Core Concepts Behind Modern AI Systems
Modern AI systems may look diverse on the surface, but under the hood they rely on a small set of recurring architectural and training ideas. This article distills foundational concepts - ranging...
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2026-02-07
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2025-12-17
Agent Skills Cheatsheet: Packaging Know-how for AI Agents
A practical cheatsheet on Anthropic's Agent Skills: what a skill is, the SKILL.md format and its frontmatter rules, progressive disclosure, bundled scripts and resources, where skills run (Claude...
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2025-11-26
Valuation Metrics Cheatsheet for the AI Bubble Debate: CAPE, Forward P/E, ERP
A practical cheatsheet on the valuation metrics behind the AI bubble debate: Shiller CAPE, forward P/E, the implied equity risk premium (Damodaran), the Buffett indicator and earnings yield vs....
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2025-11-12
LLM Observability Cheatsheet: Tracing, Tokens, Cost and OpenTelemetry GenAI
A practical cheatsheet for observing LLM apps and agents in production: the OpenTelemetry GenAI semantic conventions (gen_ai.* attributes, span names and kinds, metrics, and their development...
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2025-10-29
Spec-Driven Development with AI Coding Agents Cheatsheet
A practical cheatsheet on spec-driven development with AI coding agents: the spec, plan, tasks, implement loop, what GitHub Spec Kit and AWS Kiro actually do, spec-first vs spec-anchored vs...