341 related articles
Expert OpinionsYC CEO Gary Tan returned to coding after 13 years using Token Maxing with Claude Code, completing a $4M project in 5 days. Detailed breakdown of his 15 parallel agents, Plan-Eng-Review skills framework, and G-Stack open-source workflow.
TutorialsDeep dive into Harness Engineering's six core modules: Rule, Skill, Subagent, Workflow, Scripts, and MCP — explained through workplace analogies for AI engineering collaboration.
Product ReviewsIn-depth analysis of Google I/O 2026's AntiGravity 2.0 desktop app, Go-rewritten CLI, and Gemini 3.5 Flash model. Covers multi-agent workflow testing, benchmarks, and competition with Claude Code/Cursor.
Deep DivesDeep dive into Harness Engineering: controlling AI Agents through rules, tool configuration, and workflow design, plus feedback mechanisms and Lifelong AI Agent practices.
Deep DivesDeep 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.
TutorialsDeep 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.
Tech FrontiersOpenAI CEO Sam Altman and former Apple design chief Jony Ive announce IO's merger with OpenAI to build AI-native hardware. Altman calls it "the coolest tech product ever," aiming to democratize AI.
Tech FrontiersOpenAI merges with Jony Ive's hardware company io to create a new AI device beyond the iPhone. Altman calls it "the coolest tech product ever made," marking AI's leap from software to new hardware.
TutorialsDeep dive into Harness Engineering methodology covering the three-stage evolution from prompt engineering to context engineering to AI Agent mastery, with enterprise e-commerce project examples.
TutorialsA deep dive into the Harness AI Engineering Programming framework — how to use Claude Code with VS Code for enterprise-grade development, covering architecture, task decomposition, and quality gates.
Tech FrontiersDeep analysis of Alibaba's Qwen3.7 Max: 1T-parameter MoE architecture, 256K context window, leading agent programming capabilities, full framework compatibility, and the model-vs-harness industry debate.
Deep DivesDeep dive into Harness Engineering methodology: Agent=Model+Harness formula, the Prompt→Context→Harness evolution path, and a developer implementation guide.
TutorialsA deep dive into the Harness Engineering four-step closed-loop principle (Goal, Action, Verification, Memory), clarifying its relationship with Prompt Engineering, Context Engineering, and MCP.
Expert OpinionsWhen AI writes code faster than most engineers, should ordinary people still learn to program? A veteran developer analyzes how coding skills become the lever for harnessing AI productivity.
Deep DivesThe core of AI alignment is aligning What to do, not How to do. Through an Alembic database migration case, learn how Harness engineering crystallizes dev standards into reusable assets for automated programming.
TutorialsA detailed guide to Harness Engineering's three-layer architecture for controlling AI Agent code generation quality, covering the Information, Constraint, and Automation layers with practical setup and pitfall avoidance tips.
Tech FrontiersGPT Image 2 generates flawless text and photorealistic APP interfaces from scratch. Combined with Codex, AI front-end development enters a paradigm revolution. Coverage includes Amap's ABOT, LLM interpretability breakthroughs, and Huang's TPU rebuttal.
Deep DivesCan AI really program? This article explains how LLMs generate code through massive training and pattern matching, and analyzes the true capabilities and limitations of AI coding tools.
ResearchPrinceton and Google DeepMind propose Continual Harness, enabling LLM agents to automatically build and optimize scaffolding to beat multiple Pokémon RPGs without human intervention, cutting costs by 40%.
Deep DivesA clear breakdown of five core AI programming concepts — Prompt Engineering, Context Engineering, Agent, Skill, and Harness Engineering — with real-world use cases and advice for indie developers.