22 January, 2026

Computer Engineering Department organised a Workshop on “Vibe Coding and Automation using MCP” for its students on 22nd January, 2026. The main objective of the workshop is to introduce the students with the latest trends in the industry and the skills in demand by the industry. The expert Mr. Daxesh Italiya is an alumni and Chief Technology Officer (CTO) of the TST Technology company – a startup started when he was in the college. Due to the automation in the coding, the way code needs to be written has changed drastically and therefore, to equip the students with the latest trends in the industry, it is much needed to understand how to do Vibe Coding and be industry ready and create own portfolio of the projects. 

Key Features: 

• Organizing Department: Computer Engineering Department and VGEC Alumni Association (CE and CSE Department)
• Duration:22nd January 2026 (10:30AM to 1:30PM)
• Venue: A- Auditorium, VGEC Chandkheda
• No. of Participants: 166
• Faculty Coordinators: Prof. A H Rathod and Prof. Jalpa Ramavat

Learning Lessons:

• AI as Tool, Not Replacement: AI doesn't replace engineers; it replaces repetitive typing and syntax work. Engineers still need to understand code to catch mistakes, bugs, and security issues since AI can hallucinate or generate imperfect code.
• Effective Prompting is Critical: Success requires specific, contextual prompts with clear requirements and constraints. Use structured markdown formatting, break tasks into small pieces, and follow a workflow: Plan → List Features → Draw Flow → Code incrementally.
• LLM Limitations to Know: Be aware of hallucinations, context window limits, poor prompt handling, and reliance only on training data. Always review and test AI-generated code carefully.
• Organized Development Matters: Avoid "prompt and pray"—create proper folder structures, set coding standards, and build features one at a time. Rushing to build everything at once creates unmaintainable spaghetti code.
• MCP (Model Context Protocol): A standardized protocol that connects AI to your local development environment, allowing it to read files, databases, and tools in real-time. This transforms AI from a chatbot into a true coding partner.
• Essential MCP Tools: Key tools include Filesystem, GitHub, Web Search, Context7, Sequential Thinking, and Shadcn. These integrate with AI-powered IDEs like Cursor and Windsurf.
• Practical Workflow: Start with research (ask AI to compare tools/frameworks), improve communication through better prompts, use different strategies for frontend vs backend, and practice by building small projects incrementally.