From chasing bugs to shipping multiple deployments per week. With PlayerZero embedded across their #SDLC, Key Data’s team freed up significant engineering capacity, shifting their focus from reactive issue resolution to high-value product delivery. "Before PlayerZero, we used to

Today, we're joined by @akoratana, founder and CEO of @playerzero_ai to discuss his team’s approach to making agentic and AI-assisted coding tools production-ready at scale. Animesh explains how rapid advances in AI-assisted coding have created an “asymmetry” where the speed of

Two weeks later, and we're still buzzing from our launch party at @FoundationCap. When you put leading AI researchers, CTOs, and investors in the same room to discuss the future of software development, magic happens. The caliber of conversations—from our fireside chat to

Wondering how to balance AI skepticism with AI adoption in your Engineering team? Curious about the role of engineers in an AI-native world? Want it all explained through the lens of the Terminator? Look no further than our latest blog, written by our CTO @sliqsolv. "The

Knowledge silos slow engineering teams. As teams scale from 50 to 250+ engineers, expert-to-team ratios drop from 1:9 to 1:49, creating bottlenecks that stall delivery. Our latest guide breaks down how these barriers form and provides 5 proven strategies for building shared

"PlayerZero gives us real-time, actionable insight into what's going wrong — and where — so we can fix it more efficiently." - John Nord, CTO at @CayuseLLC See how Cayuse transformed their approach to software quality and freed up their engineers to focus on value-added

Customer satisfaction scores have hit their lowest point since 2016, while engineering teams are more stretched than ever. Our CRO Matt Vaughn shares five AI-powered strategies that break the traditional CSAT improvement trap - helping teams deliver better results without scaling

This past Wednesday at Foundation Capital's Palo Alto office, we gathered with an incredible community to celebrate PlayerZero officially coming out of stealth. The energy in the room was electric – leading AI researchers and engineering leaders deep in conversation about how

With AI now generating 20% of enterprise code, technical debt isn't just accumulating faster — it's compounding at a rate that traditional code reviews can't keep up with. Our latest deep dive explores how enterprises are using AI to: - Automatically identify hidden debt across

With the influx of AI-accelerated development, traditional testing methods are collapsing under their own weight as risk becomes distributed across complex, interconnected systems. In our latest analysis, we explore how the "shape of risk" has fundamentally changed.

Our latest deep dive reveals how PlayerZero's technical architecture works: - Multi-model AI strategy: combines reinforcement learning (RL) for efficient graph traversal through complex codebases with specialized large language models (LLMs) optimized for error diagnosis and

A day into playing with #GPT5, I think people are missing the real win behind this launch. GPT-5 is comparable in quality to some of the best frontier models out there, but comes in at about 1/3rd the cost of sonnet 4. This is important...

Great article from https://t.co/hipWajPBKo on why #CodeSim is a game-changer for AI-era development. Engineering teams spend 70% of their time debugging instead of coding. PlayerZero is changing that. https://t.co/TVGLfFGLi6 #PredictiveSoftwareQuality #DevOps

ATL and SF are both central to our story and we're grateful for our customers, investors, and team in both hubs. Thanks for the feature, @hypepotamus! https://t.co/WW9aN9Aioa #SoftwareQuality #ATLStartup #CodeSim

10 minutes into the pitch, we knew we'd invest in @playerzero_ai. It's an easy decision when you have a founder like @akoratana in front of you. At just 12 years old he was debugging systems as a technical support engineer for his father's company. He learned early how, where,

Companies are beginning to realize that AI code generation introduces an entirely new set of challenges. Instead of coding, enterprise teams now spend up to 70% of their time investigating and fixing AI-generated bugs. The same AI tools that promised to speed up development are

@playerzero_ai has emerged from stealth with $20M in funding 🎉 Founder @akoratana and team have built the first predictive software quality platform to solve code quality issues with applied AI. “PlayerZero's unique ability to automate debugging and predict problems before

Huge congrats to our friends at @playerzero_ai on their $15M raise. They’re using AI agents to help teams ship clean code, faster. We’re excited to be a part of the ride. 🔗 https://t.co/mNUCiBTijX

CodeSim represents a new way of building software, and is built on two primitives: 1. Scenarios: natural language descriptions of system behavior, auto-learned through tickets & telemetry 2. Simulations: A prediction of how the code would behave through the scenario Scenarios

We're also announcing code simulations. CodeSim simulates the behavior of complex codebases directly from natural language scenarios — without compilation, execution or deployment. It represents a new approach to build and verify software, enabling teams to understand the impact