
Behind the game: how QAble solved Astrocade AI's testing woes
Daily exploratory testing, negative testing, smoke test automation, and Asana workflow restructuring for the world's first AI game generator.
Client
Astrocade
Headquarters
Ahmedabad, India
Industry
Gaming / AI
Product
AI text-to-game platform
Technologies and tools
Results by the numbers
1,000
Test cases written
765
Stage defects resolved
816
Production defects resolved
350+
Issues logged monthly
7
Challenges systematically resolved
Daily
Exploratory testing cadence
Here's a bit about Astrocade
Industry
Gaming / AI
Product
AI text-to-game
Challenges
7 systematically solved
Bugs logged
350+ per month
Astrocade turns text prompts into interactive games using generative AI, automating art, animation, music, and gameplay mechanics from a single user input. The product sits at the frontier of AI-generated entertainment, where quality assurance requires thinking beyond conventional testing playbooks.
QAble partnered with Astrocade to address key QA gaps: complex AI behavior validation, inadequate negative testing, frequent UI changes, and a development pace that demanded daily coverage at scale. We implemented systematic exploratory and negative testing, prioritized the AI core, and built a living test infrastructure that could evolve with the product.
Before and after QAble
Before QAble
With QAble
No structured approach to testing complex AI-generated outputs
Internal team focused on happy flow, negative testing absent
AI behavior persistence not validated across varied scenarios
Frequent UI changes caused test case drift
No QA support during client's active development hours
Daily smoke tests consistently incomplete due to time constraints
Asana task management creating bottlenecks at team scale
No systematic defect discovery across the rapid build cycle
Our engagement
We joined the Astrocade team at a point where conventional QA methods were not equipped to handle what they were building. Astrocade turns text prompts into fully playable games using generative AI, automating art, animation, music, and gameplay mechanics from a single input. The quality challenge was unlike anything in traditional game testing: AI outputs are inherently variable, UI iterated rapidly, and the development pace demanded daily coverage at a scale the internal team could not sustain alone.
Our first priority was restructuring how the team approached testing. The internal focus on happy-flow scenarios was missing the edge cases most likely to surface AI behavioral gaps. We specialized our engagement around exploratory and negative testing, running daily sessions designed specifically to exercise the unusual states and unexpected inputs that structured test cases would never reach. The AI's wish-fulfillment module, as the platform's core mechanic, was designated as the highest-priority test surface in every sprint.
We addressed the operational gaps in parallel. Dedicated resources were assigned to match the client's active development time zone, enabling real-time collaborative testing during their most critical windows. Smoke test automation replaced the fragile manual process, ensuring every build received a stability check regardless of schedule pressure. In Asana, we introduced a QA Ready Tasks section and restructured the workflow around module-based status tracking, reducing coordination overhead and giving the team full visibility into what was tested, what was blocked, and what needed escalation.
Engagement highlights
"Our experience with QAble has been exceptional. They are nothing short of remarkable, highly skilled, detail-oriented, and committed to delivering the best possible results."
Ali Sadeghian
CTO, Astrocade
Test cases written
1,000
Stage defects
765 resolved
Production defects
816 resolved
Issues logged monthly
350+
What QAble delivered
Services
Exploratory and negative testing
We set up daily exploratory testing to catch unusual bugs that typical testing might miss. Our team specialized in negative testing, beyond 'happy flow' scenarios, which revealed edge cases and unpredictable game behaviors that the internal team had not been exercising. This daily cadence of unscripted exploration was critical in an AI-generated content environment where outputs are inherently variable and structured test cases alone cannot anticipate every failure mode.
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