In a recent LinkedIn post, Kobiomenaka discusses a significant frustration many users encounter with AI tools: the constant need to re-explain context. Kobiomenaka highlights how standard AI interactions often reset with each new chat, forcing users to reiterate their identity, preferences, and business details repeatedly. This recurring task, as Kobiomenaka points out, can be a significant drain on productivity and user experience.
Kobiomenaka introduces Claude Code as a solution that tackles this issue head-on by maintaining persistent context. The core of this feature, according to Kobiomenaka, lies in a simple text file named CLAUDE.md. This file allows users to define their rules and preferences in plain English, which the AI then references before every task.
The Power of Persistent Context
The frustration with stateless AI interactions is a common pain point. Kobiomenaka articulates this vividly:
“With most AI tools, every new chat starts from scratch.
It’s infuriating!
You re-explain who you are.
How you like things written.
What your business does.
The same context, every single time. It wears you down.”
Kobiomenaka contrasts this with Claude Code’s approach, emphasizing the efficiency gained by having the AI “just know” the user’s requirements. This persistent memory eliminates the need for constant reminders and repetitions.
Implementing Custom AI Behavior with CLAUDE.md
Kobiomenaka shares a practical example of their own CLAUDE.md file, illustrating the types of instructions that can be set. This personal configuration demonstrates the flexibility and power of the feature.
“Here’s what mine actually says:
↳ No em dashes. Ever.
↳ Call me Kobi. Always British English.
↳ Keep it short. No jargon, no waffle.
↳ We’re an AI-optimised digital marketer.
↳ Check with me before sending anything.
↳ much more!”
As Kobiomenaka notes, this setup ensures that subsequent AI responses align with their specific voice and guidelines from the very first interaction. The benefit, according to Kobiomenaka, is receiving replies that are consistently tailored to their needs without manual re-prompting.
The /init Command and Continuous Learning
Kobiomenaka also highlights the ease of getting started with Claude Code’s context feature. For new users, typing `/init` prompts Claude to generate an initial CLAUDE.md file, which can then be refined. Kobiomenaka advocates for an iterative approach:
“After that, just add a line whenever you catch yourself correcting it twice.
Stop re-explaining yourself. Teach it once.”
This method, Kobiomenaka argues, transforms the AI into a more personalized and efficient assistant over time. The post is presented as part of a series, “Claude Code 101,” aimed at practical, non-coding applications of the tool.
Kobiomenaka concludes by teasing future installments, including a look at innovative applications of Claude Code and a solution for common issues like the AI cutting off responses, which they liken to a “battery, not a bill.” The article serves as a clear exposition of a valuable feature for anyone looking to streamline their AI workflows.
📝 About This Content
This article is based on insights shared by Kobiomenaka on LinkedIn.
📅 Originally posted on June 15, 2026 | View original post on LinkedIn →