#Domain-Driven Design
27 related articles
·4 min
Getting Started with AI Agent Development: A Complete Guide from Concept to Practice
A comprehensive guide to AI Agent architecture and development, covering automated marketing, intelligent customer service, and investment analysis scenarios with single and multi-agent collaboration.
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·3 min
Domain Event Modeling: Redesigning Business Systems Through the Separation of Facts and Reactions
Explore Domain Events modeling: how separating facts from reactions reduces coupling, improves extensibility, with practical implementation advice and DDD community debates.
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·4 min
Burning Through 80 Billion Tokens: Why Vibe Coding Is Doomed to Fail
A creator spent 40 days and 80 billion tokens testing the real limits of Vibe Coding. This article dissects why AI programming crashes in production: complexity, context limits, and compression loss.
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·3 min
Enterprise Long-Running Agent Engineering: A Complete Guide from Demo to Production
A deep dive into enterprise Agent engineering: long-running execution, HITL safety approvals, and event sourcing — with two real-world commercial projects for content ops and SRE.
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·5 min
AI Coding Getting Worse With Every Edit? Skills v1.1 Reveals the Real Cause and Solution
AI code getting messier with edits? The root cause isn't weak model capability but a lack of context and process. A deep dive into Matt Pocock's Skills v1.1: grilling, vertical-slice tickets, TDD, and WebFinder.
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·3 min
Code Written for Humans: Maintainability Is the Core of Software Development
Code is read far more than it's written. This article explores the core principles of maintainability — clarity, naming, consistency, and how to evaluate AI-generated code quality.
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·3 min
Programs as Data Flow: Rethinking Architecture Paradigms Through Building a 3D Editor in C++
A developer builds a 3D editor from scratch in C++, modeling programs as dataflow graphs rather than object collections. Exploring dataflow vs. OOP, Greenspun's Tenth Rule, and the debugging dividend of visual programming.
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·6 min
Escaping AI Agent Skill Hell: A Complete 4-Step Guide to Writing High-Quality Skills
Matt Pocock's 4-step framework for AI Agent Skill design: Trigger, Structure, Steering, Pruning. Escape skill hell, tell good skills from bad, and master leading words to make Agents follow your intent.
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·6 min
Escaping AI Agent Skill Hell: A Complete 4-Step Guide to Writing High-Quality Skills
Matt Pocock's 4-step framework for AI Agent Skill design: Trigger, Structure, Steering, Pruning. Escape skill hell and learn to write high-quality skills.
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·2 min
OpenCQRS 2.0: Write Tests in Business Domain Language and Let the Code Speak for Itself
OpenCQRS 2.0 introduces a testing DSL that aligns with business domain language. Explore how Given-When-Then maps to CQRS/Event Sourcing and enables living documentation.
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·4 min
Deep Dive: How Palantir Agents Interact with the Ontology
A deep dive into Palantir's five-layer Agent-Ontology architecture: how Context, Query, Logic, Action, and Governance layers work together to enable governed enterprise AI Agents, with a live demo.
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·3 min
Deep Module Architecture in Practice: Fixing a Codebase Wrecked by AI
Is AI-assisted coding making your codebase messier? Learn deep modules, seams, and adapters from A Philosophy of Software Design to systematically fix your architecture.
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·4 min
Claude Code Workflow in Practice: From Requirement Grilling to AFK Agent Auto-Coding
A detailed walkthrough of building real features with Claude Code: Grill Me requirement interrogation, auto-generated PRDs, AFK agent coding, and QA iteration loops with DDD and TDD strategies.
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·4 min
The Complete AI Agent Engineering Tech Stack: A Practical Guide to 100x Development Efficiency
Deep dive into the AI agent engineering stack: from Cursor framework, model selection to context engineering and automated review loops — a complete workflow guide to achieving 100x development efficiency.
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·3 min
Harness AI Engineering Programming: A Detailed Methodology for Enterprise-Level Project Development
Deep dive into Harness AI Engineering Programming methodology, covering SDD, Skill development patterns, and core practices for enterprise-level AI-assisted development.
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·3 min
OpenAI Codex Deep Dive: Core Capabilities and Engineering Best Practices Guide
Deep dive into OpenAI Codex's core capabilities including multi-task parallelism, Agent Loop mechanism, and Specification-Driven Development (SDD), with learning resources and advanced paths for mastering AI programming workflows.
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·3 min
Multi-Model Unified Orchestration Framework: Runtime Dynamic Switching Across Eight AI Services in Practice
Deep dive into a runtime AI chatbot integrator architecture covering unified orchestration of OpenAI, Claude, DeepSeek text models and 11Labs, Azure TTS services with latency testing and streaming synthesis.
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·2 min
Claude Code Goes Viral: Opportunity or Crisis for Programmers?
In-depth analysis of Claude Code's impact on programmers: efficiency gains, junior role disruption, hidden AI code bugs, and skill degradation risks. With practical advice for developers.
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·4 min
Grill With Docs: Doubling AI Programming Collaboration Efficiency with a Unified Language
From Grill Me to Grill With Docs: applying DDD's Ubiquitous Language to solve terminology drift and context loss in AI programming for efficient cross-session collaboration.
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Product Reviews
OpenAI Codex Role-Specific Plugins Exp…
·2 min
OpenAI Codex Role-Specific Plugins Explained: Reshaping Team Collaboration Workflows
OpenAI launches Codex role-specific plugins covering data analysis, creative production, and product design, integrating 60+ systems to enable closed-loop workflows from ideation to prototype publication.
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