Learning
12 articles about learning.
Building a Learning System for AI Agents That Remembers Across Repos
Why AI agents keep making the same mistakes and how an immune system-style memory layer helps them learn from repetition across multiple repositories.
AWS Certification That Changed Architecture
Certifications teach what a platform can do. Building teaches what it should do. Both matter for AI agent infrastructure decisions.
The Certification Path Nobody Talks About - Production Debugging Teaches More
Certifications exist for HR filters, not competence. Production debugging, incident response, and on-call rotations teach more than any exam ever will.
Where to Start with AI Tools in 2026 - Skip the Courses, Build Something
The best way to learn AI agents in 2026 is to skip the courses and build something real. MCP, Claude Code, and desktop agents click when you use them.
Drowning in AI? Start with a CLAUDE.md File
The biggest thing that helped me learn AI coding tools was treating the AI like a junior dev I am managing. Start with a CLAUDE.md file and build from there.
How a Conversation-Based Skills System Makes Desktop Agents Actually Learn
A skills system built through conversation turns a desktop agent into a learning system. Here is how skill acquisition works in practice, with concrete examples of what persists and why.
What Humans Learn from AI and Vice Versa
AI learns guardrails and judgment from humans. Humans learn consistency and speed from AI. The best teams treat this as a bidirectional learning relationship.
An AI Assistant That Actually Learns How You Work Over Time
Most AI assistants reset every session. A persistent knowledge graph that indexes contacts, habits, and app usage anticipates your needs after two weeks.
Learning Path for Local LLMs - From Ollama to Desktop Agents
A practical learning path for running local LLMs: start with Ollama basics, learn prompting, understand quantization, build workflows, then automate your
Skip the AI Books and Just Build Something
The best way to learn AI agents is to build one. Reading about agent architecture for a month when you could have built 3 agents in that time is a trap.
Skill Templates vs Agents That Learn - Two Approaches to Desktop AI
Skill templates give structure for common tasks. But agents that learn your habits over time build their own understanding of how you work.
Traces of Successful Workflows Are the Most Valuable Context for AI Agents
Why feeding your AI agent real workflow traces produces better results than documentation alone, and how to capture them.