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cv usk
@cv_usk
AI / Software Research Notes AI Agent, LLMOps, MLOps, Software Architecture 投稿は個人の意見です。
加入 May 2026
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# Antigravity Features and Practical Usage 🚀 A large refactor handled by several agents working at once. Subagents turn one agent into a team. 📌 Title and Feature URL Title: Subagents URL: 📝 Overview Subagents enable parallelized workflows. When the main agent receives a complex task, it automatically breaks it into subtasks and spawns independent subagents that execute concurrently. The finished results are then aggregated back into the conversation. 🔧 How It Works Subagent orchestration runs largely autonomously: - Environment profiling: it checks permissions, reads directories, and verifies dependencies. - Autonomous subagent definition: the orchestrator decides how to decompose the work without user configuration. - Parallel spawning: once dependencies are met, agents with isolated context windows run simultaneously. - Output synthesis: the orchestrator assembles each subagent's output into the final deliverable. - It also combines with background automation such as scheduled tasks. 🛠 Practical Usage - Hand over a large task and let the main agent split it into subtasks automatically. - Process work in parallel by package or module so independent changes proceed at once. - Let the orchestrator manage ordering, since subagents launch as dependencies resolve. - Have the finished diffs aggregated into the conversation for a single review. 🎯 Use Cases - Split a large refactor by package, run it in parallel, and aggregate the completed diffs into the conversation. - Advance several independent features at the same time to cut waiting time. - Run a bug bash that fans out across a broad surface to surface issues quickly. - Assign research and code changes to separate subagents that work in parallel. ⚠️ Caveats - The orchestrator decides decomposition autonomously, so review the results to ensure the split matches your intent. - Parallel execution involves multiple concurrent environments and model calls, so watch cost and rate limits. - Tasks with tight dependencies may see limited benefit from parallelization. #Antigravity# #Agents#
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