Glen Knight

NYC Based IT Professional

From Code to Confidence: Building AI Apps That Earn User Trust

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

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Tabnine Adds Agents Capable of Automating Workflows to AI Coding Platform

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. Source: DevOps.com

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Gain Control of Your Innovation With Low Code Technologies

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. Source: DevOps.com

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Observe Adds Two AI Agents to Improve Observability

Observe 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

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Kong Adds MCP Support to Tool for Designing and Testing APIs

Kong 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

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How AI Code Assistants Can Save 1,000 Years of Developer Time 

AI 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

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How AIOps is Revolutionizing DevOps Monitoring in the Cloud Era

As 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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The AI-Powered Evolution of Software Development 

Artificial 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

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AWS Weekly Roundup: Project Rainier online, Amazon Nova, Amazon Bedrock, and more (November 3, 2025)

Last week I met Jeff Barr at the AWS Shenzhen Community Day. Jeff shared stories about how builders around the world are experimenting with generative AI and encouraged local developers to keep pushing ideas into real prototypes. Many attendees stayed after the sessions to discuss model grounding, evaluation, and how to bring generative AI into […]

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Cybersecurity Laws Will Shape the Future of DevOps 

From 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

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