AI Can Write Code. How Do We Keep It Clean?
Details
Registration
https://codeartify.ch/en/public-video-sessions/ai-assisted-clean-code
Why AI-assisted development needs clearer engineering standards, not just better prompts or faster code generation.
About the session
Can we simply prompt an agent to “write clean code” and get good results? Or do teams first need to make their standards and quality expectations explicit before AI can work with them?
AI coding tools do not just generate code. They also reflect the patterns already present in the codebase. If these patterns are problematic, AI can reproduce them confidently and make them look consistent.
The result is not automatically better software. It can become software that looks consistent, but becomes harder to change over time.
This session looks at what Clean Code means when AI becomes part of everyday development. It helps teams find clearer language for code quality, language explicit enough that AI can actually work with it.
You probably ask yourself…
- Can we prompt an AI agent to “write clean code” and get consistently good results?
- If AI creates, reviews, and tests most of the code, who still needs Clean Code knowledge: the developer, the agent, or both in different forms?
- How do we help AI learn from the best parts of a codebase, without turning shortcuts, workarounds, and compromises into future templates to follow?
- How do we guide AI to keep simple code simple, while evolving both code and architecture when complexity actually demands it?
What you will take away
- The “magic prompt” nobody told you about for consistently creating Clean Code with AI.
- What changes about Clean Code when AI starts creating, reviewing, and testing most of the code.
- How to define effective guardrails that capture team best practices, help AI avoid repeating shortcuts and compromises, and guide code and architecture as complexity grows.
Who this is for
This session is for software engineers, tech leads, software architects, engineering managers, and teams who are already using AI coding tools or are being asked to introduce them responsibly.
It is especially relevant if your team already uses AI coding tools in a real codebase and wants faster delivery without quietly increasing complexity, inconsistency, or long-term maintenance cost.
Who this is not for
This is not a tool comparison or generic AI productivity demo.
The focus is on code quality, maintainability, evolvability, team standards, AI agent guidance, and responsible adoption in real codebases.
Format
- Thursday, 9 July 2026
- 12:15 to 13:00 CEST
- Online
- 45 minutes practical input incl. Q&A
- Recording available for registered participants
- English