Artificial intelligence and machine learning news
Found 299 articles
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.
100% code coverage often misleads teams; it reflects executed lines, not reliable test outcomes, leading to costly gaps in quality assurance.
As AI tools proliferate, a new framework helps developers navigate complexities and integrate technology effectively for tangible outcomes.
The CFTC's directive for Kalshi to restore unwound trades amid a Michigan legal dispute highlights ongoing tensions between state and federal regulations.
GraphRAG upgrades retrieval-augmented generation by utilizing graph relationships, improving how LLMs access and process contextual data.
Software testing extends beyond merely finding bugs; it's essential for software quality and should be recognized as such in industry practices.
Streamlined platform engineering practices can significantly boost developer productivity by reducing complexity and minimizing delays in software delivery.
Jeffrey Microscope simplifies the analysis of Java Flight Recorder data, offering intuitive visualizations like flamegraphs and timeseries for performance tuning.
Temporal streamlines asynchronous processing pipelines by simplifying error handling and ensuring reliability, allowing developers to focus on business logic.
Effective SLO contracts between teams are essential for managing latency issues and ensuring a better customer experience in microservices architectures.
Models may run smoothly in notebooks but often falter in production clusters. Here’s how to maintain reliability and performance at scale.
Slopsquatting exploits AI coding agents' errors to infiltrate supply chains, posing unique security challenges for developers.