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1Fix the driver behind crashes, sound loss and screen glitches2Clear out junk files and repair common Windows errors3Scan for outdated or missing drivers - takes under a minuteBivack lets you run selected coding agents in a per-user AWS Lambda MicroVM, then reconnect through a browser terminal or workbench to the same environment. Its home directory persists on Amazon S3 Files across MicroVM restarts. The trade-off is a self-managed AWS deployment, network-backed storage that the author says is slower than local disk, and a trust boundary that still includes credentials users choose to save in that home.
What Bivack puts in the cloud
Bivack is a self-hosted development sandbox described by its author, Gunnar Grosch. Instead of keeping an agent’s task tied to a laptop, an operator deploys AWS infrastructure and gives each user a Lambda MicroVM. The user can close a browser and reconnect later, or use another device, while returning to the same per-user machine and files.
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The unit is one machine per user, not one machine per agent. Agents selected for that user share the machine, workspace, and files. That arrangement can suit work that needs a persistent shell and a common project directory; it does not give each agent a separate VM.
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One free scan finds every outdated or missing driver and matches the right update for your exact hardware.Free scan · exact hardware matchThe implementation and cost examples below are Grosch’s account in an Ileventech article published September 21, 2026. They are not independent security tests, performance measurements, or current AWS price quotes.
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How sign-in leads to a browser workspace
- Authenticate: The user signs in through Amazon Cognito. API Gateway validates the JWT.
- Find or create the user environment: A token Lambda function maps the verified user subject to an S3 Files access point and a MicroVM. Grosch says the function creates those resources on the first request.
- Connect: The function returns a short-lived token and the VM endpoint. A browser terminal client or self-hosted VS Code workbench connects to that machine over WebSocket.
- Mount the home: A MicroVM lifecycle hook mounts the user’s persistent home directory.
Why the terminal and editor use WebSockets
The client design follows an authentication constraint in the described Lambda MicroVM endpoint: it expects the token in the X-aws-proxy-auth header. Browser code can set a header for fetch requests or a WebSocket handshake, but ordinary page navigation and the page’s later subresource requests cannot supply that custom header. As Grosch explains it, that makes serving a conventional web IDE directly from the VM impractical in this setup. Bivack instead serves the browser interface separately and has its terminal and workbench connect to the VM using authenticated WebSockets.
What persists—and what does not
The MicroVM is described as disposable and suspendable; the user’s home is stored on S3 Files so it can be mounted again after a restart. This separates the lifetime of the machine from the lifetime of the user’s files. It also means filesystem activity depends on network-backed storage. Grosch explicitly warns that the home is slower than a local disk, so workloads that make heavy use of small, frequent file operations may feel different from a laptop’s SSD.
Persistence is useful for resuming work, but it is not the same as a backup or a guarantee against data loss. The described account establishes a persistent home across VM restarts, not a particular backup, recovery, or retention policy. An operator should decide separately how project data and user homes are backed up.
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Understand the credential boundary before sharing it
Grosch says the sandbox does not have access to the AWS account that hosts the Bivack stack. That is a meaningful boundary around the deployment account, but it does not make the environment credential-free. Users may sign in to coding-agent providers or other services inside the sandbox; those credentials are saved under the persistent home and remain inside that user’s trust boundary.
For a team deployment, the operator owns the bucket containing users’ homes and can read teammates’ provider logins, according to the article. Treat the operator as trusted with that data. This arrangement may be unsuitable where policy requires that administrators cannot access user credentials, or where credentials must not persist on a shared service.
Agents, tools, and image changes
Grosch says the generated configuration enables Claude Code by default. Codex, OpenCode, and Kiro CLI are opt-in, as are some infrastructure command-line tools. Tools are packaged into the image rather than installed separately by each user into an ephemeral VM.
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Changing the image’s tools triggers an image rebuild and VM recycle. Grosch reports builds taking five to ten minutes; that is an author-reported duration, not a benchmark or service-level guarantee. Because a recycle affects the machine, operators should account for rebuilds when managing active work, even though the persistent home is intended to remain available.
