Modern DevOps lives and dies by feedback speed. The longer it takes to validate a change, the more risk—and cost—creeps into delivery. Appvance IQ (AIQ) was built to plug directly into your CI/CD toolchain so testing becomes continuous, adaptive, and scalable—without asking engineers to babysit brittle scripts.
Native fit with your tools
AIQ integrates with GitHub Actions, GitLab CI, Jenkins, and Azure DevOps. You trigger runs the same way you trigger linting or unit tests: on PR, on merge to main, nightly, or on release tags. Results flow back as build artifacts, annotations, and issue tickets (Jira/ALM), so devs never leave the tools they already use.
What you wire up once:
- A project connection (repo, environment, secrets)
- One or more pipelines (smoke on PR, regression on merge, deep suites nightly)
- Result publishing (status checks, coverage dashboards, defect filing)
From then on, every commit can receive the right depth of testing at the right time.
Continuous generation, not just continuous execution
Traditional pipelines re-run yesterday’s scripts and hope they still apply. AIQ changes that with two engines:
- Digital Twin learns the live application—screens, states, and paths—so the system “knows” how users actually move through it.
- AISG (AI Script Generation) uses that model (plus your business requirements and data) to generate runnable tests on demand and self-maintain them as UI or logic changes.
Instead of breaking your build with flake, AIQ updates selectors, adapts to layout shifts, and keeps suites current—automatically. You get the reliability of stable automation with the agility of continuous change.
Policy gates that reflect real risk
In CI/CD, not all changes are equal. AIQ lets you define risk-based gates so the pipeline spends time where it matters most:
- PR checks: Fast smoke from high-value flows, fail on critical regressions or severe accessibility issues.
- Merge gates: Broader coverage, API + UI + end-to-end, fail on coverage deltas or error budgets exceeded.
- Nightly runs: Deep exploration of edge paths and data permutations; open tickets for non-blocking issues.
Because tests are generated and maintained by AI, increasing or narrowing scope is a configuration change—not a rewrite marathon.
Actionable signals, not noisy logs
CI is only as good as the signal it returns. AIQ pushes actionable context:
- Pinpointed diffs (what changed and where it failed)
- Flake suppression via self-healing and stability scoring
- Coverage analytics tied to epics/stories (what’s truly tested)
- Auto-filed Jira issues with steps, data, and evidence
Teams move from “why is the suite red?” to “here’s the exact fix” in minutes.
Shift-left and shift-right in one fabric
AIQ runs API contract tests from OpenAPI, UI/UX validations (including motion/visual checks with AI ASSERT), and end-to-end scenarios—all from the same platform. That means you can:
- Catch contract breaks before UI work lands
- Validate critical journeys on every commit
- Continuously watch for regressions in staging or production-like environments
Keep intent and execution in sync
With GENI, AIQ converts plain-English requirements or manual cases into executable tests—and back again—so your CI gates always reflect current intent. When product updates a story, AIQ can regenerate affected tests and propagate changes without manual rework.
The outcome: speed with safety
Enterprises adopting AIQ in CI/CD report shorter cycle times, 3–8× broader coverage, and dramatically fewer production issues. Developers stay in flow, QA focuses on risk and strategy, and leaders gain a real-time view of quality readiness.
Bottom line: Plug AIQ into your pipeline, and testing evolves with your code—continuously, autonomously, and at scale. That’s how you ship faster and safer.
