Tag:AI Agents
Articles tagged "AI Agents", page 5.
- 26 MIN READ•Jul 6, 2026
Designing Your Own AI Harness: A Deep Dive Into the Architecture of Agent Loops, Tools, Context, and Control
A deep dive into custom AI harness architecture: model layers, tool design, context management, permissions, control budgets, persistence, orchestration.
AI agentsagent architectureMCP - 26 MIN READ•Jul 6, 2026
Deterministic Data Engineering With AI Harnesses: Using Claude Code, Codex, Antigravity, and OpenCode for Data Work You Can Actually Trust
How to use AI agent harnesses for data engineering without losing determinism, reproducibility, and trust in your data pipelines and analytics.
data engineeringAI agentsClaude Code - 16 MIN READ•Jul 6, 2026
Enforcing Fine-Grained Security at Machine Speed: Dynamic Access Control for High-Frequency AI Agents
How to secure high-frequency AI agents with dynamic access control: row, column, and tool policies, short-lived credentials, token exchange, and audit trails.
fine-grained securityai agentsaccess control - 15 MIN READ•Jul 6, 2026
The Metric Contract Mandate: Standardizing Semantic Layers Before AI Agent Access
What a metric contract contains (definition, grain, owner, freshness, tests, access) and why a semantic layer needs one before AI agents are allowed to query.
semantic layersmetric contractsai agents - 30 MIN READ•Jul 6, 2026
Personal Context vs. Shared Context: A Deep Dive Into How Humans and Organizations Should Feed Their AI Agents
How personal context for one user and governed shared context for an organization feed AI agents, with optimization techniques, failure cases, and frameworks.
personal contextshared contextai agents - 14 MIN READ•Jun 8, 2026
Agentic Lakehouse Concurrency and Isolation
Agentic writes need isolation contracts, not just write permissions.
lakehouseAI agents - 14 MIN READ•Jun 8, 2026
Anatomy of an Agentic Lakehouse
An Agentic Lakehouse is storage, catalog governance, semantic context, and agents working as one operating model.
lakehouseAI agents - 15 MIN READ•Jun 8, 2026
Real-Time Agentic Analytics with ClickHouse
Real-time agents need analytical systems that can answer while an event still matters.
AI agentsClickHouse - 14 MIN READ•Jun 8, 2026
Goal-Directed Analytics Agents on Apache Iceberg
The next step after text-to-SQL is a governed action loop with checks before every external effect.
Apache Icebergopen table formatlakehouse - 14 MIN READ•Jun 8, 2026
Microsoft Fabric Build 2026 Agentic Analytics Stack
Microsoft's Fabric direction shows that agentic analytics is becoming a platform architecture, not a chat feature.
AI agentsMicrosoft Fabric - 15 MIN READ•Jun 8, 2026
Securing Agent Identities in the Lakehouse
Every lakehouse agent needs its own identity, scope, and audit trail.
lakehouseAI agentstoken exchange - 21 MIN READ•May 22, 2026
Building a Multicloud Agentic Lakehouse Reference Architecture
A reference architecture for building an open, multicloud Data Lakehouse optimized for AI Agents using Apache Polaris, Apache Iceberg, and Dremio.
data lakehouseagentic lakehouseapache polaris