Tag Archives: Vibe coding

20Mar/26

Google Sunsets Firebase Studio to Focus on AI Studio and Antigravity Ecosystem

Beyond the Sandbox: 6 Surprising Takeaways from the New Full-Stack Google AI Studio

March 16, 2026 /Mpelembe Media/ — For years, the “weekend prototype” has been a rite of passage for developers—and its graveyard. We’ve all been there: a brilliant AI demo that lives and dies in a single browser tab because the friction of setting up a backend, managing authentication, and scaling to the cloud was too high. For most, the “localhost:3000” barrier is where ambition goes to sleep, leaving behind nothing but a folder of abandoned .zip files.That era of throwaway prototypes is over. We are entering the age of “vibe coding.” As defined by the latest shifts in the Google ecosystem, vibe coding isn’t just about generating snippets; it’s a paradigm shift from writing lines of syntax to guiding an autonomous agentic system. With the integration of the Antigravity development platform and Firebase into Google AI Studio, the browser is no longer a sandbox—it’s a launchpad.Here are the six most significant takeaways from this new full-stack reality. Continue reading

08Mar/26

Beyond the Demo: How to Build Secure AI Apps That Survive Production

Why Your AI-Generated Prototype Will Probably Fail in Production (and How to Fix It)

The provided text outlines an upcoming Supabase webinar scheduled for March 19, 2026, titled “Ship Fast, Stay Safe: AI Prototyping That Survives Production”. The event addresses how agencies can balance the rapid development speed of AI coding tools with the necessary control to build robust applications. Continue reading

09Feb/26

Vibe Engineering: Bridging the Gap Between AI Agility and Production Stability

10 Feb. 2026 /Mpelembe Media  — Vibe Engineering is an AI-driven development approach that integrates the rapid prototyping speed of “vibe coding” with the rigor of traditional engineering principles like code review, testing, and system architecture. It is designed to navigate the transition from the “Magic” phase, where a functional prototype is generated in minutes, to the “Maintenance” phase, where code must survive in a production environment. While vibe coding focuses on natural language prompts, intent, and UI/UX, Vibe Engineering emphasizes security, scalability, and edge cases. Continue reading

29Dec/25

The Evolution of Vibe Engineering

Dec. 29, 2025 /Mpelembe Media/ — Artificial intelligence is fundamentally restructuring the software development lifecycle. Software engineering will become the primary application for AI, transitioning from simple code generation to sophisticated vibe engineering driven by natural language. This shift is expected to decrease computer science enrolment and significantly extend the time required to recruit developers as companies prioritise senior staff with AI expertise. Consequently, human roles will shift towards governance and architecture, necessitating a move toward as-code automation for nearly all enterprise development processes. To remain competitive, technology leaders are advised to modernise their hiring practices and integrate agentic development techniques immediately. Continue reading

21Nov/25

Google Antigravity: A New AI-powered Development Platform for Software Engineers

Nov. 21, 2025 /Mpelembe Media/ — Despite the name, Google Antigravity is not a physics experiment; it’s a revolutionary new AI-powered development platform for software engineers.

It’s an “agent-first” system that uses autonomous AI agents (primarily powered by Gemini 3 Pro) to plan, execute, and verify complex software tasks across the editor, terminal, and browser. It shifts the developer’s role from writing every line of code to acting as an architect or orchestrator. Continue reading

01Nov/25

Google AI Studio: Vibe Coding Innovation

Nov. 1, 2025 /Mpelembe Media/ — Google Cloud  announced major updates to the Google AI Studio platform, focusing on making app development faster and more accessible. The Google Cloud introduces “Vibe coding,” a new feature designed to allow users to build working, AI-powered prototypes simply from a single text prompt, dramatically reducing the time required compared to traditional methods. Continue reading