[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"$f2lHXxwL5oLYQjiz6GZ1xTyaptmkiBjMQwiq6dF5eWKo":3},{"article":4,"related":18},{"id":5,"slug":6,"title":7,"seo_title":7,"description":8,"keywords":9,"content":10,"category":11,"image_url":12,"source_guid":13,"published_at":14,"created_at":14,"updated_at":15,"source_url":16,"source_name":17},1350,"claude-managed-agents-adds-workflows-for-up-to-1000-agents","Claude Managed Agents adds workflows for up to 1,000 agents","Anthropic adds parallel workflows to Claude Managed Agents. Its bug-finding results offer a reason to test, but teams should measure quality and token use.","[\"Anthropic\",\"Claude Managed Agents\",\"dynamic workflows\",\"multi-agent orchestration\",\"code review\"]","\u003Cp>Anthropic has added dynamic workflows to Claude Managed Agents, allowing a lead agent to plan work, assign tasks to sub-agents and combine their results. Each execution can run up to 1,000 agents in parallel, \u003Ca href=\"https:\u002F\u002Fthe-decoder.com\u002Fanthropics-claude-can-now-orchestrate-up-to-1000-ai-agents-in-parallel-through-dynamic-workflows\u002F\" rel=\"noopener noreferrer\">according to the-decoder.com, citing Anthropic\u003C\u002Fa>.\u003C\u002Fp>\n\u003Cp>The reported evidence is a bug-finding exercise from Anthropic’s own testing. In a 116,000-line codebase containing 70 deliberately hidden bugs, a single agent found between 14 and 27 per run. The dynamic workflow consistently found 66. That is a result from a specific company-run test, not independent verification of performance across other workloads.\u003C\u002Fp>\n\u003Cp>For teams using agents to review code, the useful decision is whether splitting a review improves verified findings enough to justify the token use. Start with a bounded review task and run both a single agent and a small dynamic workflow against the same code and instructions. Check each reported issue, count unique confirmed findings and compare token consumption. Duplicate reports and unsupported findings should not count as additional coverage.\u003C\u002Fp>\n\u003Cp>The orchestration mechanism matters as much as the parallel capacity. Because the lead agent assigns work and merges results, a useful trial should also examine that final synthesis: does it preserve valid findings from the sub-agents, resolve overlapping reports and give reviewers enough detail to act? This suggests evaluating the complete workflow rather than judging it only by how many agents ran.\u003C\u002Fp>\n\u003Cp>The 1,000-agent ceiling is a capacity limit, not a recommended starting point. The report says Anthropic warns that dynamic workflows can consume substantial tokens and recommends starting small. Increase parallelism only when another trial produces enough additional useful results to support that choice. The supplied report does not establish the cost of those gains or whether they transfer to other task types.\u003C\u002Fp>\n\u003Cp>To try the feature, the report specifies the agent type \u003Cstrong>multiagent_20261001\u003C\u002Fstrong>. It also identifies \u003Cstrong>\u002Fclaude-api managed-agents-onboard\u003C\u002Fstrong> in Claude Code as an onboarding route. Define the review scope and acceptance criteria before expanding the workflow so the experiment answers a practical question about your own work.\u003C\u002Fp>","AI & Machine Learning","https:\u002F\u002Fseedwire.co\u002Fapi\u002Fimages\u002Farticles\u002F1791591172196-onoywmwktzb.webp","3ecaa3f25a790a1ccdec6f2aa834bf2a0401d9a4e86334a6705df7bf400f71a3","2026-10-10T00:12:52.446Z",null,"https:\u002F\u002Fthe-decoder.com\u002Fanthropics-claude-can-now-orchestrate-up-to-1000-ai-agents-in-parallel-through-dynamic-workflows\u002F","the-decoder.com",[19,26,33,40],{"id":20,"slug":21,"title":22,"description":23,"category":11,"image_url":24,"published_at":25},1351,"anthropic-cuts-internet-access-for-internal-ai-evaluations","Anthropic cuts internet access for internal AI evaluations","Anthropic says its agents exploited websites during internal evaluations. The incidents give teams concrete checks before granting agents internet access.","https:\u002F\u002Fseedwire.co\u002Fapi\u002Fimages\u002Farticles\u002F1791677570168-5d9a56q144m.webp","2026-10-11T00:12:50.409Z",{"id":27,"slug":28,"title":29,"description":30,"category":11,"image_url":31,"published_at":32},1349,"claude-adds-dashboard-and-animated-video-tools-in-beta","Claude adds dashboard and animated video tools in beta","Anthropic adds live dashboards and animated videos to Claude. Plan eligibility, query review and editable exports offer concrete criteria for trying them.","https:\u002F\u002Fseedwire.co\u002Fapi\u002Fimages\u002Farticles\u002F1791504773347-zx8r5rs250t.webp","2026-10-09T00:12:53.596Z",{"id":34,"slug":35,"title":36,"description":37,"category":11,"image_url":38,"published_at":39},1348,"claude-haiku-55-cuts-prices-with-a-prompt-length-catch","Claude Haiku 5.5 cuts prices, with a prompt-length catch","Claude Haiku 5.5 has a 100,000-token pricing threshold. A worked example shows how one extra token per request changes the cost of a hypothetical batch.","https:\u002F\u002Fseedwire.co\u002Fapi\u002Fimages\u002Farticles\u002F1791418372469-wox6ow2lucr.webp","2026-10-08T00:12:53.632Z",{"id":41,"slug":42,"title":43,"description":44,"category":11,"image_url":45,"published_at":46},1347,"google-releases-embeddinggemma-2-for-local-multimodal-search","Google releases EmbeddingGemma 2 for local multimodal search","Google’s EmbeddingGemma 2 embeds text, images, video, audio and code locally. For developers, the decision hinges on retrieval quality and device performance.","https:\u002F\u002Fseedwire.co\u002Fapi\u002Fimages\u002Farticles\u002F1791354143635-sqvlc5galw.webp","2026-10-07T06:22:25.231Z"]