ab-test-setup
FreePlan, design, and implement A/B tests and experiments with statistical rigor. Covers hypothesis frameworks, sample sizing, metrics, and result analysis.
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Dev Containers: reproducible dev environments in .devcontainer/ for VS Code, Codespaces and CI, plus an isolated container for running coding agents. Set up, add services, or harden for agents.
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Run score Not tested
See how to installReview the instructions the agent will receive before you install.
A .devcontainer/ folder gives everyone the same toolchain in one command: VS Code "Reopen in Container", GitHub Codespaces, or devcontainer up in CI. It is also the practical way to isolate a coding agent on Windows, where Claude Code's sandbox does not run natively.
| Mode | Does |
|---|---|
setup | A single-container devcontainer.json for the project's stack |
compose | The app container plus its services (database, cache) through Docker Compose |
agent | A container for running Claude Code isolated from the host |
Detect the stack and versions from the lockfiles, .nvmrc, go.mod, .tool-versions or global.json before proposing anything.
devcontainer.json{
"name": "app",
"image": "mcr.microsoft.com/devcontainers/typescript-node:<version>",
"features": {
"ghcr.io/devcontainers/features/github-cli:1": {}
},
"forwardPorts": [3000],
"postCreateCommand": "npm ci",
"remoteUser": "node",
"customizations": {
"vscode": { "extensions": ["dbaeumer.vscode-eslint", "esbenp.prettier-vscode"] }
}
}
| Key | Rule |
|---|---|
image / build | A mcr.microsoft.com/devcontainers/* image pinned to a version tag; build.dockerfile only when features cannot do it |
features | Add tools (CLI, language runtimes) as features instead of apt lines; pin the major (:1) |
postCreateCommand | Install from the lockfile (npm ci, go mod download), never npm install |
remoteUser | A non-root user |
remoteEnv / containerEnv | Secrets come from the host with ${localEnv:VAR}; never write them into the file, which is committed |
forwardPorts | Only the ports the app serves |
Versions match production: the same runtime major as the Dockerfile and CI.
Point devcontainer.json at a compose file and keep the database in its own service:
{
"dockerComposeFile": ["../docker-compose.yml", "docker-compose.devcontainer.yml"],
"service": "app",
"workspaceFolder": "/workspaces/${localWorkspaceFolderBasename}",
"shutdownAction": "stopCompose"
}
The override file adds only what development needs (the workspace mount, command: sleep infinity); the base docker-compose.yml stays usable without Dev Containers. Healthchecks and depends_on: condition: service_healthy as in /docker-setup.
Anthropic publishes a reference container for Claude Code (.devcontainer/ in the anthropics/claude-code repo; docs page "Development containers"). It runs Claude Code as a non-root user and adds init-firewall.sh, which denies outbound traffic except an allowlist (npm registry, Anthropic API, GitHub, VS Code marketplace). It needs runArgs: ["--cap-add=NET_ADMIN", "--cap-add=NET_RAW"] and runs the script from postStartCommand.
target=/home/node/.claude), not a host mount.~/.ssh, ~/.aws, cloud credential files, the host's .env.--dangerously-skip-permissions inside it, with a warning to repeat to the user: the workspace is bind-mounted, so Claude can still change any project file on the host, and a malicious project can exfiltrate anything inside the container, including the Claude Code credentials, to any allowed domain. Keep git as the safety net (commit before, review the diff after), and on shared machines block the flag with permissions.disableBypassPermissionsMode: "disable" in managed settings (/coding-agent-guardrails).Run npx @devcontainers/cli up --workspace-folder . and then npx @devcontainers/cli exec --workspace-folder . <test command>. The same two commands run the container in CI.
/docker-setup for the production images./ci-cd-setup to run CI in the same container./coding-agent-guardrails for the other layers around an agent.No reviews yet. Tell others what you thought.
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Plan, design, and implement A/B tests and experiments with statistical rigor. Covers hypothesis frameworks, sample sizing, metrics, and result analysis.
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