Technologist · Builder · Pilot
Daniel
Keller
25+ years building tech products. Currently exploring GenAI-native development, longevity optimization, and flying across Europe in a Cirrus SR22T.
Product × AI
Agentic development patterns, side projects like SortFlex and Longevity OS, and notes from the frontier of AI-native product building - plus 25 years of lessons from shipping and scaling tech companies.
Leadership
Lessons from 25+ years of tech leadership - strategy, org design, execution, and the principles that drive high-performing teams across four exits.
Longevity
Optimizing health span through six pillars - sleep, exercise, nutrition, mental health, biohacking, and risk avoidance.
Flying
A decade of private flying - EASA & FAA PPL, Instrument Rating, cockpit GoPro footage, and adventures across Europe in a Cirrus SR22T based out of Schönhagen.
25+
Years in Tech
4
Exits
$1.6B+
Exit Value
10+
Years Flying
IR
Instrument Rated
Latest Updates
Forward-Deployed Engineering Just Became Enterprise Table Stakes
What was a Palantir niche in 2024 is now the dominant enterprise AI go-to-market. The AI Engineer World's Fair proved FDEs are a structural shift, not a trend.
Read moreCognitive Debt - The Hidden Cost of Letting Agents Do All the Building
As AI agents write more code than ever, the real risk isn't quality - it's losing the deep understanding that lets you make creative architectural decisions. Countermeasures from AI Engineer World's Fair 2026.
Read moreThe 8-Person Scrum Team Is Dying - AI Pods Are What Comes Next
Why the org redesign is the multiplier that separates 1.2x from 3x+ productivity. A practical guide from AI Engineer World's Fair 2026.
Read moreThe Harness Beats the Model - Skills, MCP, and the Agentic Stack That Actually Matters
After AI Engineer World's Fair 2026, the message is clear - stop chasing models and invest in the harness. The agentic stack is converging around skills governance and knowledge engineering, not which foundation model you run.
Read moreVerification Is the New Bottleneck - Not Generation
Generation is solved. The real engineering challenge is now verification - building layered quality gates that let AI-generated code ship to production with confidence.
Read moreSoftware Factories Are No Longer a Metaphor
At AI Engineer World's Fair 2026, the defining idea was clear - software engineering is becoming factory engineering. Here's what that means for teams shipping real products today.
Read more