Latest Articles

Designing Your Own AI Harness: A Deep Dive Into the Architecture of Agent Loops, Tools, Context, and Control

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.

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Deterministic Data Engineering With AI Harnesses: Using Claude Code, Codex, Antigravity, and OpenCode for Data Work You Can Actually Trust

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.

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Preparing Your Data Lakehouse for the EU AI Act: Auditable Lineage and Data Provenance

Preparing Your Data Lakehouse for the EU AI Act: Auditable Lineage and Data Provenance

How lakehouse lineage, provenance, audit logs, and agent identity help you prepare for the EU AI Act, with a readiness checklist. Technical, not legal, advice.

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Federation and the Lakehouse: Two Roads to Unified Data Access, and How to Know Which One to Take

Federation and the Lakehouse: Two Roads to Unified Data Access, and How to Know Which One to Take

When to federate queries across sources and when to consolidate into an Iceberg lakehouse, with pushdown mechanics, cost math, and a federate-first pattern.

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