Ran /doctor in Claude Code. 6,000 tokens gone before I typed anything. Just skill descriptions preloaded into the system prompt. I had ~80 skills. Did the math. Built a fix in a day. Thread on what I shipped 👇
Dariusz Kowalski
@darco81.sdet.it
Context before LLM. Building AI tooling for test automation & developer workflow. → sdet.it 🇵🇱 PL/EN
Mac devs running local models - what's your HF cache size right now? du -sh ~/.cache/huggingface Mine: 92 GB. Most was Qwen3 variants I downloaded "to test", then forgot. Genuinely curious what others are sitting on.
Context before LLM is my brand line. Now there's a tool version: context before tokens, cleaners before swap. sdet-pulse. macOS + Claude Code observability and cleanup. - 22 optimization packs - HF/Docker/Xcode cleaners (mine was 92 GB) - -20% session cost on 65-session A/B pulse-test.sdet.it
Hi 👋 New here. SDET pivoting into AI tooling builder. 🛠 What I'm shipping: - WCAG accessibility toolkit (5 AI specialists, OSS) - jarvis-brain (multi-tenant knowledge vault) - CDAT pattern (4-layer Playwright architecture) Context before LLM. Always. → sdet.it
sdet.it - AI engineer · architect · tooling builder
AI tooling, RAG deployments, QA training. AI agents for multi-tenant systems and test automation. 18 years shipping, AGPL distillates included.
sdet.it