Is “vibe coding” really means or just hype?
Join us for a real experience where speakers share about how they productionaized apps created with vibe coding tools. Not just had aha moment of idea to MVP.
- Maturing AI toolkit – Latest features of Lovable, Bolt, Cursor, and more. Learning why these aren't just no-code platforms (like Bubble), but enable prompt-driven AI development. More tools are still coming in - emergent.sh, marblism.com
- Contrast no-code vs vibe coding – Bubble focuses on UI and workflow design, whereas vibe coding uses natural-language prompts to generate (and iterate on) full-stack code with session context.
- Understand production-readiness – AI vibe coding encourages fast experimentation, but this often leads to insecure practices like hardcoded secrets, unchecked data inputs, and model exposure. Overcoming these challenges requires secure coding habits, automated security scans, and integrating DevSecOps in the AI development lifecycle. Beyond prototype: we’ll cover security audits, testing, CI/CD, deployment, observability, and how to turn generated code into maintainable, secure applications.
- GitHub Copilot - Best practices
Agenda:
- Session 1: Vibe coding tools vs No code app creation tools.
- Session 2: Security Challenges in AI Vibe Coding and How to Overcome Them.
- Session 3: Best practices on Github Copilot.
Speakers:
- Yogesh - https://www.linkedin.com/in/yogesh-janakiraman/
- Riyaz - https://www.linkedin.com/in/riasudeen
- Dinesh Kumar - https://www.linkedin.com/in/dinesh-kumar-prabakaran/
You’ll come away knowing:
- 🔁 When vibe coding accelerates MVPs and prototypes.
- 🛡️ How to bring AI-generated code to production with confidence.
- 🧠 What unique value developers bring in this evolving paradigm. Additionally, Github Copilot knowledge.
