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Why One AI Agent Isn’t Enough (And How to Run 1,000) - CJ Avilla & Harrison Stall, Anthropic
AI Engineer · 2026, multi-agent systems, managed agents, orchestration
AI directory search
Use this when you know the topic you need: Claude Code, MCP, evals, RAG, agents, product, coding, prompting, foundations, or model internals.
12 matches for "managed agents"
Watch first when you want a fast feel for the topic before opening courses, docs, or profiles.
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AI Engineer · 2026, multi-agent systems, managed agents, orchestration
Anthropic Academy and Claude docs · Beginner to advanced
Official material for learning Anthropic's current Claude family, model tradeoffs, Claude Code, MCP, computer use, practical prompt workflows, and team model-governance workflows without relying on third-party summaries.
Topics
Claude models, Claude Code, MCP, Computer use, AI fluency, Frontier model selection, Model governance, Release notes
Agent infrastructure guide · Anthropic · Intermediate to advanced
You want Anthropic's September 3, 2026 workflow for declaring agents, environments, skills, memory stores, and scheduled deployments in a repository, previewing changes, and applying them reproducibly in CI.
anthropic, ant cli, managed agents, infrastructure as code, skills
Guide · Anthropic · Intermediate to advanced
You want Anthropic's current managed-agent starting point, including the Agents, Sessions, and Environments APIs for autonomous sessions, built-in tools, and secure execution.
anthropic, managed agents, agents, sandboxing, tool use
Quickstart · Anthropic · Intermediate to advanced
You want Anthropic's task-oriented path for creating an agent, wiring an environment, starting a session, and streaming work instead of jumping between lower-level reference pages.
anthropic, managed agents, agents, sessions, environments
Guide · Anthropic · Intermediate to advanced
You want Anthropic's current cost-control guidance for Managed Agents sessions, especially after the August 7, 2026 session-budget update in the platform release notes.
anthropic, managed agents, budgets, cost controls, sessions
Guide · Google AI for Developers · Intermediate
You want the official overview of Gemini managed agents, sandbox behavior, and when to use agent workflows instead of plain model calls.
gemini, agents, interactions api, deep research, coding agents
Quickstart · Google AI for Developers · Intermediate
You want Google's practical quickstart for building a managed Gemini agent that streams responses, keeps multi-turn state, uses the Antigravity sandbox, and can return files instead of reading only the higher-level overview.
gemini, managed agents, interactions api, tools, stateful workflows
Guide · Google AI for Developers · Intermediate to advanced
You want to extend Gemini's managed-agent harness with your own instructions, skills, and data instead of using the default Antigravity setup unchanged.
gemini, managed agents, custom agents, skills, stateful workflows
Guide · Google AI for Developers · Intermediate to advanced
You need Google's exact sandbox, source-mount, and network-control model before trusting a managed Gemini agent with code, files, or long-running work.
gemini, managed agents, sandbox, skills, hooks
Playground guide · Google AI for Developers · Intermediate
You want the visual Gemini playground for prototyping managed-agent instructions, tools, and environments before committing to API code.
gemini, ai studio, managed agents, playground, sandbox
Release notes · Anthropic · Intermediate
You need Anthropic's primary-source release stream for current model launches, retirements, and platform changes, including the June 5, 2026 Claude Opus 4.1 deprecation notice and its August 5, 2026 retirement.
anthropic, claude, release notes, model deprecations, managed agents