Which LLM performs best for your use case? This hands-on guide walks you through building an evaluation pipeline using MLflow, Ollama, and Docker Compose. You may use the code for systematic model comparison with reproducible results.
A troubleshooting story about an intriguing GitHub issue: a developer could clone a GitHub repository successfully, however failed to push updates to it.
I explain in detail the cause is GitHub’s permission model for forked repositories within organizations that enforce SAML SSO.
The solution is simple in hindsight: authorize your SSH key for use with SAML SSO for GitHub organizations that require that.
Deep dive into PostgreSQL WAL management, replication slots, and their critical impact on Change Data Capture implementations.
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.
Six AI coding assistants tested: GitHub Copilot, Claude Code, Cursor, Windsurf, Kiro, and Gemini CLI. Through hands-on testing with Rust and React projects, I discovered each tool’s strengths and surprising limitations. Learn which AI coding agent matches your development workflow.
“I’ll admit it: I’m an acronym addict. My colleagues have even created their own acronym for me – AHtGLA (Always Have to Google Lothar’s Acronyms).
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.
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.
Kiro IDE review: An agentic development environment featuring spec-driven workflows, EARS requirements syntax, and advanced security controls. Discover Kiro’s autopilot vs supervised modes, trusted command configurations, and real-time change tracking. Essential reading for developers evaluating structured alternatives to prompt-based coding assistants.
Dive into the discussion around integrating Kafka consumers within the Backend for Frontend (BFF) pattern. Learn when it’s a powerful tool for real-time UI updates and data projections, and critically, when business logic should remain separate for architectural health and scalability.
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