Google just cranked up the throttle for developers. Starting today, all Google AI Pro and Ultra subscribers get significantly higher request limits for Gemini CLI and Gemini Code Assist, the company's AI-powered coding tools. The move directly targets the growing enterprise developer market as coding assistants become table stakes for productivity-conscious teams.
Google is doubling down on wooing enterprise developers with a significant update to its AI coding tools. The company announced today that all Google AI Pro and Ultra subscribers will receive higher request limits for both Gemini CLI and Gemini Code Assist, effective immediately with a 24-hour rollout window.
The timing isn't coincidental. Microsoft's GitHub Copilot has dominated the AI coding assistant space, but Google's been steadily building its developer toolkit since launching Gemini Code Assist for VS Code and IntelliJ in May. The company followed up with the open-source Gemini CLI in June, putting AI assistance directly in developers' terminals.
"This means you can spend more time building (and vibe coding) with Gemini 2.5 Pro and Flash," Google Senior Product Manager Meridith Blascovich wrote in the company blog post. The casual "vibe coding" reference signals Google's attempt to position its tools as more developer-friendly and less corporate than competitors.
The enhanced limits come as Google pushes new integrations across the developer ecosystem. Recent additions include IDE mode in VS Code, Zed integration, and GitHub Actions support for CLI workflows - all targeting the modern developer's multi-tool environment.
Google AI Pro costs $19.99 monthly while Ultra runs $29.99, putting both tiers below Microsoft's $30 GitHub Copilot Enterprise pricing but above the $10 individual plan. The company's betting that higher usage limits will justify the premium pricing for teams that hit API constraints with free tiers.
The move also reveals Google's strategy of bundling developer tools with its broader AI subscription model. Rather than selling standalone coding assistants like GitHub, Google's tying these capabilities to its Gemini ecosystem - a play that could lock in enterprise customers across multiple AI use cases.
