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Bugsnag Launches New Error Monitoring Features

Bugsnag, a SmartBear company, announced new error monitoring capabilities to help drastically simplify application development, enabling organizations to drive greater business results with an improved user experience.

The new features support code ownership and accelerate the debugging process for better collaboration and team alignment. Recent data shows that when engineering teams grow to over 100 employees, debugging code becomes increasingly more complicated, making it more difficult to maintain a higher stability. Bugsnag’s new features eliminate that risk and complexity, especially for large engineering teams, allowing them to deliver a better, more stable user experience.

“Most apps have a variety of engineers, including separate engineering teams, working from a single code base. When something goes wrong, all engineers are alerted about the software bug. They then have to figure out where the error occurred and who is responsible for fixing it, which is a cumbersome and inefficient process,” said James Smith, SVP of the Bugsnag Product Group at SmartBear. “Bugsnag’s new features eliminate this guesswork and deliver true code ownership so engineering teams can easily identify, own, prioritize and remedy bugs. When organizations can quickly stabilize apps, the customer’s digital experience improves significantly, ultimately helping to boost critical business outcomes. In addition, engineering teams become more cost- and time-efficient, freeing them to take on other projects and build new features.”

Bugsnag’s latest features allow customers to:

- Gain visibility beyond crashes in mobile apps with NDK Stack Frames and iOS app hangs: To mitigate Application Not Responding errors (ANRs), Bugsnag has introduced NDK stack frames. The new NDK stack frames, along with the existing JVM stack traces, provide complete visibility into the section of code that was running when an ANR occurred, allowing engineers to easily investigate and fix ANRs. Bugsnag provides visibility into iOS app hangs, with complete diagnostics including stack traces and breadcrumbs, to help correct both fatal and non-fatal iOS app hangs.

- Drive code ownership and increase team alignment with multiple issue trackers: Bugsnag’s new features support code ownership with automatic error alerts, sending notifications about bugs to the specific team that owns the problematic part of the codebase, regardless of the type of tracker they use. This ensures that only the correct team is made aware of a bug, rather than sending error alerts to all engineering teams, which makes it difficult to determine which team should fix a problem.

- Use powerful diagnostics to fix errors with advanced filterable breadcrumbs, jailbroken device detection, and app crashed on launch identification: New capabilities expedite the process of identifying and correcting bugs by giving engineers the ability to search and filter the user interaction breadcrumbs collected for each error. Teams can select the type of breadcrumb or search with keywords. As a result, engineering teams can filter by specific user actions or network requests to investigate what the user was doing in the run up to the error. With an updated average device state analysis, engineering teams can quickly understand if the application was being used on a jailbroken iOS or rooted Android device when the error occurred. For multi-platform applications, such as React Native and Unity, engineers can now easily see if each error is affecting iOS or Android users. There are also new diagnostics to help engineers Identify whether a crash occurred while the app was launching and filter by this error detail to prioritize fixing these high impact crashes.

- Streamline error prioritization with enhanced snoozing and Microsoft Teams integration: Bugsnag enables engineering teams to also snooze errors until they impact a customized number of users, so teams are only alerted once a bug causes a significant enough problem. The update also includes a new integration with Microsoft Teams, allowing engineers to receive alerts in Teams when Bugsnag identifies errors. Like the snooze options, these alerts are also fully customizable, making it easier for engineers to prioritize the most serious errors.

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Bugsnag Launches New Error Monitoring Features

Bugsnag, a SmartBear company, announced new error monitoring capabilities to help drastically simplify application development, enabling organizations to drive greater business results with an improved user experience.

The new features support code ownership and accelerate the debugging process for better collaboration and team alignment. Recent data shows that when engineering teams grow to over 100 employees, debugging code becomes increasingly more complicated, making it more difficult to maintain a higher stability. Bugsnag’s new features eliminate that risk and complexity, especially for large engineering teams, allowing them to deliver a better, more stable user experience.

