In early 2026, Surat-based Rocket raised $15 million in Series A funding from Accel and Salesforce Ventures. Their product lets anyone describe software in plain English — and receive working, deployable code in return. They called it vibe coding. The VC world called it the future.
Vibe coding is not no-code. No-code tools give you drag-and-drop interfaces with predefined components. Vibe coding gives you natural language — you describe intent, the AI writes production-grade code. The distinction matters because vibe coding's ceiling is much higher.
For Surat IT companies, this creates both a threat and an opportunity. The threat: clients who previously needed a 3-month custom development project can now prototype in a weekend. The opportunity: companies that master vibe coding tooling can deliver faster, cheaper, and at higher margin.
The tools leading this category: Cursor (AI-first code editor), Bolt.new (full-stack from prompts), Rocket.new (Surat-built), Lovable, and GitHub Copilot Workspace. Each occupies a slightly different position — from developer-assist to fully autonomous generation.
What does this mean for your engineering team? Senior developers who understand architecture are more valuable than ever. Junior developers who only write boilerplate code face real disruption. The engineers who will thrive are those who can guide AI output, catch architectural mistakes, and translate business intent into precise prompts.
SIC member companies are already adapting. Several have launched internal "AI Champions" programs where one engineer per team becomes the vibe coding expert. Others are rebuilding their client proposals to include AI-accelerated timelines as a competitive differentiator.
The window to adapt is now. Vibe coding is moving from early adopter to early majority faster than any previous developer tool. The Surat IT companies that build expertise in this category in the next 12 months will have a significant advantage over those who wait.
"Vibe coding's ceiling is much higher than no-code. You're not choosing from predefined components — you're describing intent, and AI writes production-grade code."
