#Steer function
125 related articles
·4 min
Harness Engineering in Practice: Mastering the Four Core Principles and Implementation Methods
Deep dive into Harness Engineering's four core principles: Documentation as Source of Truth, Mechanized Constraints, Feedback Loops, and Entropy Management, with practical AI Agent cases.
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·2 min
Tesla Responds to Fatal Texas Crash: Whether Autopilot Was Engaged Becomes Central Dispute
A fatal Tesla crash in Texas sparks debate over whether Autopilot was engaged. Tesla pushes back while investigators await data logs. Analysis of possibilities, liability, and the trust dilemma facing driver-assistance systems.
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·2 min
Kimi K2.7 Code Hands-On Review: What Makes This Trillion-Parameter Open-Source Coding Model Stand Out?
In-depth hands-on review of Kimi K2.7 Code open-source coding model across 6 scenarios including 3D games, frontend design, and STL parsing. Trillion-parameter MoE with 30% token efficiency gains at 1/12.5 the price of closed-source models.
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·3 min
Global Robotaxi Scorecard: How China Is Establishing Autonomous Driving Dominance
Based on TechCrunch's latest Robotaxi scorecard, a deep analysis of China's dominance in autonomous taxis covering commercialization scale, policy support, supply chain synergy, and U.S.-China competition.
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·4 min
Building a Tide App Mini Program with Codex in 4 Sessions: A Hands-On AI Coding Agent Tutorial
Learn how to build a Tide App WeChat Mini Program in 4 sessions using OpenAI Codex AI coding Agent, covering agents.md setup, Plan Mode, domain config, and more.
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·4 min
DeepSeek Forms Harness Team: AI Coding Competition Enters the Second Half
DeepSeek forms a dedicated Harness team to rival Claude Code. Analysis of the four-layer architecture, three core advantages, and 40x cost edge driving AI competition from model wars to engineering deployment.
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·3 min
Complete Guide to OpenAI Codex: Installation, Configuration, and Practical Tips
Complete guide to OpenAI Codex APP covering installation, sandbox permissions, multi-task parallelism, Steer function, and practical tips for developers.
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·3 min
Dissecting Cursor's Technology: Why IDEs Are Being Agent-ified
Deep dive into how Cursor embeds Agent capabilities into the IDE — from context awareness and planning to layered rules and surgical diff review.
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·4 min
Five Essential Cursor Skills Every QA Engineer Needs: A Complete Breakdown
A detailed guide to five essential Cursor Skills for QA engineers: PRD analysis, test case generation, JMeter scripting, load test reports, and web automation.
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·3 min
Getting Started with Claude Code: A Five-Dimensional Analysis of the New AI Programming Paradigm
Explore 5 key differences between Claude Code and traditional AI chat tools, covering interaction, context, execution, memory, and tool integration for developers.
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·3 min
Hermes AI Kanban: A Five-Layer Autonomous Architecture for Fully Automated Delivery from Idea to Finished Product
Deep dive into Hermes Kanban 2.0's five-layer autonomous architecture covering intelligent planning, human approval gates, multi-agent execution, and Obsidian integration for fully automated delivery.
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·3 min
Claude Code Installation Guide & The Five Stages of AI Programming Tools Explained
Complete Claude Code installation guide with the five stages of AI programming tools, from manual coding to agents. Learn 0-to-1 project building and 1-to-100 iteration challenges.
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·4 min
OpenAI Engineer's Practice: Agent-Driven Development Methodology in the Era of Free Code
OpenAI engineer Ryan Lopopolo shares 9 months of pure AI agent coding practice, revealing core methodologies including prompt engineering, automated code review, and skill design in the new paradigm where code is free.
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·4 min
Harness Engineering: A New Software Development Paradigm Where Humans Steer and AI Agents Execute
OpenAI engineer Ryan Lopopolo introduces Harness Engineering — a methodology where humans build constraint systems and AI agents handle all code implementation.
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·4 min
Feedback Loops in Coding Agents: How Failure Becomes Fuel for Fixes
Deep dive into coding Agent feedback loops: how AI tools turn errors and test failures into correction signals. Covers context management, root cause analysis, death loop avoidance, and more.
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·4 min
Cursor Programming Tool In-Depth Review: Core Features and Use Cases of an AI-Native IDE
In-depth review of Cursor's four core features: AI-native design, smart code generation, context awareness, and multi-model support, with a six-dimension comparison against traditional IDEs.
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·2 min
The Complete Guide to Claude Code: A Practical Deep Dive into AI Programming from Beginner to Expert
Deep dive into Claude Code's core strengths, Prime mode, and interrogative programming. Compare with Cursor and Copilot, analyze AI coding in 0-to-1 vs 1-to-100 scenarios.
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·2 min
Two Years of AI Growth: From Passively Following Instructions to Proactively Understanding Intent
A look at AI's core evolution over two years: from a prompt-dependent instruction follower to an autonomous collaborator that understands intent, plans tasks, and self-corrects.
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Tutorials·3 min
From Claude Code to Codex: A Practical Guide to Diversifying Your AI Coding Tools
Learn how to integrate OpenAI Codex into your dev workflow alongside Claude Code. Covers pricing comparison, desktop setup, one-click migration, context management differences, and unique visualization features.
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Tutorials·4 min
OpenAI Codex in Practice: A Complete Workflow for Advancing 6 Projects Simultaneously
A detailed guide to OpenAI Codex desktop app's multitasking workflow, covering iOS development, web deployment, design integration, video production, investor decks, and social media automation.
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