Solve the biggest challenges in your codebase.
ATL
Joined October 2019
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DevOps balanced 3 things: speed, quality, & reliability. AI code generation made speed a given. That leaves 2 variables, and they're where AI tools are weakest.
Much of the SDLC was built for a constraint that's no longer there. So what's next? Read more: hubs.la/Q04C0st_0
On Wednesday, Nov 4, PlayerZero is hosting an evening of networking and open conversation for engineering leaders in Alpharetta, GA. Our CEO and co-founder, Animesh Koratana, will share where we’re headed, followed by a customer panel. Save your spot: hubs.la/Q04BV2Qs0
Introducing dreaming: how shared agent memory stays sharp. PlayerZero's memory is shared across your team and your agents, and in the background, it merges duplicates, keeps the lessons that apply elsewhere, and drops what didn't help.
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Congrats to Tai on winning our raffle for an iPhone Duo! Thanks for stopping by our booth at The AI Conference! #TAIC26
Day 2 of The AI Conference. Stop by Booth 234 to see how PlayerZero connects your codebase, telemetry, and tickets so your team can find the root cause of production issues in minutes, and catch them before they ship. #TIAC26 #TheAIConference
Heading to The AI Conference? Drop by Booth 234 for a look at PlayerZero!
We'll share a demo, live, where we'll trace a real customer ticket back to the line of code behind it. #theaiconference
You're shipping more code than ever. But does anyone on your team know what's running in production?
Register for our live session at 12pm PT today. We're showcasing how PlayerZero gives your team context throughout the SDLC. hubs.la/Q04yffZm0
Join our live session to see how PlayerZero helps you go from a support ticket to production code in minutes. Teams like Zuora, Cayuse, and Higher Logic are seeing 90% fewer escalations and 8X faster reviews. Bring questions for the Q&A, and tune in live: hubs.la/Q04y56vf0
We rebuilt our harness around decisions and saw a 30.7% increase in token efficiency.
The new harness running Sonnet 5 beat our old harness with Opus 5 using fewer tokens. hubs.la/Q04wZw-G0
Today, we'll showcase how to map AI across your full engineering lifecycle, and how to drive AI ROI that compounds instead of plateauing. Register for the live session, and tune in at 12PM PT:
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Individual AI tools hit a ceiling because they lack a complete picture of how software behaves in production. The missing piece is shared context.
Join us live to see why missing context is capping your AI ROI:
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Most engineering orgs have an AI tool strategy, not an AI strategy. Adoption is there, but few teams can point to what all that activity and tooling actually delivered. Here's what comes next for engineering teams:
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By rolling out AI code gen tools, engineering teams are seeing PR velocity increase — but MTTR is flat or rising. Senior engineers are still stuck in triage. Individual AI tools optimize one step of the lifecycle and leave the rest running at the old pace.
On Aug 20, join our team for a live demo breaking a framework for AI ROI that compounds: hubs.la/Q04sH6kh0
68% of developers save 10+ hrs/week with AI tools. Half lose just as much time right back digging for context they don't have. The joy of coding didn't disappear. It moved up the stack.
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Every team has AI writing code now. But almost none can prove what it's worth. More PRs isn't the metric. Real ROI is fewer defects, fewer L3 escalations, less tech debt compounding.
The PRs were never the point. You need to fix the instrumentation before you fix the model.
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Zuora cut L3 escalations 90% and now resolves 60+ complex investigations a month, all from giving Support and Engineering a shared context graph of production.
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Higher Logic's support team went from 0 to 50 shipped customer fixes in 2 months with PlayerZero. Here's how their team reclaimed 250 engineering hours and delivered fixes 60% faster: hubs.la/Q04qVQkq0
Senior engineers write faster with AI code gen tools, but they're still pulled into the same escalations. Individual tools speed up individual tasks, they don't make the org smarter about production.
Join us for a live session today to see a practical path toward AI ROI that compounds, not plateaus.
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PR velocity is up. MTTR hasn't moved. That's the ceiling on the first wave of AI investment: it sped up writing code, not fixing it in production.
Join us tomorrow for a live session on achieving AI ROI that actually compounds.
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The advent of software automated actions. It never touched decisions. AI closes that gap, but only if agents are built for production, not just to demo well. We wrote about why production engineering decides who wins the next wave of software:
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