Developers
How to use AI to write code, debug, review pull requests, refactor, and build AI apps from scratch — with sample prompts and real case studies.
Index
13- 02Developers
AGENTS.md: A Complete Guide and Best Practices for Developers
Evaluate the empirical performance of AGENTS.md context files, including the 20% cost increase and best practices for guiding repository-level agents.
Read article - 03Developers
What CLAUDE.md Is and How to Write an Effective CLAUDE.md File
Configure CLAUDE.md to eliminate AI amnesia. This guide covers context engineering, file hierarchy, and behavioral rules for efficient Claude Code sessions.
Read article - 04Developers
What Is Agentic Engineering? A Guide for Engineers
Agentic engineering is a disciplined practice where AI agents handle implementation while humans oversee architecture and validation to ensure reliability.
Read article - 05Developers
Context Engineering vs Prompt Engineering
Master context engineering vs prompt engineering to build resilient AI agents using RAG, memory management, and advanced orchestrator architectures.
Read article - 06Developers
Everything you need to know about prompt engineering
The core techniques and developer workflows of prompt engineering: build reliable AI systems, debug code faster, and scaffold new features.
Read article - 07Developers
Dynamic Workflows, Sub-agents, or Agent Teams: Which to Use
Compare dynamic workflows, sub-agents, and agent teams in Claude Code. Optimize for token efficiency and scale using this technical decision framework.
Read article - 08Developers
Mastering Claude Agent Teams
Learn how to orchestrate Claude agent teams to scale development with parallel subagents, a shared task list, and direct inter-agent communication.
Read article - 09Developers
Mastering Subagents in Claude Code
Use subagents in Claude Code to isolate context and run work in parallel, so the main thread keeps its reasoning quality as a task grows.
Read article - 10Developers
A Guide to Context Engineering
Context engineering is the systems discipline for managing an LLM's information state to prevent context rot and "Lost in the Middle" performance drops.
Read article - 11Developers
Mastering Vibe Coding: Best Practices
Learn the engineering rigor behind vibe coding: planning, context management, and code review for production-grade AI software development.
Read article - 12Developers
Software Engineer in the Age of AI
The role of a software engineer in the age of AI is shifting from writing syntax to designing robust architectures and managing complex system failures.
Read article - 13Developers
What is vibe coding? Building apps with AI and systems thinking
Vibe coding lets creators use natural language and agentic AI to orchestrate, refine, and deploy production-grade software — fast, but with real trade-offs.
Read article - 14Developers
The Evolution of Vibe Coding: From Trend to Discipline
Vibe coding raced from viral prototype trick to production liability, and teams are now shifting to agentic engineering where humans own the architecture.
Read article