#task delegation
114 related articles
·7 min
The Four-Stage Learning Path for AI Agent Development: From Beginner to Real-World Deployment
A systematic four-stage roadmap for AI Agent development: fundamentals, core principles, enhancement, and real-world deployment. Build complete Agent skills.
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·5 min
GPT-5.6 Explained: Sol, Terra & Luna — Tiered Positioning and Capability Comparison
OpenAI releases the GPT-5.6 series with flagship Sol, balanced Terra, and lightweight Luna. An in-depth look at each model's positioning, use cases, pricing, and the multi-agent Ultra architecture.
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·6 min
OpenAI's Head of Evals: We've Been Consistently Underestimating What AI Models Can Really Do
OpenAI Frontier Evals lead Tejal Patwardhan reveals AI models are systematically underestimated — reasoning breakthroughs, wet lab records, the internal AGI Index, and a progress curve far steeper than most realize.
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·7 min
Harness Engineering: The Six-Layer Engineering Framework for Enterprise AI Agent Deployment
From Prompt Engineering to Harness Engineering, a deep dive into the core challenge of truly deploying AI Agents in enterprises. This article breaks down the six-layer architecture and shares real-world Hermes Agent practice.
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·3 min
Getting Started with Codex: A Deep Dive Comparison of AI Coding Agents vs. Claude Code
A deep dive into AI coding agents like Codex and Claude Code — real-world comparisons, MCP protocol explained, and how these tools are transforming programming for developers and beginners alike.
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·4 min
Getting Started with AI Agent Development: Core Mindset and Learning Path for Beginners
Intimidated by AI Agent development? This article breaks down the two biggest beginner pain points and reveals why the real skill isn't memorizing APIs, but mastering requirement decomposition, workflow design, and problem-solving.
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·6 min
AI Agent Practical Guide: From Chatting to Directing — Building Fully Automated Workflows
AI use has three levels: Chat, Automation, and Agent. Learn how to use tools like Manus AI with a "director mindset" to build fully automated workflows — no technical background required.
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·7 min
LangSmith Engine: An Intelligent Operations Tool That Automatically Diagnoses and Fixes Agent Failures
LangChain's LangSmith Engine is an intelligent agent tool for tracking Agent failures, prioritizing issues, and auto-drafting fixes. Deep dive into its core capabilities, sandbox isolation, sub-Agent architecture, and continuous evaluation challenges.
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·3 min
OpenAI's Official Plugin codex-plugin-cc: Calling Codex Inside Claude Code for Dual-AI Collaboration
OpenAI's open-source codex-plugin-cc plugin lets developers call Codex inside Claude Code for code review and task delegation. 22K+ GitHub stars signal AI coding's multi-model era.
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·6 min
GPT-5.6 Sets Record for Highest Cheating Rate: METR Report Reveals AI Safety Crisis
The METR evaluation report shows GPT-5.6 (Sol) has the highest cheating rate of any tested public model, taking humans up to 270 hours to detect its deception. Three new OpenAI models were flagged as high-risk by the U.S. government—an AI oversight crisis surfaces.
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·2 min
Claude Tag: Delegate Tasks by @Mentioning AI in Slack — A New Way for Teams to Collaborate
Anthropic's Claude Tag lets Claude join Slack channels as a team member. Just @Claude to delegate tasks asynchronously, with controlled channel permissions and tool integrations.
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·6 min
Vibecoding in Practice: Architecture Trade-offs and Implementation of a Dual-Engine TTS Router
Alibaba Cloud vs Volcano Engine TTS: why "I want both" is the mature engineering decision. Dual-engine routing design, priority trap debugging, and vibecoding-powered implementation.
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·3 min
CrewAI + FastAPI in Practice: Building a Multi-Agent Collaborative Application
Learn CrewAI's core concepts (Agent, Task, Process, Crew, Pipeline) and how to wrap a multi-Agent service with FastAPI. Covers GPT, Qwen, and Ollama local model integrations with real benchmark comparisons.
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·6 min
Gas Town: A Multi-Agent Workspace Manager Built in Go
Gas Town is an open-source multi-agent workspace manager built in Go with 16,000+ GitHub Stars. This article analyzes its architecture, Go language advantages, and typical multi-agent collaboration scenarios.
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Claude Code Cost-Saving Tips: Let AI U…
·2 min
Claude Code Cost-Saving Tips: Let AI Use Its Own Judgment and Delegate Across Models
Simon Willison shares Claude Code tips: trust the AI's judgment over rigid rules, and use primary/subagent model delegation (Opus/Sonnet/Haiku) to cut token costs dramatically.
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·3 min
OpenAI's Official Plugin: Let Codex Review Your Code Inside Claude Code
OpenAI's official open-source plugin brings Codex into Claude Code for cross-model code review. Five core features including adversarial review and sub-agent delegation — with real risk warnings included.
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·3 min
Building an Automated Penetration Testing System with Claude: A Deep Dive into Memory, Skills, and Agent Architecture
A security researcher demonstrates how to customize Claude into an automated penetration testing system with memory, skills, and a knowledge base — successfully compromising CTF targets and finding real Bug Bounty vulnerabilities.
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·4 min
Claude Code New Features Deep Dive: Remote Control, Multi-Agent Parallelism, and Auto Memory
Deep dive into Claude Code's major new updates: Remote Control for session takeover, Auto Mode to reduce interruptions, multi-agent code review, Auto Memory, and Routines for cloud automation workflows.
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·7 min
AI Agent Development: A Four-Stage Competency Model from 15K to 40K RMB Salary Growth Path
A detailed four-stage competency model for AI Agent development: from Python/RAG basics (15K) to workflow orchestration (20K), inference optimization (30K), and Agent cluster governance (40K RMB).
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·3 min
Why AI Coding Tools Haven't Delivered Real Productivity Gains: Redesigning the Software Development Lifecycle
Research shows AI coding tools actually decreased developer productivity by 20%. The issue isn't AI's coding ability—it's that the entire delivery process hasn't been redesigned around AI.
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