and technology teams understand how to adopt Vibe Coding at scale — combining AI tools, structured workflows, and modern engineering practices to accelerate development while maintaining quality and governance.

Participants will explore how to move beyond basic code generation and build scalable, test-driven, and production-ready applications using AI-assisted development frameworks.

Why You Shouldn’t Miss This Webinar

Enterprise adoption of AI in software development is no longer optional - it is a competitive necessity.

  • How to transition from traditional coding to AI-assisted development workflows
  • The Developer-to-Product Thinker shift in modern engineering
  • Using documentation-first and test-driven approaches with AI tools
  • Writing effective prompts for consistent and scalable code generation
  • Leveraging tools like Copilot, Claude, and Aider for enterprise use cases
  • Ensuring code quality, compliance, and standardization at scale
  • Managing cost, tokens, and performance in AI-driven development

What You Will Learn in Webinar

What You Will Walk Away With

    However, most teams struggle with:

  • Inconsistent code outputs from AI tools
  • Lack of structured workflows
  • Poor integration with testing and documentation
  • Rising costs due to inefficient AI usage
  • Governance and quality concerns

    This session will help you:

  • Build structured, repeatable AI-assisted development pipelines
  • Improve developer productivity without compromising quality
  • Align AI usage with enterprise engineering standards
  • Reduce cost and improve efficiency in AI-driven workflows
  • Enable teams to build faster, smarter, and more reliably

Who Should Attend ?

This webinar is ideal for:

  • Engineering Leaders
  • Software Developers & Senior Developers
  • Tech Leads & Architects
  • Product Engineering Teams
  • DevOps & Platform Teams
  • AI/ML Enthusiasts in Software Development

Webinar Flow & Topics :

  • Introduction to Vibe Coding with real-world storytelling
  • The shift from Developer to Product Thinker
  • Understanding AI-assisted development workflows
  • Backwards Build Approach for structured development
  • Common misconceptions in AI-driven coding
Hands-On:Self-assessment, story-based code walkthrough, and interactive quiz
  • Types of technical documentation in AI workflows
  • Using AI tools (e.g., Copilot) for spec-to-document transformation
  • Designing with end-user context and clarity
Hands-On:Create structured documentation for a feature using AI + quiz
  • Applying TDD principles with AI support Aligning tests with backward build structures Ensuring consistency between documentation, tests, and code
Hands-On:Build a test suite from documentation using pytest/Jest + quiz
  • Overview of leading tools: Copilot, Claude Code, Aider
  • Understanding strengths and best-fit use cases
  • Selecting the right tools for enterprise scenarios
Hands-On:Solve a coding challenge using multiple AI tools and compare outputs
  • Writing effective prompts for Python & TypeScript Managing consistency across tests and documentation Debugging and refining AI-generated code
Hands-On:Generate code using prompts and optimize using AI tools + quiz
  • Implementing code standardization templates
  • Ensuring compliance with ESLint, Ruff, PEP8 standards
  • Using AI tools to maintain enterprise-grade code quality
Hands-On:Refactor a codebase using structured templates + quiz
  • Responsible AI practices in software development
  • Introduction to agentic orchestration
  • Designing ethical and scalable AI workflows
Hands-On:Create a responsible AI workflow using prompts and code snippets + quiz
  • Token management and model selection strategies
  • Caching techniques for efficiency
  • Measuring business impact of AI-assisted development
Hands-On:Analyze project cost impact and present insights
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Exclusive Bonus for Attendees

Participants will receive an Official Certificate of Participation after the webinar.

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