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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。
가입 May 2026
281 팔로잉 중    421 팬
# Cursor Features and Practical Usage ☁️ While your machine sleeps, multiple cloud agents work in parallel on separate branches and hand you back review-ready PRs. Cloud Agents free the agent from the "one laptop" constraint. 🏷️ Title: Cloud Agents 🔗 URL: 📘 Overview Cloud Agents are autonomous agents that run in isolated virtual machines rather than locally. You can run many of them at once on dedicated cloud infrastructure and keep work going without keeping your own machine online. Each agent gets a complete development environment in its own VM. ⚙️ How It Works ・Parallel and independent: launch multiple agents simultaneously, each in its own VM, free of local constraints ・Isolated branches: clone the repo from GitHub, GitLab, Azure DevOps Services, or Bitbucket Cloud, work on a separate branch, and push changes as a PR, keeping work isolated until review ・Verifiable: agents receive full context on your codebase and organization so they can run tests and query services to verify their work ・PRs with artifacts: produce merge-ready PRs with screenshots, videos, and logs. You can even remote-control the agent's desktop to test without checking out the branch locally ・Multi-repo: make coordinated changes across separate frontend, backend, infrastructure, or shared-library repositories Agents reach external tools, databases, and APIs via MCP servers, and repository hooks from `.cursor/hooks.json` run too (excluding IDE-specific and user-level hooks). 🛠️ Practical Usage There are many launch paths: Cursor Web ( the Desktop agent dropdown set to `Cloud`, `@cursor` from Slack/GitHub/Linear, the API, the native iOS app, and an Android PWA. The single most important step for effectiveness is configuring `.cursor/environment.json`, which replicates a full dev environment including the cloned repo, dependencies, secrets, startup commands, and network access. You can set it up via agent-led automatic init, saved snapshots, or a Dockerfile. 💡 Use Cases In the morning, fan out several tasks to the cloud ("investigate this bug and open a fix PR"), and by midday you have a queue of review-ready PRs. Because agents run tests and query APIs autonomously, humans can focus on review. ⚠️ Caveats Agents need read-write access to your repo and dependent repos/submodules, and a paid plan is required. Manage secrets via the Secrets tab in the dashboard rather than `.env.local`. User-level `~/.cursor/hooks.json` is unavailable to cloud VMs. Pricing is standard API billing for the selected model, and you set a spend limit before first use. You can select the context window size for supported models, and a larger window increases token usage and cost. Supported source control providers are GitHub, GitLab, Azure DevOps Services, and Bitbucket Cloud. #Cursor# #CloudAgents#
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