News: Compound engineering workflows
And Anthropic trialing audits as a service for smart contract vulnerabilities
Opinion
Essay: The 2 problems of online consumption of AI generated content at scale: Signal erosion and verification difficulty. AND what you can do to counter them.
Vertical AI is where it’s at: The next big wins are in narrow domains where data, workflows and evals are all specific and painful.
Intro to LLMs: Karpathy’s talk still the best starting point. Here is a useful summary.
“Thought does not require language. Language is an expression of thought. Intelligence requires thought more than language” - Yann Le Cunn
Productivity
Compound engineering plug-in by Kieran Klaasen. With each feature you build, the plug-in: #Engineering
Documents patterns for the next feature
Creates reusable components that accelerate future work
Establishes conventions that reduce decision fatigue
Codifies knowledge that compounds across the team
try out Claude Code’s frontend-design-skill to build UI without the purple gradients :D #FrontEnd
n8n’s team built a Figma plugin that reads CSS tokens from Git and updates Figma variables in one click. No third party token tool, just their own automation #Design
BugBot from Cursor is a low effort way to auto review PRs. Similar to Charlie and Codex review automations.
Novel use cases
Clawdbot on X: Personal productivity bot by steipete. Powered by his duct-taped build of Warelay -- a CLI for sending/receiving WhatsApp via Twilio or WhatsApp Web.
LLM audits as a service: Anthropic testing smart contract vulnerabilities - preliminary showing $4.6M in funds at risk with a PoC.
Evals
Deep dive on LLM evals in The Pragmatic Engineer.
Stop what you’re doing right now and read this!p.s. I took the Maven course by Hamel and Shreya and cant recommend it highly enough!