When you think that, for instance, an employee has garnered years working for this huge company, like Lyft, cannot make use of the skills they gained when they leave that company, and work for the next, think again. While there are closing contracts and exit interviews that normally tell an employee to turn-over any assets or files they worked with, such as on their PC, to the company, and not to disclose information – actually even introductory contracts have this clause – since the employee personally worked hard for the skills they earned, they have every right to leverage and utilize them for their future undertakings. Like your learnings in college, especially if you came from a reputable university.
Such is the case for these former Lyft engineers, Matt Klein, Peter Morelli, and Martin Conte Mac Donell, who are now the founders of bitdrift AI, the world’s first-ever agentic mobile observability platform constructed for this AI stage the world is in.
Agentic mobile observability platforms use AI agents to constantly monitor mobile apps, track logs, track crashes, track performance, and track user behavior, before autonomously identifying issues, investigating causes, and recommending or executing solutions.
If those are too technical-sounding for you, perhaps you can learn more of what they are through their best real-world applications:
- Autonomous crash investigation
- Real-time performance optimization
- User-experience and conversion monitoring
In other words, are they useful? Yes, there are! Beyond reasonable doubt!
Peter Morelli, the CEO of bitdrift, who was formerly with Lyft and even Twitter, talked about the technology, saying, “Agentic AI has changed software engineering, but agents can only be as smart as the data they see. Traditional observability solutions simply weren’t built for the unique and often less-than-ideal conditions involved with mobile, whether it’s a bad network, rainy weather, or a misplaced button within the UI. bitdrift AI is the first solution that gives AI agents direct access to full-resolution mobile data, without sampling, e.g. live sessions, targeted cohorts, and on-demand telemetry. That means 100 times faster investigations, fewer false leads, and fixes before users notice a problem.”
In his LinkedIn profile, Morelli has also worked with Salesforce, First Data Corporation, and Accenture before joining Lyft.
bitdrift AI has these four key highlights: full-resolution and unsampled data, autonomous agents, precise targeting, and expert-built.
This AI can capture 100 percent of on-device telemetry in real time, thereby avoiding the blind spots caused by sampling and delayed SDK syncs. Meanwhile, it also exposes workflows, charts, issues, and captured sessions through a CLI, a public API, and customized Skills. This way, AI agents and engineers alike can query millions of devices in real-time, create instrumentation on the fly, and iterate in tight feedback loops with zero-waiting for app releases.
Its precise targeting is seamless. This enables agents to gather only the context they need, preserving model contact windows and reducing irrelevant data. And, of course, since former Lyft executives built then, expect the best. The latest ridesharing news, only here on RSF, your newsroom for ridesharing, coupons, food deliveries, business, lifestyle, and so much more! So, call your moms and dads to sign up here now!