Google's Gemini 3.5 Flash Makes AI Agents Faster

Google just released Gemini 3.5 Flash, and the model is aimed directly at agent work: planning, tool calls, code edits, long context, multimodal input, and repeated loops.

In this video, we first cover what Gemini 3.5 offers, including the launch details, benchmarks, speed claims, Antigravity, Gemini Spark, and where Google is positioning Flash. Then we move into a developer deep dive on how to implement Gemini 3.5 Flash with the model ID, context limits, supported inputs, tools, thinking controls, media resolution, thought signatures, prompting guidance, and guardrails.

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Chapters
0:00 Gemini 3.5 Flash Is Built For Agents
0:23 Google's Launch Claim
0:40 Why Agent Work Breaks
1:00 The Benchmark Proof
1:26 Speed Changes The Agent Loop
1:47 Antigravity Shows The Developer Use Case
2:05 Repeated Work At Agent Scale
2:25 Inspectable Outputs And Artifacts
2:47 Spark Brings Agents To Users
3:07 Moving Into The Developer Deep Dive
3:26 The Stable Model ID
3:44 Your First Gemini 3.5 Flash Call
4:05 Context Limits
4:29 Supported Inputs
4:50 Tools And Action Surface
5:11 Thinking Level
5:33 Configuring Thinking In Code
5:55 Media Resolution Controls
6:14 Thought Signatures
6:36 Prompting Gemini 3.5 Flash
6:55 A Practical Build Order
7:16 Where Gemini 3.5 Flash Fits
7:39 Limits And Guardrails
8:00 Final Takeaway

Видео Google's Gemini 3.5 Flash Makes AI Agents Faster канала Build Things With AI