Скачать или смотреть This New AI Agent Architecture Outperforms Bigger Models | Confucius Code Agent Explained

What if the future of AI coding isn’t bigger models… but smarter agent systems?

#AI #AIAgents #SoftwareEngineering #LLM #AgentArchitecture #ArtificialIntelligence #Tech

In this video, I break down the Confucius Code Agent (CCA) — a new AI agent architecture designed to handle real-world software engineering tasks at scale.

Instead of just relying on model power, this system focuses on:

Hierarchical memory management

Persistent learning through structured notes

Modular tool extensions

A Meta-Agent that improves the agent itself

Clean separation between Agent Experience (AX), User Experience (UX), and Developer Experience (DX)

This architecture shows that better scaffolding can outperform stronger LLMs, especially on tough benchmarks like SWE-Bench-Pro.

You’ll understand:

Why most coding agents fail on large codebases

How Confucius manages long context without losing reasoning

How agents can remember past failures

How meta-agents design better agents automatically

Why this could shape the future of autonomous software engineering

If you're working with AI agents, LLM tools, LangGraph, OpenAI Agents SDK, or building production AI systems — this design pattern is extremely important.

This is not just another coding model.
This is AI system design at the agent level.

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