bos
Joined 17 years ago
Joined 17 years ago
The core idea is simple: one jj change becomes one GitHub PR, and your local history defines the stack. Reorder, split, squash, or amend locally with ordinary jj commands, run jj-stack submit again, and the existing PRs update in place with their reviews intact. It uses GitHub's native stacked PRs, and handles merging and the local cleanup afterwards.
The heavy lifting was in its safety model. Local jj history and GitHub can each change without the other knowing, and an interrupted submit or network flap can leave part of a stack updated. Someone can squash-merge or rebase your stack from the GitHub UI, which might strip the metadata jj uses to recognise changes. jj-stack checks both sides before it acts, verifies rebased stacks by ancestry and file content, and acts carefully. A large share of the test suite (including an extensive Hypothesis property test suite) exists to exercise these cases.
The first attested use is from 1945, on the nose of a P-47 Thunderbolt flown by Captain Milton Thompson of the 509th Fighter Squadron. And his art was exactly what you'd expect: a charging bull with the words "balls out".
And there are numerous such examples. “That was half true. The kill chain ran. The interceptor did not.”
LLMs produce staccato, ugly chains of sentence stumps like this all the time. They’re easy to spot, and your essay is littered with them.
If anything, spending a week on a project like this seems liable to blind you to the shortcomings of the prose, because after putting in a lot of effort you can’t read it with fresh eyes. That’s what editors are for, but an LLM is by nature very weak at editing LLM-generated text.
I want to be able to offer constructive feedback on the structure of the overall essay, for example that the interspersed animated/interactive models often don’t seem strongly connected to the text, but simply reading the words makes this a grind.
Liberty Utilities has nothing to do with libertarian separatists. It's a brand name of Algonquin Power & Utilities Corp, a boring Canadian infrastructure conglomerate that buys regulated water, gas, and electric systems across North America. They bought this chunk of rural California grid from NV Energy in 2009. That's it.
Codeville also used a weave for storage and merge, a concept that originated with SCCS (and thence into Teamware and BitKeeper).
Codeville predates the introduction of CRDTs by almost a decade, and at least on the face of it the two concepts seem like a natural fit.
It was always kind of difficult to argue that weaves produced unambiguously better merge results (and more limited conflicts) than the more heuristically driven approaches of git, Mercurial, et al, because the edit histories required to produce test cases were difficult (at least for me) to reason about.
I like that Bram hasn’t let go of the problem, and is still trying out new ideas in the space.
> To be kind, we’ve spent several decades twisting hardware to make the FP spherical cow work “faster”, at the expense of exponential growth in memory usage, and, some would argue, at the expense of increased fragility of software.
There is not one iota of support for functional programming in any modern CPU.
If you do, then a quick glance at whether you’re using foldl’ or foldr tells you about what the function is allowed to do, which cuts down a little on comprehension.
List traversals are typically compact enough that there’s not a huge difference either way.
One advantage of using a fold, even in these cases, is that newcomers to Haskell often get so carried away with (and confused by) the power of pattern matching that they’ll write bizarre overly-complicated list traversals by hand, when a simpler mechanism exists that they just haven’t yet internalized.