Launchstack gives each coding agent an isolated branch and a cloud development environment. Use it to build features, fix bugs, run tests, and prepare pull requests without tying up your laptop.
Build the auth flow with GitHub OAuth
Ask Launchstack to trace a bug, add a feature, update a dependency, or repair a failing build. The agent can inspect the repository, edit files, run commands, and verify its work in one session.
Every session gets an isolated cloud sandbox and its own Git branch. Agents can install dependencies, start development servers, and test changes without competing for your local files or compute.
Launchstack runs each agent turn as a durable workflow. You can leave the page, reconnect from another device, and continue following the same run instead of keeping a browser tab and local process alive.
Launchstack gives the agent everything it needs to do the work in the cloud, then brings you back a tested, reviewable change.
Prompt + repository
Plan · edit · test
Branch + preview
Diff · commit · PR
Skip the framework comparison spiral. AI weighs the product shape, team constraints, and operating cost to recommend a lean starting architecture.
Reading the product brief and matching its responsibilities to the technology catalog…
Main tradeoff
The architecture tradeoff will appear with the recommendation.
Technology marks provided by SVGL.
Use it for contained engineering tasks with a clear finish line. Every task stays isolated, produces a reviewable diff, and can move from request to pull request in the cloud.
Hand off a scoped feature that touches components, APIs, tests, or configuration. The agent works across the repository and checks the result.
Implement [feature] in this repository. First inspect the existing architecture and conventions. Make the smallest complete change, add or update relevant tests, and run the project's lint, type-check, and test commands before summarizing the result.
Send an error, failing test, or broken flow. The agent searches for the cause, makes a targeted change, and runs the relevant checks.
Review the current branch for bugs and regressions. Trace each issue to its root cause, prioritize findings by user impact, and fix confirmed problems with targeted changes. Run the relevant tests and report what you verified.
Give an agent a failing check to investigate. It can inspect logs, update the branch, and rerun the same project commands before you review it.
Investigate the failing CI checks on this branch. Reproduce each failure locally, identify whether it comes from the branch or the baseline, and fix only branch-related issues. Rerun the same checks CI uses and summarize any failures that remain.
Start separate sessions for independent tasks. Each one gets its own sandbox and branch, so work can move at the same time without file conflicts.
Take ownership of [backlog task]. Keep the work limited to this task, preserve unrelated changes, and follow the repository's existing patterns. Verify the completed path and leave the branch ready for review with a concise summary of files changed and checks run.
Pro subscription
Pro is optional for users who want Launchstack to manage their AI usage. The allowances below apply to each paid monthly billing period.
Use your Codex subscription or an OpenRouter key for free, or choose Pro to get included AI usage and more cloud workspace time.
$29USD / month
Monthly renewal. No free trial, annual commitment, metered overages, or allowance rollover. Applicable tax is shown at checkout. Managed inference and sandbox time are separate limits; sandbox time measures running wall-clock time, including waits.
Start for freePricing, cancellation, and refunds
