A recorded workflow
Game Assembling
An Assembler prototype workflow that assembles a game project from modular, pre-built templates.
Explore Assembler and all five demos
For people with a game in mind
Your idea deserves more than a promising first build. We're building Starward to help creators, experts, and AI work from clear goals, check what works, and learn from real play.
↳ Join the waitlist for early access. Initial pilots are invitation-only.

01 / Intent
Start with the game03 / Evidence
What changed?Real game imagery · Workflow illustration
For creators with a clear idea and limited technical resources.
A practical path toward something people can play.
01 / A clearer development loop
A game keeps changing. The workflow we're building connects each change to the rules behind it, evidence you can review, and what happens when people play.
Define the game, its rules, and what a good result should do.
Turn an agreed scope into a working change with AI agents.
Check behavior and review the evidence before moving on.
Put a reviewed build in the hands of invited players.
Connect player experiences to what actually happened in the game.
Use what you learn to choose and verify the next change.
Our first milestone: a verified build for invited players. People review the work and decide when to release.
The Starward Platform / Assembler
Our main platform product brings game creation, AI-assisted changes, and verification into a shared workspace. See an early project-assembly workflow in this recorded prototype demo.
A recorded workflow
An Assembler prototype workflow that assembles a game project from modular, pre-built templates.
Explore Assembler and all five demosThese recordings show prototype workflows. Assembler is in development; access is invitation-only.
A game to learn fromA real project, and an ongoing experiment
Working solo with AI, Hengstar designed and developed Starward Game Services from the ground up on open-source foundations. He then migrated Panda Wonderland, his existing commercial game, onto it. Building the backend was the central work; Panda gives it a real setting to test assumptions and discover what needs to improve.
I need to define what good looks like, review the result, and be able to follow what happened when something goes wrong.
Hengstar Gong · From the published account of building Starward Game Services
Read the story02 / What we're connecting
Give people and agents a shared understanding of the game and what each change needs to achieve.
Bring changes and verification results together so you can judge what works and what still needs attention.
Use evidence from a running game to understand problems and guide the next fix, test, or improvement.
Early access starts here
Join the Starward waitlist for updates and early access. We're starting with invitation-only pilots for creators making a new game. Joining the list does not grant immediate platform access.
Join the Waitlist
Tell us what you'd like to make.
03 / The longer view
Our long-term goal is to automate development, verification, release, and operations within goals, budgets, and permissions you approve. Expert agents would help along the way, with exceptions and major decisions returned to people. We're building toward that future one reviewable step at a time.
Why I'm building Starward
I'm Hengstar, Starward's founder and a former Meta Staff Engineer. Building my own games with AI keeps bringing me back to the same question: how can I spend more time deciding what the game should become, and less time rebuilding context and checking disconnected pieces? Starward is how I'm working through that question, in practice.
More about StarwardBuilt from making games ourselves.