#AI engineering architecture
4795 related articles
·3 min
Self-Hosting a Code Review AI Agent: From Architecture Design to Engineering Implementation
A deep dive into building and self-hosting a code review AI Agent from scratch, covering architecture design, context management, model selection, and noise control.
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·3 min
AI Agent Architecture Decoded: An Engineering Guide from Conversations to Automation
A deep dive into the four-layer engineering design of AI Agents: planning, memory, tool use, API cost optimization, MCP protocol integration, and Skill encapsulation.
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·2 min
Harness Engineering Architecture Explained: An Essential Skill for AI Agent Developer Roles
Harness Engineering is becoming a must-have skill for AI agent developer roles. Learn the architecture, how top agent products use it, and how to practice with LangChain DeepAgents.
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·3 min
Complete Guide to Harness Engineering: The Three-Layer Architecture for AI Engineering Development
A deep dive into Harness Engineering's core architecture covering the Information, Constraint, and Automation layers to systematically constrain and verify AI Agent output for reliable development.
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Tutorials·4 min
Harness Engineering in Practice: A Three-Layer Architecture for Taming AI Agent Development
A 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.
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Tutorials·3 min
AI Agent Prompt Engineering: A Practical Guide to the Three-Layer Architecture
A practical guide to AI Agent prompt engineering using a three-layer architecture: System Layer, Input Layer, and Action Layer — with n8n examples.
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Deep Dives·3 min
How the Single Responsibility Principle Is Revolutionizing Prompt Engineering: A Modular AI Narrative Architecture Explained
Explore how the Singulari-Tea Codex open-source project applies the Single Responsibility Principle (SRP) to Prompt architecture design, building a modular AI narrative system optimized for Gemini 2.5 Pro.
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·3 min
Do AI Certifications Actually Impress Recruiters? A Practical Guide for Career Switchers
A blockchain developer switching to AI—which certifications are worth it? This guide analyzes the real value of AI certs, compares Hugging Face vs AWS options, and offers project-based alternatives.
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·3 min
Laguna S 2.1 Performance Upgrade: 10x Rate Limit Increase, 250B Tokens Processed Daily
Poolside announces major Laguna S 2.1 upgrade with 10x rate limits, 250B daily tokens on OpenRouter, 1M context dedicated deployment, and integration with cline, opencode, and other AI coding agents.
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·3 min
AI Replacing Programmers? This Prediction Has Been Made for 60 Years and Never Come True
From the 1960s to today, the prediction that AI will replace programmers has repeatedly appeared yet never come true. This article reviews 60 years of programming history and explains why developers remain valuable.
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·4 min
Introduction to Mathematical Foundations of Machine Learning: Definitions, Probabilistic Perspective & Core Framework Explained
Starting from Tom Mitchell's T-P-E framework, this guide explores ML's probabilistic perspective, random variables, and decision-making under uncertainty to build solid math foundations for ML.
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·3 min
Debunking 8 Myths About GenAI in Software Engineering: The Truth Behind AI-Powered Programming
An in-depth analysis of 8 common myths about GenAI in software engineering, covering AI replacing programmers, code quality, productivity, security, and compliance.
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·3 min
From π0 to Practice: An Advanced Project Roadmap for VLA Learners
After running π0.5 inference, what's next? A complete roadmap for VLA learners covering OpenPI fine-tuning, flow matching experiments, sim transfer & real robot deployment.
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·3 min
For Anxious ML Newcomers: How to Escape the Comparison Trap
Facing ML's rapid iteration and social media's survivorship bias, many newcomers fall into self-doubt. This article offers practical advice for escaping the comparison trap and rebuilding self-efficacy.
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·3 min
Claude Code Rewrites Claude App: Where Are the Limits of AI Coding Agents?
Anthropic developer Boris Cherny used Claude Code to rewrite the Claude App, revealing AI coding agents' real capabilities and limits on production codebases.
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·3 min
Cursor Agent vs Codex: Which Should Visual AI Developers Choose?
In-depth comparison of Cursor Agent Window vs OpenAI Codex for Vision AI development, analyzing large task handling, multi-file edits, debugging, and long-running tasks to help developers decide.
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·3 min
Alfa Project Analysis: A New Approach to Combating AI Hallucinations Using Resonance Mechanisms
Deep analysis of how the Alfa project borrows the physics concept of resonance to suppress LLM hallucinations through multi-path consistency verification, exploring its principles, advantages, and limitations.
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·4 min
Mistral Shieldstral: A Deep Dive into the 3B Parameter Open-Source Multimodal Content Moderation Model
Mistral releases Shieldstral, an open-source multimodal content moderation model with just 3B parameters for text and image safety detection. Learn about its features, use cases, and comparison with Llama Guard.
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·2 min
GPT-Live Full-Stack Rebuild: How AI Achieves Full-Duplex Conversation by Listening While Speaking
Deep analysis of OpenAI GPT-Live's voice architecture upgrade: how a full-stack rebuild from client to model enables full-duplex real-time conversation, redefining the AI voice interaction benchmark.
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·3 min
Poolside Desktop Assistant 1.4.0 Update: Subagent Collaboration and Local Model Speed Boost
Poolside Desktop Assistant 1.4.0 adds native steering, task queuing, plan mode, and subagent collaboration, plus major local model inference speed improvements with deep Claude and Codex integration.
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