All hubs
AI & Agents
Building with large language models, autonomous agents, MCP integrations, and the shift from prompt hacking to systems engineering.
AI AgentsMCPPrompt EngineeringAI ArchitectureAI Coding ToolsAgentic CodingLLM AgentsAI Development
Articles
- How I Build Products Alone with AI: From Idea to Launch10min
- How to Trust AI-Generated Code: 8 Verification Rules for Solo Builders9min
- PMP Pass Review Part 2: Time Management on Exam Day and Final Tips for Passing11min
- PMP Pass Review Part 1: 7-Week Preparation and Journey from 60s in Study Hall to PASS11min
- Beyond Copilots: Why AI Agents Changed My Daily Workflow8min
- Speed in the AI Era: How I Built Three Products in Weeks10min
- Claude Code vs Cursor: A Builder's Deep Dive9min
- Why Every PM Should Learn AI Automation9min
- The End of Prompt Engineering?9min
- MCP Will Become the USB-C of AI Applications10min
Projects
Glossary
- AI Agent
An autonomous software entity that perceives its environment through sensors, makes decisions, and executes actions using tools.
- MCP
Model Context Protocol: An open standard created by Anthropic that enables secure integrations between LLMs and external data sources or tools.
- Prompt Engineering
The practice of structuring, refining, and optimizing textual inputs to instruct generative AI models to produce desired outputs.
- RAG
Retrieval-Augmented Generation: A technique to improve LLM accuracy by retrieving relevant documents from an external source before generating a response.