At the just-concluded Google I/O 2026 developer conference, Google released Gemini 3.5 Flash — its strongest model yet for coding and autonomous agent tasks.
From chatbot to autonomous agent
Gemini 3.5 Flash's core positioning is no longer Q&A, but action. DeepMind CTO Koray Kavukcuoglu said at the launch that 3.5 Flash nearly comprehensively surpasses the previous 3.1 Pro on coding, agent tasks, and multimodal reasoning, and is 4× faster. The version optimized for agent scenarios achieves a 12× speedup — critical for complex workflows requiring multiple AI agents to run simultaneously.
In a live demo, Google engineer Varun Mohan showed multiple agents working in parallel, each handling different system components, ultimately collaborating to build a complete operating system. The enabling infrastructure is Google's simultaneously released Antigravity 2.0 — an agent-centric desktop IDE that deeply integrates Gemini 3.5 Flash to provide a native working environment for AI agents.
The engineering logic behind the speed
The speed boost isn't simple compression, but systematic optimization designed to support long-horizon agent tasks — tasks that require the model to run for hours while maintaining consistent reasoning quality. Google has already landed these capabilities in real-world scenarios like finance, workflow automation, and data science.
Verdict
The release of Gemini 3.5 Flash marks an important shift in Google's AI strategy: from providing conversational tools to building agent infrastructure. The dual improvement in speed and stability will be the key support for AI agents landing in coding and complex-task domains.