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Less Typing, More Thinking, Less Talking, More Doing!

What’s Behind the Vibe Coding Revolution? The art of coding has undergone a significant transformation, as AI agents are now capable of responding to plain English and even images, making software creation more intuitive, artistic, and faster. This shift is not just a tech trend, but a wake-up call for enterprises that still rely heavily on manual coding methods for early-stage development, who may fall behind competitors who can rapidly iterate using AI.

Democratising Access to Software Development

The concept of vibe coding was coined by OpenAI co-founder Andrej Karpathy, who describes it as altering the status quo by democratizing access to software development. Nagasanthosh Joysula, co-founder of Tabletsprint, explains that vibe implies an emotional state, stating, “When we create art forms like a painting or a song, we emotionally bond with them. On the other hand, coding till recently was supposed to be dominated by logic and structure. Now, combined with conversational interfaces, AI agents are bringing out the coding artists.”

Enabling Enterprises to Build, Automate, and Scale

Tablesprint is a full-stack chat-based AI app builder platform that enables enterprises to build, automate, and scale business applications without writing code. Companies like Flipkart, Vedantu, Aspire Fintech, and Easebuzz have partnered with Tablesprint to build complex, scalable tools without writing code.

  • Companies like Flipkart and Vedantu use Tablesprint to build scalable tools for their businesses.
  • Aspire Fintech and Easebuzz also partner with Tablesprint to create complex applications.
  • TableSprint’s DevConsult AI is a vibe coding platform built for creators, with Replit and Lovable being other notable players.

Advancements in AI Coding

Until a few months ago, AI could only perform basic tasks like auto-completion. However, with new advancements such as Claude 3.7 and Google Gemini 2.5 Pro, developers can now provide screenshots or English prompts, with which the AI can generate code modules.

  1. Developers can now provide screenshots or English prompts for AI-generated code modules.
  2. The AI can write code, generate documentation, create test cases, and improve developer efficiency.
  3. Tasks that earlier took days or weeks can now be completed in hours, fundamentally changing how software development is approached and executed.

A New Era for Software Development

The emergence of AI-assisted development will not diminish the role of engineers, but rather transform it. According to Jaspreet Bindra, co-founder of AI&Beyond, “AI will take over basic, repetitive tasks. Developers who understand business problems and can build solutions around them will continue to be in demand. Those who only write standard code will be replaced unless they evolve.”

Upgrading to Stay Competitive

To stay competitive, developers must shift to solving more complex problems that require layered thinking. This includes understanding business needs and translating them into technical solutions. Custom algorithms and non-standard workflows will still require human input.

“AI will take over basic, repetitive tasks. Those who only write standard code will be replaced unless they evolve,”

—Jaspreet Bindra, co-founder of AI&Beyond.

The Future of Engineering

The emergence of AI-assisted development will require engineers to embrace a new set of core competencies, including mastering prompt engineering, adopting systems thinking, and developing AI literacy. Mayank Maggon, founder, CEO & CTO of TechChefz Digital, stated, “The focus will move from writing every line of code to reviewing, debugging, and refining AI-generated suggestions.”

Key Skills for the Future

To stay relevant and excel in this evolving landscape, engineers will need to develop skills like product thinking, collaboration, and storytelling. Organisations that embrace a dual approach—using vibe coding for rapid prototyping and reserving expert engineering for scale and polish—will be best positioned to thrive.

Skills Description
Product thinking The ability to think from the customer’s perspective and create products that meet their needs.
Collaboration The ability to work effectively with others, including designers, product managers, and other stakeholders.
Storytelling The ability to communicate complex ideas in a clear and concise manner.

Embracing the Vibe Coding Revolution

Organisations that adopt this new approach will be well-equipped to thrive in the AI-driven landscape. It is essential for companies to strike a balance between using AI-assisted development for speed and reserving expert engineering for robustness. By doing so, they can build scalable, secure, and feature-rich products that meet the evolving needs of their customers.

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