AI Coding Live News

Google for Developers introduced Gemini 3.8 Live and Gemini 3.8 Live Extended Thinking. The audio models improve turn-taking and near real-time reasoning, replacing cascaded speech-to-text, reasoning, and text-to-speech stacks with one multimodal API call. They are available through the Gemini API in Google AI Studio.

Google for Developers introduced Gemini 3.8 Live and Gemini 3.8 Live Extended Thinking. These audio models improve turn-taking and near real-time reasoning, replacing cascaded speech-to-text, reasoning, and text-to-speech stacks with one multimodal API call to reduce latency and cost. They are available in the Gemini API via Google AI Studio and coming soon to the Gemini Enterprise Agent Platform.

Google for Developers announced that Gemini 3.8 Live and 3.8 Live Extended Thinking are available today through the Gemini API in Google AI Studio for real-time voice apps, and are coming soon to the Gemini Enterprise Agent Platform.

Google AI Studio shared Managed Agents for the Gemini API, adding an updated agent harness, a Files API, and managed credentials. The combination brings long-running agent execution, file context, and credential handling into a managed path instead of forcing developers to assemble each control plane themselves.

Google AI Studio introduced its Managed Agents architecture powered by the antigravity-preview-09-2026 model. The update features optimized prompt caching for software repositories and high-throughput File APIs for frictionless multi-turn agent interaction.

Google AI Studio announced a partnership with Speakeasy to open-source the OpenAPI client-generation suite used for the Google GenAI SDKs. The tooling covers the Interactions, Agents, and Webhooks APIs and is designed to generate maintainable multi-language clients, CLIs, and agent tools as APIs evolve.

Google AI Studio launched an updated Managed Agents harness in the Gemini API. antigravity-preview-09-2026 is live in the Interactions API and AI Studio, giving agents isolated Linux execution, filesystem tools, web search, persistent environments, and MCP connectivity. The release also adds Files and Credentials APIs so developers can move artifacts between turns and connect external services without putting secrets in the model context.

Google AI Studio shared the first in-product preview of Gemini API docs, rebuilt for consolidation so docs sit where you build instead of bouncing to a separate site. Start at ai.studio/docs.

Google DeepMind is rolling out agentic video understanding to its latest Gemini models, which reason over transcript, audio, and frames and dynamically adjust frame rate instead of scanning entire files. Accuracy improves while using up to 88% fewer tokens, with the largest gains on long-form content. The feature is live via API for Gemini 3.7 Flash, 3.6 Flash, and 3.5 Flash-Lite in Google AI Studio.

Google DeepMind launched agentic video understanding on Gemini 3.7 Flash, 3.6 Flash, and 3.5 Flash-Lite. Models dynamically search frames, audio, and transcripts instead of ingesting video at a fixed FPS. Official claims include up to 88% fewer tokens, about 66% lower analysis cost, and up to about 7% better accuracy. It is live via the Gemini API, Google AI Studio, and the Gemini Enterprise Agent Platform at standard token pricing with no extra feature fee.

Google DeepMind launched Gemini 3.7 Flash, calling it stronger for coding, knowledge work, and web development. It reports gains over 3.6 Flash on debugging and issue resolution, better functional web layouts and apps with fewer prompts, and improved reasoning on real-world business workflows. It is available in Antigravity, with API access in Google AI Studio and Android Studio; Google AI Pro and Ultra subscribers can use it in Gemini Spark in the Gemini app.