Explores semantic layers in data platforms, their role in ensuring metric trustworthiness, and their critical importance for AI agent accuracy.
Deep dive into designing custom AI agent harnesses, covering architecture layers like loops, tools, context, and control for production systems.
How to use AI coding agents like Claude Code and Codex for deterministic data engineering, ensuring reproducibility and trust.
Guide to setting up Microsoft Entra Agent ID for AI agent identity governance, including blueprint creation, authentication, and hardening.
Explores agentic autonomy levels in AI engineering, proposing a two-axis framework of agency and orchestration for multi-agent systems.
Experiment using AI agents to interact with web apps, find defects, and report via GitHub issues and PRs for automated interactive review.
Announcement of the release of 'Build a Reasoning Model (From Scratch)', a book on implementing modern reasoning techniques for AI.
Applying zero trust security principles to AI agents in cloud environments, addressing challenges and compliance requirements.
Analysis of merge queue limitations under AI agent workloads, challenging Hashimoto's critique with a defense of serialization as coordination.
Explores Agentic AI testing in 2026, where AI acts as independent agents to automate and enhance QA processes, and what it means for QA engineers.
Architecture of an open-source World Cup 2026 fan intelligence platform using AI agents, Drasi, AKS, and Azure services.
A curated roundup of tech links covering AI, .NET, web development, DevOps, and industry news for June 26, 2026.
Explores the Dremio Agentic Lakehouse concept: data built for AI agents and platform management automated by agents, with architecture patterns and production considerations.
A practical guide to using Xcode 27 agents for SwiftUI development, from planning to testing a pinned notes feature.
How to improve AI agent feedback loops using custom linters to enforce coding standards automatically.
Explores the concept of AI agent identity, comparing it to human and workload identities, and proposes using workload identity like SPIFFE for runtime verification.
Explores how AI is transforming the software development lifecycle, focusing on agent harnesses and context engineering.
Explains the key differences between microservices and AI agents, highlighting broken assumptions and security risks.
A practical roadmap for learning agentic engineering, focusing on building core skills before using advanced AI tools.
Explores how ClickHouse powers real-time analytics for AI agents, with ingestion patterns, event loop architecture, and production use cases.
