Aug 15, 2026 · Artificial Intelligence

Why Ryan Dahl Built Deno and Celld: An AI‑Agent Swarm Investigation

The author used EvoX's AI‑agent swarm mode to dissect the histories, design motivations, and trade‑offs of Node.js, Deno, Celld, and later Bun, revealing token‑cost savings, methodological insights, and debunking the claim that Celld is a third‑generation Node.js runtime.

AI AgentsBunDeno

0 likes · 10 min read

Why Ryan Dahl Built Deno and Celld: An AI‑Agent Swarm Investigation

Machine Learning Algorithms & Natural Language Processing

Jul 26, 2026 · Artificial Intelligence

EvoX Matches Codex Scores at Just $1.95 per Task – How a Chinese Team Achieved It

The article analyzes why most multi‑agent AI projects fail, introduces EvoX’s swarm‑self‑evolution approach that splits tasks into atomic units, shows benchmark results where EvoX rivals Codex while cutting per‑task cost to $1.95, and explores how information design drives agent self‑organization.

AI AgentsEvoXMulti-Agent Systems

0 likes · 12 min read

EvoX Matches Codex Scores at Just $1.95 per Task – How a Chinese Team Achieved It