# Background Coding Agents Background coding agents take delegated software tasks and keep working asynchronously, while developers stay available to inspect, steer, and review the result. - Canonical: https://tryreplicas.com/background-coding-agents - Start a workspace: https://tryreplicas.com/auth?mode=signup - Cloud coding agents: https://tryreplicas.com/cloud-coding-agents ## What is a background coding agent? A background coding agent is an AI coding agent that continues working after a developer delegates a task. It can inspect a repository, run commands, edit files, run tests, and return output without requiring the developer to keep an editor session open. Background does not mean unsupervised. The useful version of the workflow keeps humans in the loop through session visibility, comments, CI results, file diffs, and pull request review. ## Where background coding agents work best Background agents are strongest when the task has enough context to start, a clear definition of done, and a reviewable output. - **Small implementation tasks:** UI fixes, product tweaks, integration changes, and backlog items that can be scoped from an issue or prompt. - **Follow-up work:** Review comments, failing CI checks, static analysis findings, and cleanup tasks that already identify the problem. - **Long-running verification:** E2E test runs, flaky test investigation, dependency checks, or setup validation that benefits from isolated compute. - **Investigation tasks:** Reproducing a bug, tracing a failure, summarizing affected files, or returning notes when a code change is not the right output. ## Why background coding agents usually need cloud workspaces Background work needs somewhere to run. A cloud workspace gives the agent a repository checkout, terminal, files, environment variables, and enough compute to continue while a developer is elsewhere. That is why background and cloud are closely related. Cloud describes the runtime. Background describes the delegation model. - The task can continue while a laptop is closed. - Multiple agents can work in parallel on separate branches. - Commands, test logs, files, and final outputs remain inspectable. - Teams can standardize environment setup instead of relying on every developer machine. ## How Replicas approaches background coding agents Replicas focuses on running familiar coding agent harnesses in cloud workspaces. Teams that already trust Claude Code, Codex, Cursor, or Opencode can use those workflows without moving every task back to a local machine. The platform is also designed around workflow entry points: GitHub, Linear, Slack, the dashboard, and automation loops that react to CI and review feedback. - **Trusted harnesses:** Use the coding agents engineers already understand instead of forcing every team into a single proprietary agent experience. - **Bring your own inference path:** Where the underlying agent supports it, teams can use existing subscriptions, API keys, credits, or enterprise agreements. - **Reviewable sessions:** Inspect the workspace, commands, file changes, test results, and final output before deciding what ships. - **Automation-ready:** Turn repeated engineering signals into delegated work instead of one-off chat prompts. ## How to evaluate a background coding agent platform A useful evaluation is less about a single demo and more about whether the platform can safely absorb recurring engineering work. - Can it run in isolated cloud workspaces? - Can humans inspect and steer work while it is running? - Can it return outputs beyond pull requests, such as test logs or investigation notes? - Can it start from GitHub, Linear, Slack, or automation triggers? - Can your team control model access, credentials, and repository permissions? ## FAQ ### Are background coding agents the same as cloud coding agents? They overlap, but they describe different things. Cloud describes where the agent runs. Background describes the fact that the delegated task can continue asynchronously. A cloud coding agent can be used for background work while still keeping a human in the loop. ### Does background mean autonomous with no review? No. Strong teams still review diffs, test results, logs, and final notes. Background work is about parallelizing engineering effort, not removing engineering judgment. ### What outputs can background coding agents produce? Pull requests are common, but background agents can also produce test results, bug reproduction notes, CI summaries, setup validation, or recommendations when a code change is not the right answer. ## Related docs - [Cloud coding agents](https://tryreplicas.com/cloud-coding-agents): Learn the broader cloud runtime category for delegated software engineering work. - [AI coding agents](https://tryreplicas.com/ai-coding-agents): Understand how coding agents differ from autocomplete and chat-based coding assistants. - [Best cloud coding agents](https://tryreplicas.com/best-cloud-coding-agents): Compare cloud coding agent platforms by workflow fit and team needs.