Artificial Intelligence

This topic collects essays about using and evaluating artificial intelligence in real systems, including LLM judges, agent workflows, evidence, failure modes, and operational responsibility.

• ساختن یک LLM Judge کم‌نویز برای بازبینی Pull Requestها: معماری K2 · Building a High-Signal LLM Judge for GitHub Pull Requests: The Architecture Behind K2 — A practical architecture for secure, SHA-aware, multi-agent pull-request review with evidence gates, low-noise inline findings, and a separate remediation loop.

• طراحی اسکیل‌های بزرگ ایجنت به‌صورت سیستم‌های قطعی و فازمحور · Designing Large Agent Skills as Deterministic, Phase-Oriented Systems — A reference architecture for explicit phases, lazy loading, bounded side effects, resumable handoffs, and testable agent execution.

The articles remain canonical in Essays; this page is a topical route, not a duplicate archive.