Exploring the distinct security concerns of agent platforms reveals critical differences between the tool and sandbox layers.
The UK is consulting on banning sponsorship from unlicensed gambling firms in sports, aiming to close loopholes exploited by foreign operators.
Illinois is fighting to maintain control over sports and election prediction markets, asserting they're regular bets, not federal financial instruments.
Ryan Gold, the Cardinals' VP of player personnel, has been suspended indefinitely by the NFL for violating gambling rules, with plans to appeal the decision.
AI agents often make decisions without traceable reasoning; understanding their thought processes is vital for effective deployment and oversight.
Explore practical techniques for seeding PostgreSQL databases with foreign-key cycles, ensuring smooth data insertion and integrity.
CI/CD pipelines may indicate success, but they lack the ability to verify ongoing alignment with organizational needs.
Entain is restructuring its workforce, cutting around 500 jobs as it navigates rising UK tax pressures affecting the gambling industry.
AI agents challenge traditional microservice assumptions, necessitating a shift in understanding and architecture to handle non-deterministic interactions.
New updates to the Model Context Protocol (MCP) eliminate session dependencies, allowing for enhanced scalability and efficiency in AI workflows.
A new DevOps agent aims to automate incident remediation by using internal wiki runbooks, reducing reliance on engineers at critical hours.
Discover how to implement offline-first strategies in iOS apps using local data storage techniques with Core Data and SwiftData for improved user experience.
Modern applications are embracing polyglot persistence, blending various database models to meet diverse data needs and drive efficiency.
Teams can enhance their AI governance by documenting their decisions in an AI Working Agreement, ensuring clarity and consistency in workflows.
Explore how PAL, Tracer, and Clipboard can transform Pega debugging from guesswork into a precise performance optimization process.