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Domain-Driven Design for AI Coding Agents

Filed Under: Create Tagged With: Agentic Development, Agentic Loops, Aggregates, AI Coding Agents, AI Software Engineering, Anti-Corruption Layer, Bounded Context, Context Engineering, Domain-Driven Design, Hexagonal Architecture, Software Architecture, Ubiquitous Language

AI agents each working sharply inside its own clean bounded-context room, versus one agent lost in a tangled monolith

A coding agent turned loose on a tangled monolith behaves exactly like a junior who’s never seen the codebase: it guesses, it duplicates, it confidently wires the wrong things toge

The Orchestrator-Worker Pattern for AI Coding Agents

Filed Under: Create Tagged With: Agent Orchestration, Agentic Development, Agentic Loops, AI Coding Agents, AI Software Engineering, Claude Agent SDK, Context Engineering, Git Worktrees, Multi-Agent Systems, Orchestrator-Worker Pattern, Subagents, Verification Loop

An orchestrator agent at the center directing specialized worker agents, each isolated in its own context bubble

Point a single AI agent at a million-line codebase and watch it slowly lose its mind. It forgets the decision it made twenty steps ago, poisons its own context window with the outp

Build a Claude Code Enterprise Harness

Filed Under: Create Tagged With: Agentic AI, AI Agents, AI Coding Agents, AI Software Development, Claude Code, Claude Code Hooks, Context Engineering, Developer Tools, Enterprise AI, Model Context Protocol, Subagents

A Claude Code enterprise harness assembled from agents, skills, hooks, MCP and permissions

An agent that writes code is a demo. An agent fleet you can trust on a million-line codebase is a harness — and a harness isn’t a feature you turn on. It’s a composition of primiti

The Agentic Development Loop, Explained for Engineers

Filed Under: Learn Tagged With: Agentic AI, Agentic Development Loop, AI Agents, AI Coding Agents, AI Software Development, Claude Code, Context Engineering, Developer Tools, Multi-Agent Systems, Orchestration

The agentic development loop — a closed feedback cycle of gather, act, verify feeding an orchestrator and specialist agents

If you’ve only met AI coding as autocomplete — a model finishing your line before you do — you’ve met the least interesting version of it. The agentic development loop is a differe

Serena MCP: Give AI Coding Agents a Real Memory

Filed Under: Create Tagged With: AI Coding Agents, AI Coding Tools, Claude Code, Context Engineering, Cursor, Developer Tools, GitHub Copilot, Google Antigravity, Language Server Protocol, Model Context Protocol, OpenAI Codex, Serena MCP

Serena MCP giving Claude Code, Codex, Antigravity, Copilot and Cursor a shared codebase memory

You open a fresh chat with your AI coding assistant and, once again, it acts like it has never seen your project. It re-reads the same files, forgets the decision you made an hour

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