Grindr Claims AI Boosted Dev Speed 3.5x by Flooding Repo With Code

In a letter to shareholders, George Arison announced that Grindr's engineering output surged by 3.5x over less than a year without any meaningful expansion of the developer team.

According to executive estimates, matching this tidal volume of technical output without artificial intelligence would have required hiring approximately 200 additional engineers and spending around $60 million annually.

The company calculated this productivity leap primarily by measuring the sheer volume of code produced. While gauging developer performance by character count is roughly equivalent to judging an author by book weight, the platform is doubling down by allocating $6 million strictly for AI tokens this year.

Leadership defended the heavy spending by pointing to a persistent shortage of top-tier software talent, arguing that generative tools handle routine boilerplate so core staff can focus on architecture.

Corporate boardrooms have reached peak absurdity: spending millions on cloud tokens to inflate repositories with machine-written code is now celebrated as visionary engineering triumph.

Source: Business Insider