Artificial Intelligence
Clear AI foundations for engineers — enough depth for interviews, light enough for a focused read.
Agent Memory: How AI Agents Remember Without Losing the Plot
Learn what an agent should keep for this task, a future session, a user profile, or an audit—and what it should forget.
Understand agent memory Core AI termTool Calling: How AI Models Safely Use APIs and Data
See how a model requests an API operation—and why validation, permissions, retries, and approval stay in trusted code.
Learn tool calling Core AI termAgent Architectures: How to Design Reliable AI Agents
Learn when a workflow is enough, when one agent helps, and when routing or multiple agents are worth the cost.
Understand agent design Core AI termModel Context Protocol (MCP): A Practical Guide
Understand how AI applications connect to external data and tools—with clear boundaries for permissions and safety.
Learn MCP 2-week roadmapAI for Senior Software Engineers: A Practical 2-Week Learning Roadmap
AI fluency for senior backend engineers: LLMs, RAG, tools, eval, inference — not ML research.
Start the roadmap FoundationsAI Fundamentals: A Practical Guide for Engineers and Interviews
Learn AI progressively—from machine learning and neural networks to transformers, LLMs, RAG, evaluation, and production systems.
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