#Agent Framework
3789 related articles
Deep Dives·3 min
LLM 0.32 Refactor: How Message Sequences and Streaming Chunks Are Reshaping Python LLM Interactions
Simon Willison releases LLM 0.32a0 alpha with message sequences and typed streaming chunks, redefining how Python developers interact with LLMs while maintaining full backward compatibility.
Read more →
Deep Dives·4 min
Agent, MCP, and Function Calling: A Complete Guide to Their Differences and Relationships
A deep dive into the relationships between AI Agent, MCP protocol, Function Calling, and Prompt. From basics to full architecture, build a clear cognitive framework for AI app development.
Read more →
Tutorials·3 min
Building an AI Digital Human Agent from Scratch: Architecture Design & Full Technical Breakdown
Complete guide to building an AI digital human Agent, covering Agent, RAG, WebRTC, and Docker deployment with architecture design and engineering best practices.
Read more →
Tech Frontiers·2 min
Codex Adds OpenAI Developers Plugin — Building AI Apps with AI Just Got Easier
OpenAI Codex adds the Developers plugin, letting developers directly access OpenAI API docs and best practices to rapidly build AI Agents and smart apps.
Read more →
Tech Frontiers·3 min
OpenAI Codex Adds Computer Use: AI Agents Autonomously Control Mac in the Background
OpenAI adds Computer Use to Codex, enabling AI agents to autonomously click, type, and operate across Mac apps in the background without taking user control.
Read more →
Tech Frontiers·2 min
OpenAI Symphony: One Codex Agent Per Task — A New Paradigm for Multi-Agent Parallel Programming
Deep dive into OpenAI's Symphony: assigning an independent Codex agent to each task for multi-agent parallel programming. Explore its architecture, developer impact, and industry trends.
Read more →
Deep Dives·3 min
Claude's Advisor Strategy: Small Models Execute, Large Models Supervise — A New Cost-Saving Paradigm for AI Agents
Anthropic's Advisor Strategy lets Sonnet execute tasks while Opus serves as advisor, cutting costs 12% while boosting SWE-Bench by 2.7 points. A new multi-model AI Agent paradigm explained.
Read more →
Tutorials·3 min
Claude Code Domestic Alternative: Low-Cost Deployment and Six Core Architecture Components Explained
Detailed guide on deploying Claude Code domestic alternatives via compatible API interfaces. Deep dive into six core systems: built-in tools, hierarchical memory, multi-Agent collaboration, and more.
Read more →
Industry Insights·3 min
AI-Native Engineering Transformation: Real Emotions and Coping Strategies from 218 Technical Leaders
Based on research with 218 engineering leaders, this deep dive explores the contradictory emotions in AI-native transformation — excitement and anxiety coexisting — and how leaders navigate successful change.
Read more →
Tutorials·3 min
AI Project Evaluation Framework: A Practical Guide to 5 Levels and 30 Key Metrics
A battle-tested AI project evaluation framework covering 5 levels and 30 core metrics—model quality, UX, system efficiency, business value, and data loops—to scientifically assess LLM Agent performance.
Read more →
Tutorials·3 min
Andrew Ng's New Course: A Practical Guide to Data Governance for Enterprise AI Agents
Andrew Ng and Databricks launch an AI Agent data governance course covering least privilege principles, Unity Catalog permissions, MLflow tracing, and a complete governance lifecycle from build to deployment. Free to learn.
Read more →
Product Reviews·3 min
Tensorlake Skills: Giving AI Coding Agents Real-Time Access to Up-to-Date Documentation
Tensorlake Skills is a skill module for AI coding agents like Claude Code and OpenAI Codex, routing them to real-time docs on sandboxes, orchestration, and SDKs to fix outdated training data issues.
Read more →
Product Reviews·2 min
Perfect-Web-Clone: A Deep Dive into the Pixel-Perfect Web Cloning Tool Built on Multi-Agent Architecture
Deep dive into the Perfect-Web-Clone open-source project: how its Claude Agent SDK multi-agent architecture and 40+ specialized tools achieve pixel-perfect web cloning beyond Cursor and single-model tools.
Read more →
Industry Insights·3 min
AI Tool Adoption ≠ Transformation: 219 Engineering Leaders Reveal the Real Gap
A survey of 219 engineering leaders reveals most teams adopted AI dev tools without truly changing how they build software. Discover the gap and three key traits of successful transformation.
Read more →
Research·2 min
Prompt Tuning Delivers 3-10% Efficiency Gains: The Hidden Dividend of Scaling Coding Agents
Prompt engineering optimizations for coding Agents reduce tool calls, lower output tokens, and improve completion speed by 3-10%—delivering significant cost savings and latency reduction at scale.
Read more →
Tech Frontiers·2 min
LlamaIndex Integrations Get a Major Overhaul: Key Upgrade Points Every Developer Should Know
LlamaIndex official integrations get a major overhaul covering API optimization, documentation improvements, and unified interfaces. Learn the impact on RAG and LLM app development with migration tips.
Read more →
Deep Dives·3 min
Why Is AI Agent Testing So Hard? How Simulation Testing Cracks the Infinite Input Space Problem
AI Agents face infinite input spaces and non-deterministic outputs. Learn how simulation testing systematically validates Agent reliability through scenario generation, environment simulation, and behavior evaluation.
Read more →
Tech Frontiers·3 min
Simulation Reshaping AI Testing: A New Paradigm for Systematically Validating AI Application Reliability
Explore how simulation solves AI testing challenges, covering scenario simulation, large-scale regression testing, and multi-agent verification to build reliable AI systems.
Read more →
Deep Dives·3 min
CC-Switch: An Open-Source Desktop Tool to Manage Six Major AI Coding Assistants in One Interface
CC-Switch is a Rust-based cross-platform desktop app that unifies Claude Code, Codex, Gemini CLI, and three other AI coding assistants in one interface, with 67,000+ GitHub Stars.
Read more →
Tech Frontiers·3 min
Karpathy Open-Sources autoresearch: A Deep Dive into the AI-Powered Automated Research Tool with 80K Stars
Andrej Karpathy open-sources autoresearch, an AI Agent tool that automates nanochat training experiments on a single GPU. With 80K+ GitHub Stars, we break down its architecture and impact.
Read more →