Kirill Mokevnin
Kirill Mokevnin is an individual software developer, educator, speaker, and content creator—not an organization. His work focuses on web/software engineering, teaching developers, and building engineering culture through Hexlet-related education and the Organized Programming channel, podcast, Telegram community, and YouTube content.
At a Glance
- Aspiring and junior software developers
- Practicing and experienced engineers
- Engineering managers, team leads, and technology organizations
- Developers and teams adopting AI coding agents
- +1 more
AI Tools by Kirill Mokevnin
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Agentic Coding Design Patterns
Open Source Agentic Coding Patterns
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Latest News
Agentic Coding Design Patterns repository published a documentation update syncing the English and Spanish editions with simplified Russian content.
The Agentic Coding Design Patterns contribution guide was updated with guidance for extending patterns, tools, translations, and reader-facing candidates.
Organized Programming published a live-coding video about planning a new feature for searching file contents.
Initial bootstrap of the Agentic Design Patterns book/repository under a CC BY-SA 4.0 license for text and diagrams, with code examples under CC0.
Products & Services
A personal content brand spanning Telegram, YouTube, podcast platforms, VK, articles, courses, conference talks, and webinars about engineering culture and software-development practice. Source: https://mokevnin.github.io/
An open-source, multilingual book/catalog in the spirit of the Gang of Four, documenting recurring patterns for setting tasks, providing context, verifying results, organizing projects, and avoiding common mistakes when working with AI coding agents. The repository uses Markdown and Honkit and publishes an online edition. Sources: https://github.com/mokevnin/agentic-coding-design-patterns and https://mokevnin.github.io/agentic-coding-design-patterns/en/
Personal GitHub projects include dotfiles and 1mail, described on his GitHub profile as an automation marketing platform, alongside the agentic-coding-design-patterns repository. Source: https://github.com/mokevnin
Market Position
An independent developer-educator and technical creator positioned around engineering fundamentals, practical software-development culture, and increasingly AI-assisted development. His Agentic Design Patterns project differentiates through a developer-workflow focus—how a human works with a coding agent—rather than general autonomous-agent architecture; adjacent alternatives include conventional online programming schools, conference educators, developer YouTube channels, and generic AI-coding guides.
Leadership
Executive Team
Kirill Mokevnin
Software developer, educator, content creator, and co-founder of Hexlet; CPO at Hexlet
In commercial development since 2007; worked at Undev and Qik (acquired by Skype), led Undev's Ulyanovsk branch, later worked as a consultant and VP of Engineering, and has been focused on Hexlet since 2014. Sources: https://mokevnin.github.io/, https://hexlet.io/pages/about, https://holyjs.ru/en/archive/2024%20Spring/persons/1ac5d28054cb4c6f8e59cfe884c28473/
Founding Story
Mokevnin's career began in commercial software development in 2007. After working in web development, Undev, Qik (later acquired by Skype), and running an outsourcing effort, he moved toward organizing developer teams and teaching; his official biography says he switched fully to Hexlet from 2014. In parallel, he built Organized Programming as a public channel for writing, courses, conference talks, podcasts, and practical engineering education.
Target Markets
- Aspiring and junior software developers
- Practicing and experienced engineers
- Engineering managers, team leads, and technology organizations
- Developers and teams adopting AI coding agents
- Russian-speaking and international developer communities
- Learning software engineering and web development
- Helping junior and experienced developers build practical skills and engineering judgment
- Improving engineering culture, team organization, hiring, and developer growth
- Using AI coding agents more effectively through repeatable workflows and verification practices
- Following technical discussions through podcasts, YouTube, Telegram, articles, and conference talks