Systems | Development | Analytics | API | Testing

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How to use shift-left in gaming

Don’t rely on players to find bugs in your video games. There’s a smarter way forward. And it involves using AI agents and shift-left testing. Here’s why AI bots are game-changers: Automated Playtesting: Advanced AI agents now handle repetitive playthroughs, catching issues early and reducing developer crunch in alpha and beta phases. Comprehensive Coverage: These bots don’t just mimic players; they explore every inch of the game, uncovering bugs that would take traditional QA departments hours.

Keboola to Simplify the Management of Sustainability Data

Keboola, the self-service data management platform, develops a comprehensive platform that simplifies Environmental, Social and Governance (ESG) data management. It automates data collection, monitors key performance indicators (KPIs), and provides real-time insights across all client entities. By replacing manual processes, it ensures precision, uniformity, and adherence to ever-changing regulations.

System Testing: Definition, Guide, Best Practices

System testing is like the ultimate test drive for your software. Before the app hits production, you need to ensure every feature works as promised, every component plays nicely together, and nothing breaks under pressure. That’s where system testing shines. In this article, we’ll explore everything you need to know about system testing: what it is, why it’s essential, the processes, techniques, and best practices.

Testing Kubernetes Ingress with Production Traffic

Kubernetes is an incredibly powerful solution, but testing the Kubernetes Ingress resources themselves can prove to be quite tricky. This can lead to significant frustration for developers – bugs can pop up in production that weren’t caught during testing, workflows that make sense on paper might fail in practice, and so forth.

The AI Tipping Point: What Sports Organizations Need to Know for 2025

Sports organizations have made major strides in recent years. Teams across the industry are transforming into data-driven organizations on the fan engagement, monetization and sports operations sides of the business. This trend is perfectly timed with the AI hype cycle. AI is proving that it’s here to stay. While 2023 brought panic and wonder, and 2024 saw widespread experimentation, 2025 will be the year sports teams get serious about AI's applications.

The Great Convergence: How Martech and Adtech Are Uniting Around First-Party Data on Snowflake

A revolution is underway as martech and adtech continue to converge around first-party data — and the revolution is happening on Snowflake. This seismic shift isn't a mere trend; it’s a game-changing transformation that will continue to shape the way that marketers and advertisers connect with consumers amid increasing privacy regulations, new identity frameworks and rising customer expectations.