AI & LLMs

The fastest-moving domain in the brain. Curated concepts, patterns, and tools at the intersection of artificial intelligence and software engineering.

Claude Code

Page	Description
Overview	Anthropic’s agentic CLI tool for repository-level engineering
Plan Mode	Structured planning before execution — reduces errors on complex refactors
Custom Slash Commands	Extending Claude Code with domain-specific workflows
Skills	Reusable prompt templates and skill definitions
SubAgents	Isolated child agents for bounded task execution
Custom Subagent Patterns	File format, frontmatter reference, and canonical pattern library

Workflows & Patterns

Page	Description
Agentic Workflows	Iterative, tool-augmented reasoning and multi-agent coordination
AI-Assisted Workflows	Autonomous AI assistant, Context7, and Tavily knowledge stack
Spec-Driven Development	Using specifications to drive agentic implementation
Vibe Coding	Rapid, intuitive AI-assisted development philosophy

SDLC

Page	Description
Agent-Native SDLC	The “Software Factory” pattern and upstream context engineering
AI-Augmented SDLC	Evolution of DevOps where agents participate in the full lifecycle
Agentic DevOps	Agents in CI/CD, incident response, and infrastructure management

Infrastructure

Page	Description
MCP	Model Context Protocol — standards for AI-to-tool communication
Top 10 MCP Servers	Curated production-ready MCP server integrations
RAG	Retrieval-Augmented Generation architectures
Agent Memory Systems	Short-term, long-term, and episodic memory architectures
Context Engineering	Versioning and testing of agentic prompts and data
Fabric Framework	Modular human-augmentation framework using Patterns and Stitches
Minimalist Agent Design	The “pi” philosophy of transparency and tool minimalism

Observability & Research

Page	Description
LLM Observability	Monitoring token usage, latency, and context integrity
GPT-5.5 vs Claude 4.7	Technical benchmark on Cloudflare Workers optimization
DPO Insights	Direct Preference Optimization research findings

Career

Page	Description
AI Career Transition	Core differences from traditional programming and auxiliary paths

---

Tags: ai llm claude agentic devops workflows infrastructure observability