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. Source: DevOps.com
0 CommentsTabnine 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. Source: DevOps.com
0 CommentsLow-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. Source: DevOps.com
0 CommentsObserve Inc. introduces the AI SRE Agent and o11y.ai Agent to its observability platform—empowering DevOps teams to automate incident triage, generate OpenTelemetry code, and query application performance using natural language for faster, smarter debugging. Source: DevOps.com
0 CommentsKong Inc. has integrated Model Context Protocol (MCP) support into Insomnia 12, enabling DevOps teams to design, test, and secure MCP clients and servers for AI-driven APIs—reducing misconfigurations and enhancing compliance in rapidly evolving AI environments. Source: DevOps.com
0 CommentsAI code assistants like GitHub Copilot and IBM watsonx Code Assistant are transforming software development—automating routine tasks, improving code quality, and saving developers up to 200 hours a year. The result: faster delivery, higher innovation, and a real competitive edge. Source: DevOps.com
0 CommentsAs cloud-native systems grow more complex, traditional monitoring falls short. AIOps brings AI, automation, and predictive insights to DevOps—enabling real-time detection, diagnosis, and resolution across distributed environments for faster, smarter operations. Source: DevOps.com
0 CommentsArtificial intelligence is revolutionizing software development—accelerating coding, improving quality, and enabling autonomous operations. From GitHub Copilot to AI-driven DevOps, businesses leveraging AI tools are building smarter, faster, and more adaptive applications. Source: DevOps.com
0 CommentsFrom the EU’s NIS2 Directive to U.S. SEC breach disclosure rules, cybersecurity regulation is accelerating faster than code releases. DevOps teams must evolve into RegOps—embedding compliance, traceability, and trust directly into their CI/CD pipelines. The future of DevOps isn’t just agile—it’s accountable. Source: DevOps.com
0 CommentsImagine a world where your on-call alerts are not just a cryptic message, but a rich, contextualized story of what’s happening, why it’s happening, and how to fix it. This is the promise of context engineering, a concept poised to redefine the role of artificial intelligence in DevOps. While AI has long been touted as […]
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