How to Use AI Coding Agents for Free With Ads

TL;DR

FreeBuff provides access to AI coding agents without a credit card by placing advertisements inside its desktop interface and charging sessions against a daily FreeBucks allowance. The demonstrated Mac app supported multiple models, project files, diffs, previews, a terminal, plan and build modes, and simultaneous threads, although generated results were basic and the long-term economics remained uncertain.

Transcript

Well, boys, coding is now freer than America and just like America, it's funded by ads. To make a long story short, these guys, Free buff, made a platform where instead of pay for AI agent tokens using your credit card, you do so by watching advertisements. And so, whereas open code my cost 120 bucks a year, Codex my cost 240 and so on and so forth... Read More

Key Insights

• FreeBuff is funded by advertisements instead of credit-card payments, allowing users to start AI agent coding without paying for a subscription. The ads appeared inside the working interface and changed while the agents processed requests, rather than blocking access with a long commercial.
• FreeBucks are a daily allowance that users can spend on any available model. The pool refreshes at midnight Pacific, sessions have no weekly or monthly caps, and an hour of model use is charged once when the session starts.
• Model pricing determines how long the daily allowance lasts. The demonstrated interface listed GLM 5.3 Flash at 5 FreeBucks per hour, which implied up to 20 hours daily, while GPT 5.6 Luna cost 20 per hour and allowed about 5 hours.
• The available model selection includes GPT 5.6 Luna, DeepSeek V4.1 Flash, Muse Spark 1.2, and GLM 5.3 Flash. The presenter viewed Luna as stronger and GLM as faster at reasoning, while describing several of the offered models as suitable for coding.
• The desktop application combines agent interaction with IDE-style tools. Users can inspect queued work, file changes, previews, and terminal activity, switch between build and plan modes, configure project settings, and select a specific interface element when sending revision instructions.
• Multiple threads can work inside the application and communicate with one another. The demonstration ran a website task and a stick-figure game task with different models, although the presenter initially questioned whether multiple tabs could operate simultaneously.
• Generated projects can become functional quickly, but free access does not guarantee polished results. The personal website required a design improvement, its copywriting was criticized, and the completed walking game worked but offered little beyond moving a stick figure.
• Advertisement-supported AI agents may broaden access to capable coding tools for people who cannot afford frontier-model subscriptions. The presenter considered this accessibility the main value, while acknowledging that the sustainability of the advertising business model had yet to become clear.
• More videos from this channel:
  • How to use Make.com HTTP module for API calls
  • How to master Apify for scraping anything fast
  • Can AI Agents Deliver ROI for Businesses?
• More from this channel: Nick Saraev

Questions & Answers

Q: How can you use AI coding agents for free with FreeBuff?

Download the FreeBuff desktop application, install and open it, then sign in using the available authentication flow, which the demonstration completed with Google. No credit card was required. After creating or opening a project, choose a model and submit a coding request. The session uses the daily FreeBucks allowance, while advertisements appear within the application interface.

Q: How does the FreeBuff daily allowance work?

FreeBuff supplies a daily pool of FreeBucks that can be spent on any available model. The allowance refreshes at midnight Pacific, and users do not need to earn credits or wait through weekly or monthly session caps. An hour of a selected model is charged once when the session begins, so cheaper models can provide more working time.

Q: Which AI models are available through FreeBuff?

The models discussed include GPT 5.6 Luna, DeepSeek V4.1 Flash, Muse Spark 1.2, GLM 5.3 Flash, and several lesser-known alternatives. The presenter characterized Luna as the stronger option and GLM 5.3 Flash as particularly fast. He also considered DeepSeek and GLM capable enough to be useful for coding tasks.

Q: How much model usage does FreeBuff provide each day?

The amount depends on the selected model and its hourly FreeBucks price. In the demonstrated interface, GLM 5.3 Flash cost 5 per hour, corresponding to as much as 20 hours per day. GPT 5.6 Luna cost 20 per hour, which provided roughly 5 hours. Users can divide their allowance among models as they prefer.

Q: What coding features does the FreeBuff desktop app include?

The application displays queued activity, file lists, before-and-after diffs, a project preview, and a terminal that users can interact with. It also provides build and plan modes, configurable project settings, multiple named threads, and the ability to select a page element and attach it to a revision message for more targeted instructions.

Q: Can FreeBuff run multiple AI coding tasks at the same time?

The demonstration showed multiple threads working on separate tasks, including a personal website and a stick-figure walking game. The threads appeared capable of communicating with one another, and two instances of the game were eventually running. The presenter initially questioned the tab limitation, so the exact boundaries of simultaneous work were not fully established.

Q: What did the AI agents successfully build during the test?

One agent created a one-page personal website after being asked to research the presenter and use a restrained design. Another created a simple stick-figure walking game. Both outputs could be previewed and run, demonstrating functional project generation, but the website needed design improvements and the game was described as working without being especially fun.

Q: What are the main drawbacks of using FreeBuff?

The main tradeoffs shown were advertisements inside the workspace, uneven output quality, processing delays, and noticeable computer heat and fan noise during the test. The generated website had weak copy and needed visual revision, while the walking game was extremely simple. The presenter also said the economics of the advertisement-funded business model remained uncertain.

Summary & Key Takeaways

• FreeBuff offers an advertisement-funded route to AI agent coding without requiring a credit card or a separate ChatGPT subscription. Its daily FreeBucks allowance can be spent across several models, with each hour charged once when a session begins and the allowance refreshed at midnight Pacific.

• The Mac application resembles a developed coding environment rather than a basic chatbot. It includes project files, before-and-after diffs, previews, an interactive terminal, plan and build modes, project settings, element selection for targeted instructions, and an optional mission workflow for committing work and completing a pull request.

• The demonstration produced a one-page personal website and a simple stick-figure walking game using different models. Both projects ran successfully, but their quality was modest. The central benefit was affordable access, while visible advertisements, computer heat, uncertain business economics, and weaker output quality remained practical concerns.