bitdrift

Mobile observability doesn't have to suck. bitdrift AI gives your agents full-resolution, unsampled access to what's actually happening on customer devices, without waiting for app releases. Start giving your agents the context they need:

ICYMI watch our recent talk from Next App devCon on the technical (and interpersonal) breakthrough that happens when Android and Frontend engineers collab:

Every observability tool asks you the same question: what are you looking for? You're expected to know the problems in order to see them. Traditional workarounds from backend observability break on mobile. Read why + how to approach things differently:

If you like hot takes you will LOVE this new Beyond the Noise episode w/@beaulbutton, President and CTO of Atlas Reality and Tesoro. Prepare for lots of takes on AI, gaming, and finding your own path. Listen here or on your favorite podcast platform:

We had an awesome time at the Mobile Engineering Happy Hour last night with our friends from @onepeloton! Huge thanks to everyone who attended. Keep an eye out for future events in a city near you 👀

Ever wondered how @Square's mobile eng team handles O11y? With > 4 million sellers depending on Square for POS transactions, waiting on crash reports alone wasn't an option. See how they use bitdrift to quickly find the root cause of issues:

We had a great first day at @nextappdevcon! Come say hi 👋 at our booth if you haven't had the chance

RT @murki: 3D screen layout rendering coming to your @bitdriftio mobile investigations soon. ty @OpenAIDevs for adding such nice support for mcp apps ui into your mobile app 🤳

🎙️ It's our favorite time of week, it's new episode release day! Hear how @davidcrawshaw started Tailscale, why he made his way to the US, what he's up to now as CEO of plus the unexpected result of a recent HP printer purchase 😱

RT @mattklein123: Today @bitdriftio is really excited to open source blob-stream: a Kafka alternative for no fuss, low cost high volume streaming. I wrote in depth about what blob-stream is, why I made it, and how I made it.

Excited to be at @WeAreDevs world congress in San Jose this week! Drop by our booth tomorrow to say hi to our team 👋

RT @SmartFoxDev: Opus 5.5 brought lot's of attention to the internal pipeline change post. It wrote a paper cut-out story and drew every frame in pure JS. @bitdriftio

In our new Beyond the Noise episode, @randyshoup talks growing up in Silicon Valley, going to Xerox PARC with his dad, working at Oracle, Tumbleweed, two stints at eBay, and more. Plus, the impact of AI on engineering jobs. Listen here👇

UX signals explain how your app feels. Device performance signals explain how your app behaves. But how do you know *why* bugs happen? That's where application state & context come in. There are a few key contextual signals mobile teams should capture:

"75% of adults in the U.S. are purchasing goods and services through their smartphones" so why skimp on mobile o11y? The answer: you shouldn't! The world runs on mobile, and we exist to make it run a whole lot better. Read the @Intellyx article here:

With bitdrift + ClickHouse, you can see even more detail on a production event 👉️ w/bitdrift, you see what happened on the device. w/ClickStack, you see what happened on the backend. w/OTel trace context, you tie the two together. Read more:

🚨 New beyond the noise episode! The legend @jbeda talks (literally) shipping Internet Explorer on physical CDs, co-creating Kubernetes, standing up Google Compute Engine, Google vs. Microsoft culture, and more. Full episode here 👇

Why is my conversion rate dropping? What sounds like a simple question almost always results in a wild goose chase that will drain hours of your day. With the bitdrift CLI and an agent like Claude Code, you can offload the investigative work. Learn how:

🚨 New beyond the noise episode just dropped! Hear @mipsytipsy's takes on vibe coding, founding Honeycomb, AI + observability, and many hot takes (like how YC's to blame for some distorted expectations among young founders 👀) Full episode here 👇

7-person mobile engineering team. $150M+ in app revenue. 60% of customer issues now resolved by AI agents before a human ever sees the ticket. Our case study with @ThredUp:

Most observability tools were built for servers and retrofitted for mobile. @pmorelli on @tfir_io: what shifts when AI agents can query telemetry on device. "We were able to get to almost 80 to 90% of the problems." Full interview linked in the comments.

@pmorelli @tfir_io Full interview on TFiR: