🤖 AI Agents Weekly: Gemini 3.5 Flash, Antigravity 2.0, Codex Thursday, Cohere Command A+, Qwen3.7-Max, and More

2026-05-23 · Source: AI Newsletter · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Robotics & Autonomous Systems, Software Development & Engineering · Depth: Intermediate, quick

Summary

Google has released Gemini 3.5 Flash, a new frontier model specifically optimized for AI agents and coding tasks. This model achieves strong performance on agentic benchmarks, scoring 76.2% on Terminal-Bench 2.1, 83.6% on MCP Atlas, and 1656 Elo on GDPval-AA, demonstrating superior long-horizon coding and tool-use capabilities compared to Gemini 3.1 Pro, with outputs generated 4x faster. Concurrently, Google introduced Managed Agents within the Gemini API, providing an isolated execution environment. This feature allows a single API call to spin up an agent that reasons, uses tools, and executes code within an ephemeral Linux sandbox, configured via AGENTS.md and SKILL.md. Gemini 3.5 Flash and Managed Agents are available across various platforms, including Google AI Studio, Android Studio, and the Gemini app, establishing Flash as Google's cost-optimized agent default and simplifying agent deployment by eliminating the need for custom sandbox management.

Key takeaway

For AI Engineers developing or deploying agentic applications, Google's Gemini 3.5 Flash and Managed Agents offer significant advantages. You should evaluate Gemini 3.5 Flash for its enhanced performance on coding and tool-use tasks, which is 4x faster than 3.1 Pro. Furthermore, consider integrating Managed Agents to streamline deployment by leveraging Google's ephemeral Linux sandbox, eliminating the overhead of building and maintaining your own execution environments. This release provides a cost-optimized default for scalable agent development.

Key insights

Google's new Gemini 3.5 Flash and Managed Agents significantly advance AI agent capabilities and deployment ease.

Principles

• Agent-specific tuning improves performance.
• Managed execution environments simplify agent deployment.
• Cost optimization is key for large-scale agent adoption.

In practice

• Use Gemini 3.5 Flash for faster, better agent performance.
• Deploy agents via Managed Agents for sandbox-free execution.
• Configure agent behavior with AGENTS.md and SKILL.md.

Topics

• AI Agents
• Gemini 3.5 Flash
• Managed Agents
• Agentic Benchmarks
• Gemini API
• Code Execution

Best for: CTO, AI Architect, VP of Engineering/Data, AI Engineer, Machine Learning Engineer, AI Scientist

Related on AIssential

• Everything AI from Google IO 2026 in 5 mins! — Google is rapidly expanding its multimodal AI capabilities and developer ecosystem, focusing on cost-efficiency and secure agent deployment.
• Gemini 3.5 Flash: Frontier Intelligence with Speed — Gemini 3.5 Flash delivers rapid, low-latency AI for agentic workflows, coding, and multimodal reasoning.
• With Gemini 3.5 Flash, Google bets its next AI wave on agents, not chatbots — Google's Gemini 3.5 Flash shifts AI from conversational to autonomous agentic capabilities, excelling in speed and complex task execution.
• Google launches Gemini 3.5 Flash as its default AI model — Google's Gemini 3.5 Flash offers high-speed, cost-effective AI for agentic tasks, becoming the default model.
• Gemini 3.5 Flash Looks Good For How Fast It Is — Gemini 3.5 Flash offers high speed for agentic tasks, but its intelligence and cost-effectiveness are debated.
• Gemini 3.5: frontier intelligence with action — Gemini 3.5 Flash delivers frontier agentic and coding performance at high speed and lower cost, enabling complex workflow automation.

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Editorial summary, takeaway, and curation by AIssential. Original article published by AI Newsletter.