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Working notes on building with LLMs — patterns, harnesses, evals, the parts nobody puts in the demo. Written primarily for future-me opening a fresh chat. You’re welcome to read along.

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01agentic-ai3 min

647 words

may 25, 2026·3 min

Write Your Blog for the Agent That Will Cite It

Most of my blog's readers are no longer human — they're agents scraping, summarizing, and citing it. Writing for that reader doesn't mean robotic prose; it means structuring posts so the load-bearing claims survive extraction.

#agentic-ai#writing#content-strategy

MCP Is the Real Unlock for Agentic Engineering

After a year of building agents at Axonify, the thing that actually changed how my team ships isn't a smarter model — it's the Model Context Protocol. Here's why.

#mcp#agentic-ai#tooling

Stop Prompt Engineering. Start Context Engineering.

Prompt engineering was a useful crutch when models were small and dumb. With Claude Opus 4.7 and a million-token window, the real lever is what you put in the context, not how you phrase it.

#llms#prompting#context

Shipping With Agents, Not Instead of Them

The 'AI replaces developers' framing is bad for both your career and your codebase. After two years of agent-assisted shipping at Axonify, here's what actually works.

#agentic-ai#developer-experience#axonify

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