Vibe Coding Full Course: Gemini 3.1 + Antigravity
Six hours, five shipped apps, and one uncomfortable conclusion: the building is now the cheap part.
February 27thA creator downloads an ad-funded coding platform promising free daily hours on GPT-5.6 Luna and GLM 5.3 Flash, then builds two live demos to see if the free tier actually produces working code.
Coding agents no longer require a credit card or subscription: FreeBuff trades ad views for daily model hours, including a 20-hour-a-day free allotment of GLM 5.3 Flash, narrowing the access gap between people who can and can't afford frontier AI pricing.
FreeBuff is a coding-agent app that charges nothing upfront: instead of a subscription, users watch ads and draw from a daily allowance of 'Freebucks' good for hours of use across models like GPT-5.6 Luna, DeepSeek V4.1 Flash, and GLM 5.3 Flash, the last of which alone offers 20 free hours a day. Nick Saraev signs up with no credit card, opens two parallel build threads, and prompts one model to build a personal one-page bio site and another to build a simple stick-figure walking game, both of which render working results within minutes while ads surface quietly at the bottom of the screen. His conclusion: the free models aren't frontier-tier, but they're good enough to code with, and giving people without money access to any AI coding capability is worth taking seriously even though the ad-funded business model's long-term economics are still unproven.
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Nick opens with a joke about coding becoming ad-funded like America, then introduces FreeBuff, a platform that swaps AI-agent subscription fees for in-app ads, explicitly disclaiming any sponsorship or affiliation.

A tour of FreeBuff's homepage shows five free models with different daily hour allowances, from 5 hours of GPT-5.6 Luna up to 20 hours of GLM 5.3 Flash, plus an intelligence/speed benchmark chart and a savings calculator claiming $11,400/year versus paid alternatives.

Nick downloads the FreeBuff desktop app for macOS and signs in with Google, noting the app explicitly requires no credit card to start.

An onboarding modal explains 'Freebucks': a daily allowance that refills at midnight Pacific with no session caps, spendable on any model, priced once per hour at session start; a separate paid-plan page shows $6.25-$46.67/month tiers for heavier use.

Nick prompts GPT-5.6 Luna to build a one-page personal site about himself, watching the agent's live queue, file diffs, and an in-app ad (a dog food subscription box) surface at the bottom of the screen while it works.

He opens a second parallel thread on GLM 5.3 Flash and prompts a simple stick-figure walking game, comparing its faster, rougher reasoning style against the slower Luna model running in the other tab.

Nick reviews additional agent settings including a 'Mission' mode that drives a task to a merged pull request unattended, an AGENTS.md config option, and phone mirroring via a FreeBuff iOS app, while three ads are now visible across the two open build tabs.

The one-page bio site renders with a real headline, stats, and layout; the stick-figure game runs as a flat side-scroller where a stick figure simply walks, with two instances running at once.

Nick closes with a reflection that people without money to spend on frontier AI subscriptions are now able to build real things, arguing this narrows the gap between people who can afford the smartest models and those who can't.
FreeBuff swaps a subscription for ad views and still produces working code, which matters most for people who were priced out of AI coding tools entirely, even though the free models trail frontier ones on capability.
“Well boys, coding is now freer than America.”
“just like america it's funded by ads”
“complete the user's request fully. when the work is correct, lean and verify. commit it. open a pull request. drive its checks to green and merge it.”
“we're now running two instances of stick walk, ladies and gentlemen... the game is just walking. we are just walking. wow.”
“us permanent underclassmen can at least start using models for free”
See every word as it's spoken — crank it to 2× and still catch all of it. The same dual-channel trick behind Amazon's Kindle + Audible.
The title promises a way to run Codex-style coding agents for nothing, and the opening line delivers the joke before the pitch: coding, like the country hosting it, now runs on advertising. What follows is a straight walkthrough of FreeBuff, an ad-funded agent platform, then two live builds to see if 'free' actually produces working code.
FreeBuff's pricing model: a shared daily currency ('Freebucks') refills at midnight Pacific, spendable on any model, with each hour-long session priced once at start rather than metered per token, and no weekly/monthly caps.
“we're not affiliated whatsoever, I just think it's cool that people that don't have money can now use AI agents for free”
Nick explicitly disclaims sponsorship on camera, even though the video's description promotes both a FreeBuff link and his own paid Maker School community, a disclosed non-affiliation paired with monetized description links.
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09:37Add Modern Creator as a preferred source and Google shows you more of our breakdowns in Search, Top Stories, and AI Overviews. It only changes what you see, and you can undo it in your Google settings anytime.
Six hours, five shipped apps, and one uncomfortable conclusion: the building is now the cheap part.
February 27thThe whole video you're watching was style-transferred into a painterly 3D look, then the walkthrough shows the exact agent-driven pipeline used to do it.
September 11thFive hours, thirty-six sections, and one argument: clear thinking is an engineering problem, not a discipline problem.
September 2ndA same-day walkthrough of Claude Fable 5.1's benchmark chart, why the real story is cost-per-task rather than raw score, and what the new safeguard numbers mean for how often the model refuses benign questions.
September 1stA four-and-a-half hour screen share that takes four business systems from a single typed prompt all the way to a scheduled job running on somebody else's server.
August 23rdSix hours of screen-share in which one operator rebuilds an entire marketing department out of prompts, skills, loops and scheduled cloud routines.
August 8th