AI/ML on Support Tools

Self-Hosted Coding Agents on Kubernetes: Running Pi, Claude Code, and Cline Against Your Own Inference Cluster

Sat, 25 Jul 2026 00:00:00 -0500

Every agentic coding session ships source code to a third party. An agent that reads forty files to answer one question has transmitted forty files, and the enterprises that care about this are discovering an uncomfortable detail: the coding agent is not the problem. Every major agent CLI in 2026 is a protocol client that accepts a custom endpoint. The model is the only part that has to be somewhere else, and open-weight models now clear 70-80% on SWE-bench Verified under MIT and Apache 2.0 licenses. The infrastructure to keep the entire loop inside a cluster boundary already exists.

Claude Code Feels Dumber? The System Prompt Architecture Trap and How to Fix It

Sat, 14 Mar 2026 12:00:00 -0500

If Claude Code has felt less capable lately — giving one-sentence answers where it used to reason through edge cases, refusing to explain its decisions, skipping the exploration you relied on — you are not imagining it, and the model has not degraded. The cause is architectural: a structural tension between Claude Code’s built-in system prompt and your project-level instructions.

AI Deployment Lifecycle Management with Kubernetes: Strategies for Production Resilience

Thu, 14 Aug 2025 09:00:00 -0500

As organizations increasingly rely on AI models for critical business functions, the need for robust deployment strategies has never been more important. This article explores comprehensive approaches to AI model lifecycle management in Kubernetes environments, from initial deployment through monitoring, rollback mechanisms, and cloud migration strategies.