An AI native company where 100% of employees do vibe coding and earn hundreds of millions of won
Date
Jan 7, 2026
Classification
- AI/IT/Productivity
Josh's Newsletter / Solopreneur, CEO
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Productivity Increases with Compound Interest? 'Compounding Engineering'
#SoloDevelopment #WorkProductivity #VibeCoding #AINative
🫑 3-Line Summary
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This is the case of 'Every', which has 15 employees operating 4 apps and 6 business units and has recorded double-digit growth every month for the past 6 months.
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They delegated 99% of the coding to AI agents (Claude Code, Cursor, etc.), creating a structure where a single developer takes full responsibility for an app.
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It is emphasized that the difference between an AI adoption rate of 90% and 100% is not merely a 10% difference, but creates a qualitative difference of more than tenfold in work methods and productivity.
🥦 Insight
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The difference between 90% and 100% is not 'speed' but 'dimension'.
If even 10% of an organization codes using traditional methods, the remaining 90% must keep up with that pace. However, if all members use AI agents, the way code reviews and documentation are conducted changes completely. Since the agent reads and explains the code, onboarding is instantaneous, and a 'complete digital transformation' becomes possible where collaboration is seamless even with different technology stacks.
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One developer takes full responsibility for a single 'product'.
In the past, it was impossible to fix bugs and develop new features simultaneously. However, now you can open multiple windows and have AI agents perform different tasks (bug fixing, feature development, testing) in parallel. Thanks to this, a single developer can operate complex apps like Kora and Spiral from start to finish by themselves.
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Engineering also works with 'compound interest'. (Compounding Engineering)
Every runs a loop called 'Plan-Delegate-Evaluate-Codify.' The most important step is the final 'Codify' stage. It saves the tacit knowledge gained while fixing bugs or implementing features as prompts. This way, when performing similar tasks in the future, the AI starts with that know-how already in mind. It is like enjoying the 'compounding effect,' where development speed accelerates as knowledge accumulates.
🥄 A spoonful of execution
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Do you record the process of solving recurring problems in your work as a 'prompt'? Select one task you completed today and convert it into a detailed instruction (System Prompt) to save it so that AI can automate it 100% next time.
—— View Original ——
There is a company with 15 people that operates 4 apps and writes 100% of the code using AI.
This is the story of a company called Every. 7,000 paid subscribers, 100,000 free subscribers, and double-digit monthly growth for the past six months. The total investment is just $1 million.
100% AI-Native Companies are emerging. Founder Dan Shipper calls his company "A Report from the Future." He states that there is a productivity difference of more than tenfold between organizations that adopt AI 90% and those that adopt it 100%. He says the quality is completely different.
I have summarized the content he shared at the AI Engineer Conference in an interview format.
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