Real Demos. Real Hacks. Real Impact.
Every Thursday, we go live to showcase how AI is driving real change inside FlytBase—across hiring, product, operations, and beyond.

Discover how FlytBase is cutting design-to-code time by 80% using Figma MCPs and AI-native workflows. This session shows real-world tactics to automate, scale, and maintain consistency from Figma to frontend production.

Tired of customer issues sitting in ticket queues for weeks—or months? Discover how FlytBase cracked the code to build faster, ship smarter, and solve real problems without developers. In this live webinar, we walk you through a real-world case study where a Customer Success team member built a production-grade tool using AI and no-code—without waiting for engineering.

This isn't a theoretical talk. It's a behind-the-scenes walkthrough of how a lean FlytBase team used AI. It’s a raw, honest peek into what working at AI speed really looks like. The Full-Stack Execution Mindset: You don’t need a PM, designer, and QA for every step. With AI, one person can go from a problem statement to a live deployment. Kill the Handoffs: Handoffs are the real bottlenecks. Replacing them with agent-driven loops helped the team maintain velocity without loss of quality. Human-in-the-loop isn’t optional—it's essential: LLMs can give you breadth, but humans ground the system in context and truth. Quick POCs + validation loops are the new R&D. AI isn’t just a tool—it’s your new org chart: The team used AI not just for execution, but for orchestration. Think testing bots, onboarding agents, and autonomous compliance generators. Don’t just automate. Architect with AI. Amogh’s walkthrough of the cloud video recording system showcased how deeply AI is woven into infrastructure, not just tasks. Real hacks. No polish. From surprise bugs to $100 challenges, this was a live teardown of what worked—and what didn’t.

Backend devs—we’ve built a working system where AI agents handle: Ideation → Design → TDD → Scaffolding → Infra → Deployment. No more syncing with architects, writing boilerplate, or waiting 3 weeks for reviews. What used to take a team now runs on AI agents we’ve fine-tuned through experiments.
Join AI Hackers Collective
Have your own AI hack? Want feedback or want to jam with other AI-native builders?Join the AI Hackers Collective — our Slack community where the most useful stuff gets built, not just discussed.
