#Code Harness architecture
328 related articles
Industry Insights·3 min
Deep Dive into LangChain's Full-Lifecycle Toolchain for Agent Development
LangChain unveils a full-lifecycle toolchain for Agent development at Interrupt, covering Deep Agents 0.6, SmithDB, Context Hub, LLM Gateway, and LangSmith Engine.
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Industry Insights·4 min
Google I/O 2026 Deep Dive: From Super Apps to the Battle for Ecosystem Dominance
Deep analysis of Google I/O 2026: Gemini 3.5 Flash, Omni video tools, Spark personal Agent, and how Google, OpenAI, and Anthropic are competing for AI ecosystem dominance.
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Tutorials·3 min
Context Engineering in Practice with CodeBuddy IDE: Two Rule Files to Generate Apps with a Single Sentence
Learn how to apply Context Engineering in CodeBuddy IDE using two custom rule files — a Requirements-to-TODO-LIST engine and a Project Execution engine — to generate complete apps with a single sentence.
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Research·2 min
Agent Loops in Practice: Transforming Token Output into Productivity from CUDA Kernels to Automated Research
Deep dive into how the Humanize framework transforms LLM tokens into engineering productivity via Agent Loops. Covers KDA winning CUDA kernel contests, virtual hardware optimization, and 50% research cost reduction.
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Tutorials·3 min
Claude Code Source Code Study Guide: Efficiently Mastering Core AI Agent Development Architecture
Learn AI Agent development from Claude Code's 510K lines of source code, covering Agent Loop, context compression, multi-Agent orchestration, and two efficient study methods.
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Tutorials·2 min
Harness Engineering Deep Dive: Multi-Level Memory and Multi-Agent Collaborative Development in Practice
Deep dive into Harness Engineering: deconstructing Claude Code's multi-level memory, defense-in-depth, Hermes Agent autonomous evolution, and multi-Agent collaboration for industrial-grade AI development.
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Research·2 min
AI Gaming Showdown: O3 Pro Demonstrates Stunning Planning Capabilities
Researchers tested major AI models with Tetris, Super Mario, and Sokoban. O3 Pro showed unprecedented planning ability, becoming the only model to clear all levels. Game testing reveals AI's evolution from pattern matching to strategic thinking.
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Tutorials·2 min
DeepSeek V3 + bolt.html: A Practical Guide to Generating Beautiful Web Pages with Zero Code
Learn how DeepSeek V3-0324 and open-source tool bolt.html combine to generate beautiful HTML pages with zero code using prompt engineering techniques.
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Deep Dives·3 min
memU Memory Framework Explained: Unifying Multi-Modal Agent Memory with a File System
Deep dive into the memU open-source memory framework: how it organizes Agent memory as a file system with three-layer semantic abstraction, dual-loop collaboration, and two retrieval modes.
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Tutorials·2 min
Harness AI Engineering: A Practical Methodology for AI-Assisted Programming in Enterprise Projects
Explore the Harness AI Engineering methodology for enterprise AI programming — solving code hallucinations, quality issues, and more with systematic human-AI collaboration.
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Tutorials·3 min
Deep Dive into Claude Code SDK: A New AI Programming Paradigm for Auto-Writing Code and Reviewing PRs
In-depth analysis of Anthropic's Claude Code SDK & GitHub Action: piping, structured output, permissions, session resumption, and fully automated Issue-to-PR workflows.
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Tutorials·3 min
Harness Engineering: A Practical Guide to AI Programming — From Prompts to Mastery
Explore the three stages of AI programming evolution: from Prompt Engineering to Context Engineering to Harness Engineering. Master enterprise-grade AI coding with Cloud Code + VS Code.
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Tutorials·2 min
Cursor AI Programming in Practice: A Complete Guide to Using Coding Agents Efficiently
A deep dive into Cursor's coding agent architecture and practical techniques, covering code search, feature development, debugging, code review, and custom configuration for efficient AI programming.
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Tutorials·3 min
Harness Engineering: A Practical Guide to AI Development — From Prompts to Mastering AI Agents
A deep dive into Harness Engineering's three-layer architecture: Information, Constraint, and Automation layers, covering Agent failure modes, OpenAI and Anthropic best practices, and AI tool selection strategies for controlled AI development.
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Deep Dives·3 min
Harness Engineering Explained: Building Stable and Efficient Work Systems for AI
Deep dive into Harness Engineering: how to build execution environments, toolchains, and feedback loops for AI. From Prompt Engineering to system-level engineering for stable AI production.
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Tutorials·3 min
Learning LLM Application Development from Scratch: A Complete Roadmap from RAG to Agent
How to start LLM application development from scratch? A complete roadmap covering Python basics, RAG knowledge bases, and Agent development with LangChain.
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Tutorials·2 min
Mock Interview Review for a Test Engineer with 6 Years of Experience: Three Fatal Mistakes and How to Fix Them
A 6-year test engineer's mock interview reveals three fatal flaws: poor communication, contradictory framework descriptions, and shallow AI application depth. Learn targeted strategies to improve.
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Industry Insights·2 min
GPT-5.5 Reduces Error Rate by 46% in Databricks Document Parsing: Real-World Data and Architecture Breakdown
Databricks tests show GPT-5.5 cuts error rates by 46% in complex document parsing, the only model to break 50% accuracy. Detailed analysis of its breakthroughs in numerical parsing and multi-agent architecture.
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Product Reviews·1 min
ECC: A Unified AI Programming Operating System for Claude Code, Codex, and Cursor
ECC (Enhanced Claude Code) is an open-source AI programming OS that unifies Claude Code, Codex, and Cursor through a five-layer architecture with 246 skills, 61 Agents, and selective installation.
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Tutorials·2 min
Hermes Agent Development in Practice: From Installation & Configuration to Lark Integration and Code Review
A practical guide to the Hermes enterprise AI Agent framework: installation, MCP protocol integration, Lark bots, news aggregation, and automated code review.
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