#managed agents
8 related articles
·2 min
Intelligence Is Getting More Expensive: A Deep Dive into Google I/O 2026
Deep dive into Google I/O 2026: Gemini 3.5 Flash price hikes, RL training environments as a hidden battleground, managed agents and sandboxes, open-source model tiers, and frontier lab competition.
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·2 min
The Era of Managed Agents: Anthropic vs. Google's Two Diverging Approaches
Deep analysis of Anthropic vs Google's Managed Agent architectures, pricing strategies, and selection guidance. Managed Agents are emerging as a new AI infrastructure product category.
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·3 min
Deep Dive into Claude Cloud Agent Memory System Architecture: CMA Design Philosophy and Technical Choices
Deep analysis of Anthropic's Cloud Managed Agents memory architecture, covering file-first strategy, memory store reuse, Dreaming async consolidation, and key differences from Claude Code's memory system.
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·2 min
LLM Observability & Eval in Practice: A Complete Guide to Monitoring and Evaluating Large Models in Production
A deep dive into LLM observability, evaluation systems, and experimentation loops for production AI. Covers OpenTelemetry, trace monitoring, five eval signal types, four scope levels, and automated improvement flywheels.
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·2 min
Anthropic London Developer Conference: Claude Model Upgrades, Enterprise Agent Platform, and Developer Tools Fully Evolved
Anthropic's first London Code with Claude event unveiled Opus 4.7, Mythos, Cloud Managed Agents, Claude Code Routines, and more for AI-assisted development.
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·2 min
Anthropic Team in Practice: Claude Code Experience with 16 Parallel Agents Developing a Compiler
Deep analysis of Anthropic's real-world Claude Code practices: 16 parallel Agents building a C compiler, three-role architecture for full-stack apps, smart approvals solving 93% blind approval issues, and six official best practices.
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Tech Frontiers
Google Anti-Gravity 2.0 Explained: The…
·1 min
Google Anti-Gravity 2.0 Explained: The Multi-Agent Development Platform Replacing Gemini CLI
Google Anti-Gravity 2.0 officially replaces Gemini CLI with a desktop app, CLI terminal, and SDK. Powered by Gemini 3.5 Flash, it supports multi-Agent parallel collaboration and one-click Managed Agents deployment.
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Deep Dives·4 min
A2A Protocol Explained: Complementing MCP to Build a Standard Communication Layer for Multi-Agent Collaboration
Deep dive into Google's A2A protocol core mechanisms (Agent Card, Task, Transport), comparing A2A vs MCP roles, and tracing the evolution from tool calling to multi-agent team collaboration.
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