5/ Each pattern is one file in the repo, labelled by section number. Read the post and the code side by side.
Repo: https://t.co/hlPOIs4QPd
Post: https://t.co/LmrZkqo5eG
Reply with what you'd want an MCP server to do for you next.
1/ Built an MCP server this weekend.
The interesting bit isn't the demo — it's the 7 things between a demo and an MCP server you'd hand to a paying user.
Repo (MIT, TypeScript): https://t.co/hlPOIs4QPd
Post: https://t.co/LmrZkqo5eG
4/ Cheapest of the 7 and the one I've gotten most value from: zod-validate every tool call at the server boundary.
Twice now an Anthropic SDK release has shifted something subtle. The schema check caught it before any user-facing call was affected.
"AI agents are unreliable" is the new "AI is hallucinating."
5 reasons agents fail in prod:
1. Tool schema drift
2. Partial state mid-chain
3. Runaway loops
4. Silent retries (10x bill)
5. Output drift on Sonnet updates
Full write-up May 26 → https://t.co/vii4cG7tup
5-min TTL by default. Bursty traffic = hit clusters at peaks, full price in valleys. Model both.
Long-form on production-grade patterns drops Tue May 12.
https://t.co/vii4cG7tup
Working through Anthropic prompt caching this week.
The bit that's not in the docs: get the prefix wrong, you don't break even — you make the bill *worse*.
Services paused 30 days. June relaunch with discounted pilot pricing — proof first, pricing second.
Building in public starts now: https://t.co/vii4cG7tup
I'm an AI Engineer now.
Not "full-stack with AI on the side." That framing was honest 18 months ago. Not anymore.
8+ years engineering depth. 18 months building production AI: Anthropic SDK, MCP, Vercel AI SDK, evals, agents.
Site live today: https://t.co/RsOLEZPsr6
Daily here. Cost math. Anti-hype. Build progress. Real model names (Opus 4.7, Sonnet 4.6, Haiku 4.5), real APIs, real bills.
No "thrilled to announce." No rocket emojis. No "game-changer."
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