Weekly writing on AI tools, software engineering, and building products. Written from first-hand experience — not tutorials rehashed from the docs.
Learn how to cut AI token usage by 40–70% without losing output quality. Covers system prompts, XML tags, model selection, caching, and workflow hygiene.
Why HTML is a better output format than Markdown when you use AI to understand code, visualize systems, and communicate complex ideas. With real Claude Code examples.
Why spec-driven development is the antidote to AI-generated technical debt. Learn the 3 levels of SDD rigor and how to write specs that AI coding agents can actually execute.
Why loop engineering is replacing one-shot prompting. Learn the four components of a reliable AI loop and examples you can use today.
Cut LLM token costs 50–80% without losing quality. Learn prompt hygiene, structured outputs, context compression, model routing, and caching strategies that work in production.
Why RAG never learns and how Karpathy’s LLM Wiki pattern builds a compounding knowledge base. Includes the 3-layer architecture and workflows for ingest, query, and lint.
The most popular Claude skills in 2026 from skills.sh — ranked by installs and usage. Learn which skills improve frontend, backend, and agentic workflows.
The easiest content pillar is documenting your journey of learning a new skill. Gary Vee's 'Document, Don't Create' philosophy works for engineers and creators who want to build a personal brand without faking expertise.
A systematic 12-step job hunt plan for software engineers — covering resume setup, LinkedIn optimization, cold outreach, AI interview prep, and weekly tracking routines.
The 2026 job market rewards strategy, not volume. Here's the exact playbook — referrals, cold emails, AI-tailored resumes, and cold DMs — ranked by actual conversion rate.
Lessons from leaving a senior SWE role at Google to build SaaS products independently — the technical, financial, and mental shifts no one talks about.
From Lovable AI to Bolt to Cursor — a senior engineer's honest breakdown of which AI coding tools save time and which ones create tech debt.
A hands-on guide to LangChain from a software engineer's perspective — covering chains, agents, and real integration patterns you can ship today.
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