Luciq has officially announced a major expansion of its Agentic Mobile Observability platform, bringing agent-driven intelligence across the full mobile application lifecycle. With this latest release, the company is introducing a coordinated, closed-loop system of AI agents designed to continuously detect, triage, resolve, and even prevent mobile production issues before they impact end users.

Previously, Luciq’s platform primarily focused on post-release debugging. However, this expansion now connects real-time production insights directly into development and release workflows. As a result, Luciq is helping engineering teams shift away from reactive observability and toward proactive reliability, which is increasingly essential in today’s fast-moving mobile development landscape.

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Moreover, as mobile applications become more complex across different devices, operating systems, and rapid release cycles, engineering teams are spending more time troubleshooting production problems instead of building innovative features. Traditional observability tools, which were largely created for backend environments, often fail to detect mobile-specific failures such as UI freezes, broken user journeys, and logic errors that do not cause crashes but still disrupt the user experience.

To address this growing gap, Luciq applies specialized AI agents across the entire mobile lifecycle. These agents continuously analyze real-world production behavior, prioritize high-impact issues, and help teams resolve problems faster and more efficiently.

“Mobile engineering has unique challenges that general observability tools weren’t designed to solve,” said Moataz Soliman, Co-founder and Chief Technology Officer at Luciq. “With this expansion, Luciq’s agentic systems move beyond observation. They actively work with developers to reduce investigation time and protect app quality as teams ship faster.”

Four AI Agents Driving a Continuous Workflow

At the core of Luciq’s expanded platform is a powerful four-agent system that mirrors how mobile teams build, ship, and operate apps in production:

  • Detect Agent continuously monitors apps to identify silent failures like UI hangs, broken interactions, and non-crashing logic errors.
  • Triage Agent automatically groups thousands of duplicate bug reports into single actionable issues, reducing alert noise and developer fatigue.
  • Resolve Agent, which powers AI Crash Insights, analyzes metadata across millions of user sessions to surface root causes and reproduction steps in seconds.
  • Release Agent acts as a production safeguard by analyzing potential regressions during pull requests, helping teams prevent user experience issues before code is merged.

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Together, these agents create a closed-loop workflow where production insights continuously inform development and release decisions.

Faster Onboarding and Clearer Debugging

Additionally, Luciq is launching Agentic Instrumentation, a streamlined onboarding experience that allows teams to go from a clean codebase to identifying their first issue in under 10 minutes. This dramatically reduces the setup time typically required for mobile SDK integration.

Luciq is also enhancing its debugging experience with Session Replay 2.0, offering a unified, color-coded timeline that connects user interactions, logs, and network events in chronological order. This helps eliminate the reproducibility challenges that often come with complex mobile bugs.

Rather than relying solely on reactive alerts, Luciq continuously prioritizes issues across releases, devices, and user sessions, enabling teams to focus on the problems that matter most.

“Agentic Mobile Observability makes observability practical at scale,” said Kenny Johnston, Chief Product Officer at Luciq. “It allows mobile teams to spend less time firefighting and more time building, without sacrificing reliability.”

Luciq currently supports thousands of mobile teams worldwide across fintech, e-commerce, gaming, and other mobile-first industries, helping them deliver high-quality app experiences in increasingly complex production environments.

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