A daily roundup of tech links covering Azure, VS Code, .NET, AI, web dev, and Windows updates from February 2026.
Explains fencing tokens and generation clocks in .NET to prevent stale leaders from writing in distributed systems, ensuring data consistency.
A monthly roundup of tech links focusing on data engineering, Kafka, AI, and software development, including personal articles and industry news.
Explores .NET in-process synchronization APIs for managing concurrency and thread safety in multi-threaded applications.
Analyzes the ongoing confusion and compliance challenges surrounding Microsoft Entra's 'One Person One License' licensing model.
![VMUGCZ Online Event Recap: vSAN File Services (Deeper Dive) [CZ] — Jiří Viktorin (Feb 26, 2026)](https://allblogs.blob.core.windows.net/alldevblogs/thumbs/article-452ea8e5a16c-full-db2fe30f.webp)
A deep dive into vSAN File Services architecture, deployment prerequisites, configuration, and troubleshooting for VMware administrators.
A tech architect compares working at a Silicon Valley giant and a traditional insurance firm, debunking myths about digital vs. traditional companies.
A daily tech reading list covering AI agents, cloud development, software engineering trends, and new tools like Gemini CLI and jQuery v4.
A developer details the process of building evaluation systems for two AI-powered developer tools to measure their real-world effectiveness.
A developer documents using Claude Code AI to refactor the RestAssured.Net library, focusing on improving code structure and maintainability.
A developer shares critical drawbacks of using Claude Code for AI-assisted programming, focusing on hidden issues like problematic test generation and maintenance challenges.
Introduces Skill Eval, a TypeScript framework for testing and benchmarking AI coding agent skills to ensure reliability and correct behavior.
A guide to writing effective AGENTS.md files for AI coding agents, based on research data and best practices.
Explores Bitter Lesson Engineering, advocating for AI systems that discover solutions autonomously rather than relying on human-coded logic.
A developer shares how using Claude Code enabled them to build 17 diverse side projects, including TUIs, games, and tools, in just two months.
Explains the difference between an AI agent's inner loop (verifying work within a task) and outer loop (learning across tasks).
A guide to the core principles and systems thinking required for data engineering, beyond just learning specific tools.
A guide to designing reliable, fault-tolerant data pipelines with architectural principles like idempotency, observability, and DAG-based workflows.
Argues that data quality must be enforced at the pipeline's ingestion point, not patched in dashboards, to ensure consistent, reliable data.
Explains idempotent data pipelines, patterns like partition overwrite and MERGE, and how to prevent duplicate data during retries.
