Fatih Kadir Akın
Fatih is a passionate software developer from Istanbul, Turkey, currently leading Developer Relations at Teknasyon. He has authored books on JavaScript and prompt engineering for AI tools. With a deep enthusiasm for web technologies and AI-assisted development, he actively contributes to open-source projects and builds innovative things on GitHub. Beyond coding, Fatih enjoys organizing conferences and sharing knowledge through talks. A strong advocate for open-source collaboration, he specializes in JavaScript and Ruby (particularly Ruby on Rails). He also created prompts.chat, a platform for exploring and optimizing AI prompts for LLMs.
Community Contributions
How to improve developers efficiency using AI tools and IDEs.
MCP Elicitations: Standardizing Interactive AI Workflows Through Structured User Input
Explore how the new MCP Elicitations protocol standardizes interactive AI workflows by enabling servers to collect structured user input dynamically, building upon AI-generated UI concepts.
Digialzone AI Exclusive
I was a panelist on "How MCPs changed the AI" panel.
The End of A/B Testing: How AI-Generated UIs Can Revolutionize Frontend Development
Explore how AI-generated user interfaces could make A/B testing obsolete by creating personalized, adaptive UIs for every user in real-time, fundamentally transforming how we approach frontend development.
Generative AI Micro Summit
Generative AI Micro Summit that I speak about with MCP servers.
GitHub Copilot Coding Agent: Transforming Development Teams with Autonomous AI
GitHub's new coding agent takes AI-assisted development to the next level by addressing the human problems of laziness and excuses, fully automating repetitive tasks and enforcing best practices through autonomous coding capabilities.
Transforming Productivity: How AI Fixed the Human Problem in Software Development
After 17 years in the industry, I've seen how AI tools not only make developers faster but also fix the human problems that led to poor code quality, missing documentation, and inconsistent practices.
Beyond Text-Only AI: On-Demand UI Generation for Better Conversational Experiences
Explore how AI-generated user interfaces can enhance human-AI interaction by dynamically creating the right interface components at the right time, addressing key limitations of text-only interactions.