agentic-development-principles

"AI is the copilot; you are the pilot" AI agents amplify the developer's thinking and take over repetitive work, but final decision-making authority and responsibility always remain with the developer. AI performs much better with small, clear instructions than with large, ambiguous tasks. Context (the AI's working memory) should always be kept fresh and compact . When the conversation gets long, summarize only the essentials and hand them to a new session: Choose an appropriate abstraction level depending on the situation. Analyze without executing; execute only after review/approval When to use: AI directly edits code and runs commands When to use: Write test code Visual review Draft PR / code review Ask for self-verification "To truly master AI tools, you need to use them enough" Learning by using is key - theory alone is not enough; you need to experience different situations in real projects. - When starting a collaboration session with an AI agent - When deciding an approach before starting a complex task - When establishing a context management strategy - When reviewing workflows to improve productivity - When onboarding teammates on how to collaborate with AI - When applying baseline principles while adopting a new AI tool - Old and irrelevant information reduces AI performance - Context drift: mixing multiple topics can reduce performance by up to 39% (research) - Do...