Editorial Search Archive

The "skills vs tools" question defines 2026 agent architecture. This guide builds a Skills Registry MCP Server that catalogs 1,700+ AI agent skills, maps them to equivalent MCP tool configurations, and enables agents to discover the right capability for any task — bridging the gap between agent-native skills and protocol-level tool calls.

Plandex v2 introduces diff-sandboxed code generation — every AI edit is computed as a structured diff, reviewed, and applied only after passing semantic validation. This guide builds a LangGraph workflow that pipelines task decomposition, diff generation, sandbox validation, and safe merge execution, achieving 97% clean merge accuracy versus 71% for direct file writes.

AI inference prices have collapsed 60-80% in September 2026. OpenAI's GPT-4o mini hit $0.10/1M input tokens, Anthropic's Claude Sonnet 4.5 at $0.75/1M, and DeepSeek's V4 Flash at $0.07/1M. This analysis examines the strategic drivers, profit implications, and winners in the AI price war.

RubyLLM 1.0 is a beautifully designed Ruby library for AI application development with native MCP support, multi-provider routing (OpenAI, Anthropic, Google, DeepSeek), and an elegant DSL. This deep dive benchmarks its performance against Python alternatives and explores production patterns for Ruby-based AI agents.

Nvidia controls 91% of the AI accelerator market in September 2026, making its GPU allocation and pricing decisions the closest thing to monetary policy the AI economy has. This analysis examines how Nvidia's compute allocation strategy shapes which AI startups survive, which models get built, and which research directions receive funding.

Running local LLMs inside game engines unlocks NPCs with real-time dialogue, dynamic storytelling, and in-game AI agents — all without server costs or latency. This deep dive benchmarks Godot (WebGPU) and Unity (ONNX Runtime) integrations for 2B-8B parameter models at 30fps inference.

Reality Defender (YC W22) provides a multi-modal deepfake and GenAI detection API that analyzes images, audio, video, and text for synthetic content. This guide builds a five-stage LangGraph workflow — ingest, analyze, cross-validate, escalate, audit — achieving 99.1% detection accuracy across 2026-generation AI forgeries.

AI Council is a browser-based multi-model deliberation framework where multiple LLMs debate answers, cross-validate reasoning, and output consensus results — all running in the browser via WebGPU. This deep dive explores the architecture, benchmarks against single-model baselines, and production deployment patterns for zero-hallucination agent outputs.

Coasty (YC S26) delivers an API-first computer-use agent harness that wraps browser and desktop automation into deterministic, replayable steps. This guide builds a three-phase LangGraph workflow — plan, execute, verify — that cuts end-to-end agent latency by 63% over naive Playwright-only loops.

MCPShark is a VS Code and Cursor extension that captures every MCP tool call — request, response, latency, payload — and renders it as an interactive timeline. This guide builds an MCPShark-powered monitoring server that exposes tool call telemetry as structured MCP resources for real-time agent debugging.

Atomic is a local-first, AI-augmented personal knowledge base that uses SQLite FTS5 and BM25 ranking for embedding-free semantic search. This guide builds an Atomic MCP Server that exposes note creation, semantic retrieval, and context merging as MCP tools — giving AI agents persistent, queryable memory with an 18MB memory footprint.

Inside iLands, an AI agent email spam operation using LLMs to generate personalized spam at scale. How it works, the economics, and why traditional spam filters fail against AI-generated content.