Insights & Ideas
July 14, 2026 · 16 min read
Why AI Agents Fail in Production: The Evals & Observability Stack
Agents that demo perfectly collapse in production. The compounding-error math, the MAST failure taxonomy, silent failure, OpenTelemetry GenAI traces, and why pass^k is the only metric worth shipping on.
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May 25, 2026 · 14 min read
Kubernetes-Native AI: Running GPU Workloads at Scale with KAITO, Kueue, and DRA in 2026
How KAITO, Kueue, Dynamic Resource Allocation, and the Gateway API Inference Extension turned Kubernetes into the default platform for production AI inference and training.
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May 24, 2026 · 8 min read
The MCP Revolution: How Model Context Protocol Is Redefining AI Integration in 2026
Model Context Protocol has gone from Anthropic research project to the de facto standard for AI tool integration. Here's what every developer needs to know.
READ →Apr 4, 2026 · 6 min read
Why CRUD Apps Are Dead
Exploring the limitations of traditional CRUD applications and the rise of AI-native interfaces.
READ →Apr 4, 2026 · 6 min read
The Rise of AI Agents as Employees (Not Tools)
How AI agents are transforming the way we work and the future of SaaS.
READ →Apr 5, 2026 · 6 min read
The Backend Paradigm Shift
Exploring the evolution of backend architecture in the age of AI and serverless computing.
READ →Apr 5, 2026 · 6 min read
Context Engineering Deep Dive
Understanding the fundamentals of context engineering and its impact on AI applications.
READ →Apr 4, 2026 · 6 min read
The Death of Framework Loyalty
Exploring the limitations of traditional CRUD applications and the rise of AI-native interfaces.
READ →Apr 6, 2026 · 10 min read
RAG vs Fine-Tuning: Choosing the Right Approach for Your AI Application
A comprehensive comparison of Retrieval-Augmented Generation (RAG) and fine-tuning for AI applications.
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