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I talk a lot on my podcast and in my newsletter about the correlation between success and an obsession with velocity. So Iโve been on the hunt for a framework that actually helps you measure and increase your team's velocity. Iโve finally found it.
I'm excited to introduce you to Core 4: a unified developer productivity... See more
Accelerate: The Science of Lean Software and DevOps: Building and Scaling High Performing Technology Organizations
Nicole Forsgren PhD โข 5 highlights
amazon.com
My TS/AI stack
@aisdk
to avoid LLM vendor-lock in
to build frontends with awesome UX
Evalite/Braintrust
for running evals
(make your agents better, using data)
Langfuse
for observability
... See more
Matt Pocockx.com
๐๐ฅ๐๐ ๐-๐๐ข๐ข๐: ๐ฆ๐ผ๐ณ๐๐๐ฎ๐ฟ๐ฒ ๐๐ป๐ด๐ถ๐ป๐ฒ๐ฒ๐ฟ๐ถ๐ป๐ด ๐ฎ๐ ๐๐ผ๐ผ๐ด๐น๐ฒ
The Software Engineering at Google book is not about programming, per se, but about the engineering practices utilized at Google to make their codebase sustainable and healthy.
What you can learn from this book:_... See more

Metaโs LLM for software testing work is super exciting.
This paper describes Metaโs TestGen-LLM tool, which uses LLMs to automatically improve existing human-written tests. TestGen-LLM verifies that its generated test classes successfully clear a set of filters that assure measurable improvement over the original test ... See more

Iโm at Stanford and I research software engineering productivity.
We have data on the performance of >50k engineers from 100s of companies.
Inspired by @deedydas, our research shows:
~9.5% of software engineers do virtually nothing: Ghost Engineers (0.1x-ers)

What I talked about at Stripe Sessions:
Craft and Quality, and professional grade software at @linear
Extract the tools & technologies a company is using from their career page.
Using @LangChainAI and @veryboldbagelโs Kor, I was easily able to scale this to 1.5K tech companies (20K openings parsed) https://t.co/7hY1YaQLvb
Greg Kamradtx.com