What deployment requires
The prerequisites and version numbers below are those listed in Grosch’s September 21, 2026 article, not a guarantee that they remain current. He says the deployment needs AWS CLI v2 2.35.10 or newer, AWS SAM CLI 1.163.0 or newer, Node.js 20 and npm, zip, Python 3, AWS authentication, and a region where Lambda MicroVMs are available. The article uses us-east-1 in examples; that example alone does not establish service availability in every region. Check current AWS service documentation, limits, and regional availability before choosing a deployment region.
The described flow is to clone the project, copy deploy.env.example to deploy.env, configure the AWS profile, region, and login email, then run the deployment script. Docker is not listed as a prerequisite because the image build is performed server-side.
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- Clone the Bivack project using its documented repository instructions.
- Copy
deploy.env.exampletodeploy.env. - Set the AWS profile, target region, and login email in
deploy.env. - Authenticate to AWS and run
./scripts/deploy.sh. - Follow the project’s first-login flow; Grosch describes a temporary password for the initial sign-in.
The article also describes teardown, optional NAT configuration, budget email alerts, and break-glass tooling. Those are parts of the project’s deployment flow, not independently verified behavior. Review the project’s current instructions before applying or removing infrastructure, and confirm what will be deleted or retained—especially the persistent user homes.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.Cost depends on more than whether a VM is active
Grosch describes MicroVM compute as billed while running and says suspended compute costs nothing; storage remains a cost. That is a useful way to think about the architecture, not a complete bill estimate. The total depends on the AWS services and configuration actually deployed, how long users run machines, storage usage, network traffic, and region. Check current AWS pricing rather than treating the author’s examples as quotes.
For context only, the article’s deployment example sets an optional monthly AWS Budget to $25 when configured, with email alerts at 80% and 100%. Grosch also estimates a small NAT instance at a few dollars per month and a managed NAT Gateway at roughly ten times that amount. These are dated author estimates, not verified or generally applicable prices.
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How Bivack compares with other ways to run agents
| Approach | Environment and isolation | Persistence and access | Main trade-off |
|---|---|---|---|
| Local agent environment | Agents, credentials, and source stay on the user’s own device. | Work is tied to that device; the device must remain available for long-running tasks. | Least cloud infrastructure to operate, but less convenient for switching devices or leaving long tasks running when the laptop is unavailable. |
| Hosted agent service | The provider runs the task; environment control is more limited, and code is placed in the service provider’s account. | Access and persistence depend on the service. | Less infrastructure setup, in exchange for giving the provider more control over the execution environment and custody of code. |
| Self-managed VPS | A familiar persistent host, but users share a host and kernel. | The box must stay running; the author notes that its local home is lost if the box is lost. | Grosch’s article estimates about $5 per month for a small VPS setup, but that dated estimate is not a current price quote. It also lacks Bivack’s per-user MicroVM arrangement. |
| Bivack | One Lambda MicroVM per user; that user’s selected agents share the machine. | Browser terminal and workbench reach the same machine; S3 Files backs the home across VM restarts. | Requires operating an AWS stack and accepting network-backed home storage that the author says is slower than local disk. |
The useful comparison is not just a monthly compute figure. Consider who controls the environment, where code and credentials live, what is isolated from what, whether work survives restarts or device changes, and who is responsible for keeping the system available. Also account for active compute, idle behavior, storage, networking, and filesystem performance.
Who is likely to benefit
Bivack is most compelling for a developer or team that wants a browser-accessible, persistent environment, prefers to operate its own AWS stack, and accepts that an infrastructure operator can access team homes. Its per-user VM model can separate users’ machines while allowing multiple selected agents for one user to share a workspace.
A local setup is simpler when the laptop is the intended home for source and credentials. A hosted service reduces infrastructure work if provider-run execution and code custody are acceptable. A VPS may be a more familiar persistent host when per-user MicroVMs and browser access are not worth the added AWS components. Bivack’s distinction is the combination of per-user Lambda MicroVMs, S3 Files-backed homes, and browser access—not a demonstrated promise of lower cost or stronger security.
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