#task engineering
3782 related articles
Deep Dives·2 min
How AI Agents Work: The Four Core Elements and ReAct Loop Decision-Making Mechanism Explained
Deep dive into AI Agent's four core elements (LLM, Tools, Prompts, Executor) and ReAct loop decision mechanism, with a weather query example walkthrough.
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Tutorials·2 min
Cursor Tutorial: Build a Python Student Management System in 5 Minutes with AI Programming
A hands-on Cursor AI tutorial covering download, setup, three chat modes, Claude model selection, and auto-generating a complete Python student management system using Agent mode.
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Tutorials·1 min
Multi-Agent Collaborative Medical Consultation System: RAG + Local Deployment Practical Guide
A complete guide to building a multi-agent medical consultation system with RAG knowledge retrieval, local LLM deployment, and multi-agent architecture design.
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Tutorials·2 min
Practical Guide to Building a Dual-Terminal Skill System with Cursor + Claude Code
A solution for Skill system conflicts in Cursor and Claude Code dual-terminal development using a three-layer directory architecture for Opus and DeepSeek differentiated configuration.
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Tech Frontiers·1 min
OpenAI Codex Goal Mode Explained: How the AI Programming Assistant Executes Tasks Lasting Over 100 Hours
OpenAI Codex introduces Goal mode for sustained AI programming tasks lasting hours or days. Learn usage methods, best practices, and real-world applications.
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Tutorials·2 min
Google Antigravity in Practice: 6 Hidden Tips for Efficient Development
Master Google Antigravity IDE with 6 practical tips: Plan/Fast mode switching, mixed model strategies, quota monitoring, user rules, workflow reuse, and Manager mode for Agent First development.
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Tech Frontiers·2 min
Codex Plugin Sharing Explained: One-Click Workflow Sharing for Your Development Team
OpenAI Codex launches plugin sharing with one-click distribution to teammates via deep links and workspace permissions, turning personal AI workflows into shared team assets.
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Product Reviews·1 min
GitHub Open Source Week Picks: 5 Practical Open Source Projects to Boost Your Productivity
5 curated GitHub open source projects: Post-its AI social media tool, FreeCAD 3D modeling, GoBlueprint Go scaffolding, Keystone full-stack framework, and HertzBeat monitoring system.
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Tech Frontiers·2 min
datasette-agent-sprites: A Deep Dive into the AI Agent Sandbox Execution Plugin
Simon Willison releases datasette-agent-sprites plugin for secure AI Agent command execution in Fly Sprites sandbox. Analysis of its architecture, use cases, and significance.
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Tutorials·2 min
Docker Model Runner Tutorial: Run AI Models Locally with a Single Command
Learn how to install, configure, and use Docker Model Runner to run AI models locally with Docker Compose integration, OpenAI API compatibility, and zero-config LLM deployment.
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Deep Dives·2 min
How NVIDIA's Multi-Agent System Automates Financial Signal Discovery
Deep analysis of NVIDIA's multi-agent system for quantitative financial signal discovery, covering architecture design, LLM financial reasoning, and automated backtesting iteration.
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Deep Dives·1 min
Factory Missions Architecture Deep Dive: How a Multi-Agent System Runs Continuously for 16 Days
Deep dive into Factory Missions multi-agent architecture: how validation contracts, serial execution, and structured handoffs enable an AI coding system to run 16 days without losing context.
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Deep Dives·1 min
Harness Engineering Explained: The Underlying Principles and Practical Methods for Controlling AI Agents
Deep dive into Harness Engineering: controlling AI Agents through rules, tool configuration, and workflow design, plus feedback mechanisms and Lifelong AI Agent practices.
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Deep Dives·2 min
Harness Engineering Explained: The Third Paradigm Shift in AI Engineering
Deep dive into Harness Engineering: the evolution from Prompt Engineering to Context Engineering to Harness Engineering, comparing Anthropic and OpenAI's different approaches to AI Agent development.
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Tutorials·1 min
Archon Deep Dive: A Practical Guide to the Open-Source AI Coding Harness Builder
Deep dive into Archon, the open-source AI coding Harness builder. Learn how orchestrating multiple AI coding Agents can boost PR acceptance rates from 6.7% to 70% through systematic AI programming engineering.
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Expert Opinions·2 min
A Critical Look at AI Coding: Copilot Is Not a Developer's Replacement
An in-depth look at how to properly use AI coding tools like GitHub Copilot, exploring hybrid development, prompt evolution, and the risk of eroding developer learning abilities.
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Tutorials·2 min
OpenAI Codex Hands-On Tutorial: A Complete Guide to Prompt Engineering, Agent Skills & Cloud Automation
Deep dive into OpenAI Codex's three core capabilities: prompt engineering for better code generation, agent skills for autonomous programming, and cloud automation for end-to-end CI/CD pipelines.
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Tutorials·2 min
Practical Guide to Prompt Engineering: Core Optimization Techniques and Pitfalls to Avoid in 2026
A 2026 practical guide to prompt engineering: format selection, system message priority, role setting, few-shot learning, structured output, and how to avoid common pitfalls.
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Expert Opinions·2 min
The Best Programming Language of 2026 Is English
As AI coding tools take center stage, natural language skills are replacing hand-written code as the core developer competency. Here's why English is now the most important programming language.
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Tutorials·2 min
Claude Code Beginner's Guide: From Zero-Knowledge Installation to Hands-On Practice
Complete beginner's guide to Claude Code covering installation, core features, context management, memory system, and a learning path from basics to practice. Master Vibe Coding with AI.
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