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DevOps brings you a weekly jobs report, including, this week, opportunities at Amentum, Oliver James and Morgan Stanley Services Group.
MIT researchers propose a new framework to make software clearer and safer by organizing code into “concepts” and “synchronizations” for better visibility.
Site reliability engineering (SRE) has become an emergent niche practice invented at Google to become a foundation of contemporary enterprise performance worldwide. With the continued growth of microservices, a multi-cloud infrastructure and continuous deployment pipelines adopted by organizations, the operational surface area has increased to the extent that human personnel cannot monitor and manage it in real time. The effectiveness
In the world of modern software development, speed is king. Teams are under constant pressure to release features, fix bugs and stay ahead of competitors. Yet, as development velocity increases, so does the risk of introducing vulnerabilities — an inconvenient truth that security teams have been sounding alarms about for years. This tension between speed and
The Eclipse Foundation this week revealed that Amazon Web Services (AWS) is providing funds needed to strengthen the reliability, performance and security of the infrastructure used to make the Open VSX Registry, an online marketplace for Visual Studio Code extensions. Like other AI coding tools, the Kiro tool developed by AWS relies heavily on Visual
Qovery has added multiple artificial intelligence (AI) agents to its DevOps automation platform that, in addition to responding to natural language prompts and executing complex operations, also anticipates the next step in a workflow. Company CEO Romaric Philogène said the AI DevOps Copilot family of AI agents automate a range of tasks, including provisioning environments,
Today, building a high-quality and competitive web application requires more than just clean code, a user-friendly UX and good development practices. The success of such a project also hinges on creating a strategic approach and prioritizing components that bring long-term value to both your business and your customer. The following five aspects — security, performance, user-centricity, scalability and cross-platform compatibility — define an efficient, future-proof app that
As 65% of users report issues with AI applications, trust has become the new UX battleground. Learn how developers can build fair, transparent, and reliable AI systems through human-centered testing, inclusive feedback loops, and continuous trust monitoring from day one.
Tabnine introduces Tabnine Agentic, a new generation of AI agents that automate multi-step DevOps workflows including refactoring, debugging, and documentation. Built on Tabnine’s Context Engine, these agents bring governance, cost control, and compliance to AI-powered code development.
Low-code development and orchestration are redefining how enterprises build, connect, and scale digital systems. Discover how platforms like RunMyProcess empower teams to create applications faster, automate workflows, and drive collaboration, agility, and profitability across the enterprise.