Self-hosted AI workspace

Build, review, verify, deploy.

Hanasand keeps AI work tied to source files, browser evidence, deploy state, and handoff history so small software projects can move from prompt to production without losing control.

Describe the change

Start with a goal, repo, or blank workspace and keep the conversation tied to files.

Review real edits

Inspect generated files, apply changes deliberately, and keep handoff context visible.

Verify before release

Use browser proof, build checks, deploy state, and rollback notes before calling work done.

Self-hosted control

Designed around portable source, Dockerized services, and explicit production checks.

Evidence-first workflow

The product favors visible logs, screenshots, status, and changed files over vague success copy.

Deploy-aware handoffs

Release and recovery context stays close to the workspace instead of disappearing into terminal scrollback.

Launch fit

For shipping real software, not just demos.

Hanasand is strongest when teams need the AI workspace, editor, status surface, and deploy evidence in one self-hosted loop.

Best for

Technical founders and small teams that want AI speed without giving up source, review, or deployment control.

Replaces

Scattered chat threads, one-off prototypes, manual smoke notes, and terminal-only deploy handoffs.

Requires

A project owner who can connect a repo, model lane, or server target and review generated changes before release.

Not for

Pure no-code buyers who want a hosted template marketplace and never want to inspect files or runtime state.

Operating checklist
Connect a repo, workspace, or server target before relying on deploy handoffs.
Keep at least one model lane or human reviewer available for generated changes.
Run build, browser, and rollback checks before treating AI work as production-ready.