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, […]
0 CommentsOrganizations under pressure to cut cloud costs often reach for discount programs first as the simplest lever. It feels like a win to commit to reserved capacity or enterprise agreements because it lowers the rate paid per unit of compute or storage. However, this approach conceals a dangerous trap. When discounts are secured before workloads […]
0 CommentsToday, 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 […]
0 CommentsAs 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
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