Eric Lippert is a programming language designer; prior work includes the C#, Hack, JavaScript and Bean Machine compilers. Blog at ericlippert.com.
Seattle
Joined January 2011
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I'm heading over to bsky.app/profile/ericlippert…, hope to see you there!
Today on FAIC: putting together a simple pattern matching combinator library in Python. ericlippert.com/2023/03/21/b…
Today on FAIC: Why did I build a combinator-inspired transformation pass in the first place? Because it's fun! Also, other reasons. ehttps://ericlippert.com/2023/02/23/bean-machine-retrospective-part-8/
Today on FAIC: After that brief digression about combinatory logic, we'll start using some of those ideas to solve compiler problems. ericlippert.com/2023/02/08/b…
Today on FAIC: Finishing up my quick introduction to combinatory logic with the starling; next time we'll see how this inspired some of the design for my Bean Machine compiler. ericlippert.com/2023/02/03/t…
Today on FAIC: Can you prove that an egocentric kestrel is lonely? ericlippert.com/2023/02/01/t…
Today on FAIC: a follow-up to my previous post exploring the question "*intuitively*, why can a bird without a fixpoint and a mockingbird not co-exist in a compositional forest?" What's the connection between those three concepts? ericlippert.com/2023/01/30/t…
Today on FAIC: I'm interrupting my series on Bean Machine to talk briefly about combinatory logic; it'll all make sense eventually I'm sure. ericlippert.com/2023/01/17/t…
Today on FAIC: An overview of "simplified Python" ericlippert.com/2023/01/05/b…
Today on FAIC: How does Bean Machine treat a call to random variable function as the abstract notion of "a random variable" instead of a distribution object, or a sample from that distribution? By using one simple trick!
ericlippert.com/2022/12/20/b…
Today on FAIC: A brief digression to discuss toasters, network configuration and Alexa -- and to congratulate some former colleagues. ericlippert.com/2022/12/14/i…
Today on FAIC: three years ago I was given the challenge of extracting a Bayesian network from a Bean Machine model written in Python. ericlippert.com/2022/12/07/b…
Today on FAIC: introducing Bean Machine Graph, which trades a "mechanism domain" API and a restricted set of data shapes and operators for improved inference performance over Bean Machine proper.
ericlippert.com/2022/12/05/b…
Today on FAIC: A quick recap of the Bean Machine probabilistic programming language. Next week we'll start looking at the compiler. ericlippert.com/2022/12/02/b…
I was briefly on loan to JMW's team a few years ago; happy to see that this work is getting much deserved recognition. It is an interesting and hard problem to solve at FB scale!
One of the teams I support at Meta is focused on improving the experience of using SQL at Meta. We've just published a blog post about some of our work: engineering.fb.com/2022/11/3…
Today on FAIC: some thoughts on my last day at Meta; I'm starting a series describing my last couple years of work. ericlippert.com/2022/11/30/a…
I know it's a tough market out there but if anyone has leads on positions for smart data scientists with some compiler experience who solve hard problems at scale, please do reply here; thanks!
My team at Meta -- which lowers costs and improves decision making of other teams -- has been disbanded as a cost cutting measure, part of the 11K employees laid off yesterday.
I'm fine, and not looking for work right now. I am however very concerned for my team.
When I'm walking on a slippery dock holding my keys I never tell myself (or others) "don't drop your keys". I always tell myself "hold on to your keys". Visualize the desired outcome, not the unwanted outcome!