Monday, December 1, 2025
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Contributed

Unlocking Insights: 3 Key Takeaways on AI-First Platform Engineering from PlatformCon

AI and Platform Engineering: The New Paradigm Shift In today's tech landscape, platform engineering and AI are not just intertwined; they're foundational. A...

Navigating the AI Landscape: The Challenging New Reality for Software Engineers

The Shift to AI-Native Software Engineering As artificial intelligence reshapes software engineering, a revolutionary shift is underway. By 2028, it's projected that 90% of enterprise...

The Rise of Context-Aware AI: Outpacing Traditional Code-Only Solutions

Artificial intelligence (AI) tools are transforming data science by automating code writing; however, traditional code-only AI often generates generic snippets lacking project context. This...

Introducing Embabel: A Comprehensive Framework for Developing AI Agents in Java

AI agents are evolving into effective workplace collaborators, with increasing development focused on their autonomy in achieving goals, managing workflows, and decision-making. They must...

Exploring Modern Observability: AI, Escalating Costs, and the Role of OpenTelemetry

The concept of “observability,” emerging around 2017, aimed to distinguish itself from traditional application monitoring by enabling real-time inquiries into complex systems, particularly in...

AI Reliability Engineering: Embracing the New Era of Site Reliability Engineering

At KubeCon NA, Clayton Coleman highlighted the evolving role of Site Reliability Engineers (SREs) as AI inference workloads gain critical importance alongside traditional web...