Agentic Coding
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← Zur aktuellen AusgabeAgentic coding gets its clearest definition yet—and why it matters for your workflow
Agentic vs Vibe Coding
The terminology finally has a clean split.
Agentic coding means your AI handles multi-step workflows—planning, writing, testing, debugging—while you stay in control through review cycles [Source: Kimi]. Vibe coding generates software fast from natural language but trades away that control. The key difference: agentic coding is goal-driven with continuous feedback, making it suited for complex features and production work. Vibe coding works for quick prototypes where precision matters less.
Worth knowing which mode you're actually in before you ship.
Natural Language Task Assignment
You describe the goal, the agent figures out the steps.
The agentic pattern now lets you assign coding goals in plain English while the AI analyzes your codebase, breaks down requirements, generates code across multiple files, runs commands, and tests changes iteratively [Source: Kimi]. This builds on the orchestrator-workers-synthesis pattern from yesterday—you're the orchestrator, but now the workers understand context across your entire project.
The setup investment pays off in every session after.
Developer Focus Shift
Your job title just changed—whether your company knows it or not.
The consistent theme across agentic tools: developers stop implementing and start directing [Source: Kimi]. Architecture decisions, system design, and quality oversight become your core work. Repetitive coding, bug chasing, and boilerplate generation move to the agent. The validation loop—you review, refine, approve—keeps you in control without keeping you in the weeds.
The skills and AGENTS.md patterns you've been building are the infrastructure for this shift.