Tag: Claude Code
All the articles with the tag "Claude Code".
-
AI Agent Persistent Memory Architectures Compared: File-Based vs Vector Retrieval, Benchmarked with a blog-preflight Subagent
I hooked the same Subagent up to both Claude Code's built-in file-based memory and mem0's vector retrieval, then compared token cost, recall quality, and cross-session learning. The result: concrete thresholds for which approach fits which data scale, plus a look at procedural memory—the weakest but most promising direction.
-
Claude Code's Five-Layer Architecture Explained: How MCP, Skills, Agent, Subagents, and Agent Teams Work Together
Anthropic officially describes Claude Code as a five-layer architecture: MCP for connectivity, Skills for task knowledge, Agent as the main worker, Subagents for parallel isolation, and Agent Teams for coordination. This post breaks down each layer's role and collaboration patterns, with a real-world example from my blog's blog-preflight Skill showing three layers working together.
-
Frontman Deep Dive: What an AI Agent Can Do When It Sees Your Code from the Browser, Paired with Frontend Skills
Cursor and Claude Code both start from source code, but a frontend engineer's real work happens in the browser—the actual color on hover, the real DOM after SSR, the re-render triggered by the third useState. Frontman works in the opposite direction: from the browser back to the code. This post breaks down its architecture and combines it with Anthropic's frontend-design Skill and others into a complete frontend AI workflow.
-
Claude Code Skills in Practice: Building a Reusable Cross-Project Skill from Scratch
Pull your repetitive playbooks, checklists, and multi-step workflows out of CLAUDE.md and turn them into Skills. Using a "pre-publish blog check" as the running example, this post covers the SKILL.md structure, every frontmatter field, context fork isolation, the boundaries with Slash Commands and Sub Agents, plus debugging and sharing.
-
The 2026 AI Coding Tools Scorecard: An Honest Review of Claude Code, Cursor, Copilot, Windsurf, and Gemini CLI
An in-depth comparison of the leading AI coding tools in 2026: Claude Code, Cursor, GitHub Copilot, Windsurf, Trae, Cline, Gemini CLI, and Aider — covering real-world data, current pricing, and use cases to help developers pick the right tool.
-
One CLAUDE.md File, 44K Stars in a Week: Karpathy's Four Principles for AI Coding
A breakdown of how the forrestchang/andrej-karpathy-skills repo gained 44K stars in a single week: Karpathy's four principles for AI coding (think before coding, simplicity first, surgical changes, goal-driven execution), and how to use them directly in Claude Code.
-
Two Claude Code Environment Variables You've Probably Never Used: EFFORT_LEVEL and ADDITIONAL_DIRECTORIES_CLAUDE_MD
A deep dive into two underrated Claude Code environment variables: CLAUDE_CODE_EFFORT_LEVEL controls the reasoning effort tier, and CLAUDE_CODE_ADDITIONAL_DIRECTORIES_CLAUDE_MD enables sharing rules across projects — with complete configuration examples and use cases.
-
A Deep Dive into Claude Code Hooks: Making the AI Coding Tool Truly Fit Your Workflow
Claude Code Hooks might be the most underrated AI coding feature out there. This post starts with how the three hook types fire, then walks through 10+ real configurations from my blog agent, tooling site, and daily work to show how Hooks can make Claude Code truly part of your workflow.