Google I/O 2026 puts Gemini 3.5 and agents at the heart of the software

The 2026 Google I/O reinforced a change that was already appearing across the industry: AI is no longer just an answer box and is starting to become an execution layer. The focus is not just on talking to a better model, but on enabling it to use tools, coordinate tasks and operate within real products.

In the official summary of the event, Google presented Gemini 3.5 Flash, Gemini Omni, updates to Antigravity and resources for agentic experiences in products, search, creation and development. For those who build software, the most important part is in the Managed Agents in Gemini API: the promise of creating agents capable of reasoning, using tools and executing code in an isolated environment.

What happened

Google describes Gemini 3.5 Flash as an intelligence and action model, available on surfaces such as Gemini API, Google AI Studio, Android Studio and Antigravity. Antigravity appears as a basis for agentic development, with persistent sessions and more continuity between tasks.

Managed Agents suggests a clear ambition: transforming the agent into an infrastructure component. Instead of each team manually stitching together memory, tooling, execution, and observability, the platform attempts to offer a more managed path.

The technique behind

Useful agents need four things: capable model, reliable tools, persistent state, and secure execution environment. Without tools, they just respond. Without a state, they forget their work. Without isolation, running code becomes a risk. Without observability, no one knows why an action happened.

By talking about managed agents and an isolated Linux environment, Google is trying to solve part of this equation. The idea is to allow developers to create flows in which the model not only suggests, but executes controlled steps. This can include file parsing, calling APIs, data transformation, and task automation.

Why this matters

For developers, the difference is practical. A wizard that explains how to resolve a bug saves time. An agent that investigates, runs tests, edits files and shows the diff changes the workflow. The same reasoning applies to service, operations, productivity and creation.

Google has a distribution advantage: Android, Workspace, Search, Cloud and development tools. If you can connect Gemini to these surfaces with control and security, agents can no longer be an isolated resource and become standard behavior within the ecosystem.

The future it anticipates

The next software might not just be a screen with buttons, but a set of capabilities driven by intent. The user describes the objective, the agent plans and the tools execute. This changes the role of the interface and also the role of the developer.

The risk is to delegate too much too soon. Agents need clear permissions, cost limits, logs, and human review. The question that remains after I/O is: when AI starts acting on several surfaces at the same time, who defines how far it can go?

What to watch out for

The first thing to note is how these agents will be evaluated outside of demos. A flow that looks impressive on stage can fail when it encounters messy files, unstable APIs, broken permissions, or ambiguous instructions. The real test will be in long tasks, with interruptions and the need for recovery.

It is also worth monitoring the experience of the developers. If Managed Agents are easy to create but difficult to debug, adoption may stall. Agents need to show the plan, actions, tools used, estimated cost and reason for each decision. Without this, teams lack confidence in putting the system into production.

Google's move still puts pressure on competitors. OpenAI, Microsoft, Anthropic, AWS and others are moving in the same direction: agents as an operational layer. The difference will be who offers more security, integration and clarity. The future of software may depend less on who has the friendliest chatbot and more on who builds the most trustworthy environment for action.

For end users, this may appear as less switching between applications. For developers, it appears as a new stack: prompts, tools, permissions, testing, and agent observability.

This stack is still being born, but it is already starting to reorganize product priorities.

Sources

1. https://blog.google/innovation-and-ai/technology/ai/google-io-2026-all-our-announcements/
2. https://blog.google/innovation-and-ai/technology/developers-tools/google-io-2026-developer-highlights/