AI-Powered QA & Testing
Automated test case generation, CI-integrated validation, gameplay traversal at scale, and intelligent crash triage — running 24/7, across every build, every platform, every push.
The Surface Area Of a Modern Live Game Is Too Large For Manual QA Alone
Higher build counts. Faster content cadence. More platforms. More edge cases. The math doesn’t work anymore.
iXie’s AI QA layer sits alongside your existing process and does what manual testing physically may struggle a bit more to do — covering the volume, the velocity, and the scale of modern game development without adding headcount. Your team stops doing low-value work and starts doing the work that actually requires human judgment.
What We Do
Bug Triage Agent
Connectors: Jira · TestRail
Ingests incoming bug reports, deduplicates against existing tickets, clusters similar defects, and assigns severity and priority. Routes each ticket to the right owner.
Outcome: Cuts manual triage time and reopen cycles. Fewer duplicate tickets and inconsistent severity calls across testers. Frees senior QA for judgment work instead of sorting.
Bug Writing Agent
Connectors: Playwright · Jira
Captures error screenshots from failed automated test runs, generates a structured, schema-validated bug report, and logs it to Jira with the screenshot attached after human review.
Outcome: Standardizes bug report quality across testers. Removes the write-up bottleneck on failed runs. Fewer reopens caused by incomplete or missing repro context.
Bug Pattern Analysis Agent
Connectors: Jira · Neo4j
Extracts historical bug data, computes hotspots, bounce rate, and severity distribution, and answers natural-language questions over the bug corpus via a RAG interface.
Outcome: Surfaces defect hotspots and regression-prone areas before they ship. Gives leads trend visibility that manual reporting does not. Informs where to focus test coverage.
Test Case Prioritization Agent
Connectors: TestRail · CI/CD · Git
Analyzes pull-request diffs and historical CI/CD logs to filter and rank test cases from large libraries by likely impact. Works with or without codebase access.
Outcome: Shrinks regression cycles by running the tests that matter first. Higher defect-catch rate per test hour. Faster feedback loops for your dev team.
Performance Testing Agent
Connectors: Device farm · Telemetry
Simulates concurrent player load to stress-test frame rate, memory, latency, and crash rate across device tiers. Flags bottlenecks and generates optimization reports.
Outcome: Catches performance regressions across the device matrix without a manual test bank. Predicts bottlenecks pre-launch. Broader hardware coverage than manual testing.
Visual Regression Agent
Connectors: Playwright · Applitools
Compares UI screenshots against a baseline across resolutions, device tiers, and builds. Computer vision flags layout shifts, texture and clipping issues, lighting anomalies, and UI inconsistencies, while ignoring intended changes.
Outcome: Catches graphical and UI regressions after every update without a manual pixel check. Broader screen and device coverage than eyeballing. Cuts the visual bugs that slip through to players.
Test Case Writing Assistant
Connectors: MCP · TestRail
Drafts test case content from design docs and requirements, retrieves artifacts via MCP servers, and writes directly to your test case management tool after review.
Outcome: Speeds up test suite build-out for new features. Improves coverage by generating scenarios humans overlook. Keeps test docs current with design changes.
What We Do
Automated Test Case Generation
AI generates test cases from design docs, build notes, and existing coverage gaps. New features get tested on day one, not sprint three.
Bug Writing Agents
AI drafts complete bug reports from crash data, repro steps, and session logs. Reports land in JIRA — structured, deduplicated, ready for triage. Your testers stop typing and start testing.
CI-Integrated Test Validation
Test cases run automatically against every GitHub push. Regressions caught at the commit, not the release. Engineers see what broke before the PR is merged.
Gameplay Traversal & Coverage
AI agents play through builds at scale — navigating menus, completing objectives, stress-testing progression systems across platforms in parallel. Coverage your manual team would take days to reach, done overnight.
Visual Regression & Crash Triage
Computer vision flags UI breakages, localization overflows, and platform-specific rendering issues. AI clusters and deduplicates crash telemetry so engineers see underlying defects — not the noise.
THE IMPACT
WHY IT CHANGES EVERYTHING
We run a high-velocity pipeline that integrates with your team to hit every milestone on time.
Coverage that never sleeps
Every push tested. Every platform covered. Every build validated — automatically, continuously, without anyone having to kick it off.
50% faster testing cycles
Automated traversal, visual regression, and crash triage cut cycle time in half — without cutting corners.
3x faster bug detection
AI-powered prioritization surfaces the highest player-impact failures first. Speed means nothing if you're finding the wrong things — we find the right ones, fast.
Your QA team becomes more productive
Bug writing, test case generation, crash triage — handled. Your team focuses on what only humans can catch: feel, polish, the thing that's just slightly off.
Why It Changes Everything
Coverage that never sleeps
Every push tested. Every platform covered. Every build validated — automatically, continuously, without anyone having to kick it off.
50% faster testing cycles
Automated traversal, visual regression, and crash triage cut cycle time in half — without cutting corners.
3x faster bug detection
AI-powered prioritization surfaces the highest player-impact failures first. Speed means nothing if you're finding the wrong things — we find the right ones, fast.
Your QA team becomes more productive
Bug writing, test case generation, crash triage — handled. Your team focuses on what only humans can catch: feel, polish, the thing that's just slightly off.
Case studies
Our AI-powered QA in Action
Ready To Test At A Scale Your Team Couldn't Before?
Tell us your build cadence, your platforms, and where your QA cycle is breaking down. We’ll show you exactly what AI changes.