I/O 2026: Welcome to the agentic Gemini era

Editor's take

Google announced Gemini 1.5 Pro's expanded context window to 2 million tokens, enabling it to process significantly larger amounts of information, such as entire codebases or lengthy books, in a single prompt. This leap in context capacity directly addresses a key limitation of previous LLMs, allowing for more nuanced and comprehensive understanding of complex data.

The implications extend beyond simple information retrieval; this advancement positions Gemini to power more sophisticated AI agents capable of performing intricate tasks that require understanding extensive documentation or historical data. Businesses leveraging Gemini for code analysis, legal review, or research will see a tangible increase in efficiency and the potential for novel applications.

Future developments will focus on how effectively developers can harness this expanded context for practical agentic workflows. The key question is whether this enhanced capacity translates into demonstrably superior performance on real-world agent tasks compared to models with smaller windows, and how quickly this capability will be integrated into widely accessible tools.