Glen Knight

NYC Based IT Professional

The Coding Assistant Bottleneck: Applying the 3-Ways

AI coding assistants are the talk of the town, and for good reason. Tools that can turn a comment into a function or autocomplete entire classes are genuinely changing the developer experience. We’re writing more code, faster than ever before. It feels like a massive productivity win. But is it? While we’ve supercharged the early […]

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What Fuels AI Code Risks and How DevSecOps Can Secure Pipelines

Modern development teams are under constant pressure to deliver fast, innovate continuously, and stay clear of security threats; all at the same time. Every new feature, every accelerated release, carries the hidden risk of introducing vulnerabilities that can slip past traditional check points. Even the most seasoned developers can unknowingly leave gaps that put applications […]

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How to Escape the Talent Valley

Across the tech industry a disconcerting trend is emerging, job losses at the hand of a seemingly more efficient and cost-effective employee, artificial intelligence (AI). Software developers in particular have felt the full force of automation’s iron fist, with layoffs widespread. Since May, Microsoft alone has let go of approximately 15,000 employees, with software engineers […]

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Humans in the Loop: Governing AI Agents Across the SDLC

AI agents are moving from novelty to necessity in software delivery—and with that shift, the developer’s role is changing. Emilio Salvador, vice president of strategy and developer relations for GitLab, explores what happens when every engineer works alongside a small “team” of agents: some personal, some shared across squads, and others assigned to specific lifecycle […]

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How to Build Engineering Teams That Drive Outcomes, not Outputs

Outcome-based engineering teams focus on delivering real customer and business impact, aligning goals, adapting quickly, and collaborating across roles to drive results. Source: DevOps.com

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Modular & Shift-Left Observability for Modern DevOps Pipelines 

Shift-left observability makes monitoring a modular, built-in part of DevOps—improving reliability, cost efficiency, and visibility across modern cloud-native systems. Source: DevOps.com

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The Hidden Cost of “Free” Open Source Infrastructure 

When the OpenSSF, PyPI, Rust Foundation, and OpenJS recently declared that “Open Infrastructure Is Not Free,” they highlighted a crisis that affects every organization building modern software.  Behind every container image pulled, every vulnerability scan and every automated deployment, there’s a vast web of infrastructure: Package registries, CI/CD services, artifact repositories, security feeds, distribution networks and CDN layers. For decades, this […]

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Bindplane Adds AI Ability to Automate Configuring OpenTelemetry Pipelines

Bindplane is adding AI-powered Pipeline Intelligence to automate log parsing and optimize OpenTelemetry pipelines as telemetry volumes surge across modern DevOps environments. Source: DevOps.com

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Scaling AI the Right Way: Platform Patterns for Performance and Reliability 

AI performance breaks long before the model runs. Learn how ingestion speed, elastic training, low-latency inference, observability and automation create reliable, scalable AI systems. Source: DevOps.com

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Why AI Integration in DevOps is so Important

AI is transforming DevOps security with real-time threat detection, automated scanning and predictive analytics. Learn how AI strengthens CI/CD pipelines and protects modern software delivery. Source: DevOps.com

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