I’m a software engineer exploring the infrastructure behind AI.
Currently diving into:
→ Running LLMs on Kubernetes
→ Tracing AI agents with OpenTelemetry
→ Building reliable, scalable AI systems
Below I’ll share what I build, what breaks, and what I learn along the way.
We should stop the cycle of dopamine-driven, surface level living and embrace challenges that push us out of our comfort zone to learn who we truly are!
Everything you need to master in 2026 to get rich:
• Using Fable 5 for planning, Codex for execution
• Hermes agent
• Coding loops
• Running Codex/Claude Code side by side
• /goal
• Running local models
• Karpathy's Autoresearch
• Building an X audience
• Creating videos
• How machine learning works
• How databases work (been using Convex)
• Using API's
• Training your own LoRAs
• Elimination of doom scrolling
• Most importantly: focus