“Most apps have a variety of engineers, including separate engineering teams, working from a single code base. When something goes wrong, all engineers are alerted about the software bug. They then have to figure out where the error occurred and who is responsible for fixing it, which is a cumbersome and inefficient process,” said James Smith, SVP of the Bugsnag Product Group at SmartBear. “Bugsnag’s new features eliminate this guesswork and deliver true code ownership so engineering teams can easily identify, own, prioritize and remedy bugs. When organizations can quickly stabilize apps, the customer’s digital experience improves significantly, ultimately helping to boost critical business outcomes. In addition, engineering teams become more cost- and time-efficient, freeing them to take on other projects and build new features.”

Bugsnag’s latest features allow customers to:

- Gain visibility beyond crashes in mobile apps with NDK Stack Frames and iOS app hangs: To mitigate Application Not Responding errors (ANRs), Bugsnag has introduced NDK stack frames. The new NDK stack frames, along with the existing JVM stack traces, provide complete visibility into the section of code that was running when an ANR occurred, allowing engineers to easily investigate and fix ANRs. Bugsnag provides visibility into iOS app hangs, with complete diagnostics including stack traces and breadcrumbs, to help correct both fatal and non-fatal iOS app hangs.

- Drive code ownership and increase team alignment with multiple issue trackers: Bugsnag’s new features support code ownership with automatic error alerts, sending notifications about bugs to the specific team that owns the problematic part of the codebase, regardless of the type of tracker they use. This ensures that only the correct team is made aware of a bug, rather than sending error alerts to all engineering teams, which makes it difficult to determine which team should fix a problem.

- Use powerful diagnostics to fix errors with advanced filterable breadcrumbs, jailbroken device detection, and app crashed on launch identification: New capabilities expedite the process of identifying and correcting bugs by giving engineers the ability to search and filter the user interaction breadcrumbs collected for each error. Teams can select the type of breadcrumb or search with keywords. As a result, engineering teams can filter by specific user actions or network requests to investigate what the user was doing in the run up to the error. With an updated average device state analysis, engineering teams can quickly understand if the application was being used on a jailbroken iOS or rooted Android device when the error occurred. For multi-platform applications, such as React Native and Unity, engineers can now easily see if each error is affecting iOS or Android users. There are also new diagnostics to help engineers Identify whether a crash occurred while the app was launching and filter by this error detail to prioritize fixing these high impact crashes.

- Streamline error prioritization with enhanced snoozing and Microsoft Teams integration: Bugsnag enables engineering teams to also snooze errors until they impact a customized number of users, so teams are only alerted once a bug causes a significant enough problem. The update also includes a new integration with Microsoft Teams, allowing engineers to receive alerts in Teams when Bugsnag identifies errors. Like the snooze options, these alerts are also fully customizable, making it easier for engineers to prioritize the most serious errors.

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Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...

Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...

The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...

The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...

In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...

AI workloads require an enormous amount of computing power ... What's also becoming abundantly clear is just how quickly AI's computing needs are leading to enterprise systems failure. According to Cockroach Labs' State of AI Infrastructure 2026 report, enterprise systems are much closer to failure than their organizations realize. The report ... suggests AI scale could cause widespread failures in as little as one year — making it a clear risk for business performance and reliability.

The quietest week your engineering team has ever had might also be its best. No alarms going off. No escalations. No frantic Teams or Slack threads at 2 a.m. Everything humming along exactly as it should. And somewhere in a leadership meeting, someone looks at the metrics dashboard, sees a flat line of incidents and says: "Seems like things are pretty calm over there. Do we really need all those people?" ... I've spent many years in engineering, and this pattern keeps repeating ...

The gap is widening between what teams spend on observability tools and the value they receive amid surging data volumes and budget pressures, according to The Breaking Point for Observability Leaders, a report from Imply ...

Seamless shopping is a basic demand of today's boundaryless consumer — one with little patience for friction, limited tolerance for disconnected experiences and minimal hesitation in switching brands. Customers expect intuitive, highly personalized experiences and the ability to move effortlessly across physical and digital channels within the same journey. Failure to deliver can cost dearly ...

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