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Thoughts on data engineering, GenAI, distributed systems, and software architecture.
Everyone talks about RAG like it's magic. It's not. It's plumbing. Here's the practical guide to embeddings, vector databases, and retrieval that actually works in production.
After years of juggling pip, venv, pyenv, and pipx, UV consolidates everything into one tool that's 10-100x faster. Here's the complete cheat sheet.
The tools I use daily are 10-100x faster than what I used two years ago. Here's what changed and why.
Everyone's chasing flashy demos while missing the fundamentals. Here's what actually matters: treating your docs like infrastructure, making them machine-readable, and thinking out loud instead of typing compressed garbage
GitHub stars don't ship features. WXT has emerged as the clear choice for browser extensions in 2026 while Plasmo's 8-month release gap signals real risk
Your team wants Redis. Your database needs indices. We got 97% faster with EXPLAIN ANALYZE instead of architectural rewrites.
After years of using default terminal tools, I rebuilt my workflow with modern alternatives. The result? 100x faster file searches, 80% fewer keystrokes, and workflows that don't require a mouse. Here's what actually matters.
I discovered a game-changing approach to building features with Claude Code: interview first, spec second, code last. Here's how slowing down actually speeds things up.
After 1.5 years with Cursor, Claude Code pulled me into its ecosystem. Here are the underrated features, keyboard shortcuts, and workflow patterns that made the difference.
The most powerful AI isn't a single genius brain-it's teams of specialists arguing, reviewing their own work, and signing contracts. Here's how modern agentic systems actually work.
Real engineering lessons from building Path AI at Layerpath - tackling sub-second latency, semantic drift in prompts, and why telling an LLM what NOT to do often backfires.
Lessons learned from debugging K8s CrashLoopBackOff of self-hosted Langfuse
I was browsing the internet, looking at SaaS boilerplates. You know, those starter templates that promise to save you months of work.
Voice AI isn't text-to-speech bolted onto a chatbot. The 300ms latency rule, real-time orchestration, and streaming architectures create fundamentally different engineering challenges.