When Newlines Matter: Troubleshooting a Snowflake Connector Pod Crash

October 13, 2025 Lothar Schulz 0

An issue with our Snowflake connector for PostgreSQL revealed how a simple formatting oversight—missing newline characters in a private key file—can bring down an entire service. This post walks through the debugging process that uncovered why our Kubernetes pod was stuck in CrashLoopBackOff, traces the root cause back to Azure Key Vault, and shares preventive measures to help you avoid similar cryptographic formatting issues in your deployments.

OWASP Guide to Securing Agentic AI Applications: Best Practices for Trustworthy and Secure AI Systems

August 4, 2025 Lothar Schulz 0

Discover how architectural choices can be a defense in securing agentic AI systems. This comprehensive guide explores OWASP’s latest “Securing Agentic Applications” paper, covering everything from Sequential and Hierarchical architectures to the 15 critical threat categories facing autonomous AI applications. Learn practical implementation strategies, universal security principles, and how to build trust into your agentic AI systems from the ground up.

Kiro vs GitHub Copilot: Which AI Coding Assistant Wins for React Development?

July 28, 2025 Lothar Schulz 0

I tested Kiro’s structured, spec-driven development approach against GitHub Copilot’s rapid iteration style by building the same React quiz app with both tools. While Kiro excelled at upfront planning and task breakdown, its rigid methodology failed to produce working code. Copilot’s pragmatic approach with real-time feedback ultimately delivered a functional prototype. The key insight? Understanding when to use structured planning versus rapid prototyping can make or break your AI-assisted development workflow.

Flow Coding Security Analysis: Expert Personas for Rust Code Review

July 8, 2025 Lothar Schulz 0

This analysis examines a multi-persona AI prompt technique applied to Rust development, testing its effectiveness on a protein translation exercise. While the approach successfully transformed imperative code into functional pipelines and improved error handling, it revealed critical limitations including AI hallucination risks and test compatibility issues. For security-conscious teams, the technique offers valuable code quality improvements when integrated with human oversight and comprehensive validation processes.

Let the Agents Vibe: Introducing Flow Coding

July 7, 2025 Lothar Schulz 0

Introducing “flow coding”—a new multi-agent development approach where you orchestrate AI agents to collaborate on software projects. Unlike vibe coding’s human-AI partnership, flow coding enables AI-to-AI collaboration while you guide the creative process from above.