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Coding Agents & Autonomous Engineering

This category is the highest-priority part of the use-case plan because it lines up with AerolVM's best primitives: isolated sandboxes, streamed execution, persistent sessions, file transfer, and explicit lifecycle control.

Selected subcategories

Use case	Rating	Why it made the cut
Claude Code repository architecture agent	10/10	It shows a real headless agent workflow that turns an open-source repository into a reusable architecture artifact.
Claude Code GitHub PR review and auto-fix agent	9/10	It is the closest match to a real coding-agent review loop: check out the PR, review it with Claude, post the review, and export any safe fixes.
Write 500 test cases	9/10	It turns large-scale test authoring into a measurable agent workflow with a hard completion gate and exported validation artifacts.
Claude Code security vulnerability remediation agent	9/10	It turns dependency and code vulnerability remediation into a real multi-step security workflow that ends with an actual pull request.
Zero-shot code execution agent	9/10	It turns an open-ended repository modification prompt into a real sandboxed execution loop that validates the result and opens a pull request.

Why AerolVM fits this category

create provisions one sandbox per task, repo, or branch.
execStream gives live stdout and stderr for agent progress.
createSession and attachSession keep long-running jobs alive across reconnects.
uploadFile and downloadFile move prompts, patches, logs, and artifacts in and out.
updateLifecycle keeps expensive work alive while an orchestrator or reviewer is still attached.

Recommended implementation pattern

Create one sandbox per work item.
Clone the target public repository inside the sandbox, then upload prompts, task metadata, and policy files.
Run the agent with execStream for shorter jobs or sessions for long migrations.
Download the diff, report, or reproduction artifact.
Destroy or stop the sandbox once the review loop is complete.