Welcome to Comprehensive Rust 🦀 This is a free Rust course developed by the Android team at Google. The course covers the full spectrum of Rust, from basic syntax to advanced topics like generics and error handling. The latest version of the course can be found at https://google.github.io/comprehensive-rust/. If you are reading somewhere else, please check there for updates. The course is availab
Don't write clean code, write CRISP code — Bitfield Consulting
I’m sure we’re all in favour of “clean code”, but it’s one of those motherhood-and-apple-pie things that no one can reasonably disagree with. Who wants to write dirty code, unless maybe it’s for a porn site? The problem, of course, is that few of us can agree on what “clean code” means, and how to get there. A rule like “methods should only do one thing”, looks great on a T-shirt, but it’s not so
Programming is an iterative process - as much as we would like to come up with the perfect solution from the start, it rarely works that way. Good programs often start as quick prototypes. The bad ones stay prototypes, but the best ones evolve into production code. Whether you’re writing games, CLI tools, or designing library APIs, prototyping helps tremendously in finding the best approach before
Heya. Sorry for not writing for so long. I’ll make up for it with 3000 pages here. I’m just hopping right now. That’s kinda the only way to get me to blog anymore. I’ve rewritten this post so many times. It’s about AI. But AI is changing so fast that the post is out of date within a few days. So screw it. I’m busting this version out in one sitting. (Spoiler alert: There’s some Sourcegraph stuff a
Introduction Before explaining why I created Oil, let's review what it is. You can think of a Unix shell in two ways: As a text-based user interface. You communicate with the operating system by typing commands. As a language. It has variables, functions, and loops. Shell programs are text files that start with #!/bin/sh. In this document, we'll think of Unix shells as languages. The Oil project a
Solving Quantitative Reasoning Problems With Language Models
Solving Quantitative Reasoning Problems with Language Models Aitor Lewkowycz∗, Anders Andreassen†, David Dohan†, Ethan Dyer†, Henryk Michalewski†, Vinay Ramasesh†, Ambrose Slone, Cem Anil, Imanol Schlag, Theo Gutman-Solo, Yuhuai Wu, Behnam Neyshabur∗, Guy Gur-Ari∗, and Vedant Misra∗ Google Research Abstract Language models have achieved remarkable performance on a wide range of tasks that require
The Andrej Karpathy episode. Andrej explains why reinforcement learning is terrible (but everything else is much worse), why model collapse prevents LLMs from learning the way humans do, why AGI will just blend into the previous ~2.5 centuries of 2% GDP growth, why self driving took so long to crack, and what he sees as the future of education. Watch on YouTube; listen on Apple Podcasts or Spotify
prompts.chat
Welcome to the “Awesome ChatGPT Prompts” repository! While this collection was originally created for ChatGPT, these prompts work great with other AI models like Claude, Gemini, Hugging Face Chat, Llama, Mistral, and more. ChatGPT is a web interface created by OpenAI that provides access to their GPT (Generative Pre-trained Transformer) language models. The underlying models, like GPT-4o and GPT-o
Exactly ten years ago today, we published "Why We Created Julia", introducing the Julia project to the world. At this point, we have moved well past the ambitious goals set out in the original blog post. Julia is now used by hundreds of thousands of people. It is taught at hundreds of universities and entire companies are being formed that build their software stacks on Julia. From personalized me
I recently spoke to a developer who tried blogging but gave up because nobody was reading his posts. I checked out his blog, and it was immediately obvious why he didn’t have any readers. The developer had interesting insights, but he made so many mistakes in presenting his ideas that he was driving everyone away. The tragedy was that these errors were easy to fix. Once you learn to recognize them
Technology Trends for 2024
This has been a strange year. While we like to talk about how fast technology moves, internet time, and all that, in reality the last major new idea in software architecture was microservices, which dates to roughly 2015. Before that, cloud computing itself took off in roughly 2010 (AWS was founded in 2006); and Agile goes back to 2000 (the Agile Manifesto dates back to 2001, Extreme Programming t
Plan 9 Desktop Guide
PLAN 9 DESKTOP GUIDE INDEX What is Plan 9? Limitations and Workarounds Connecting to Other Systems VNC RDP SSH 9P Other methods Porting Applications Emulating other Operating Systems Virtualizing other Operating Systems Basics Window Management Copy Pasting Essential Programs Manipulating Text in the Terminal Acme - The Do It All Application Multiple Workspaces Tiling Windows Plumbing System Admin
Software engineering with LLMs in 2025: reality check
Hi – this is Gergely with the monthly, free issue of the Pragmatic Engineer Newsletter. In every issue, I cover challenges at Big Tech and startups through the lens of engineering managers and senior engineers. If you’ve been forwarded this email, you can subscribe here. Two weeks ago, I gave a keynote at LDX3 in London, “Software engineering with GenAI.” During the weeks prior, I talked with soft
Tuesday, September 13, 2022 :: Tagged under: engineering. ⏰ 11 minutes. Hey! Thanks for reading! Just a reminder that I wrote this some years ago, and may have much more complicated feelings about this topic than I did when I wrote it. Happy to elaborate, feel free to reach out to me! 😄 🎵 The song for this post is I, Don Quixote from the musical Man of La Mancha, composed by Mitch Leigh and Joe
Expert Generalists
As computer systems get more sophisticated we've seen a growing trend to value deep specialists. But we've found that our most effective colleagues have a skill in spanning many specialties. We are thus starting to explicitly recognize this as a first-class skill of “Expert Generalist”. We can identify the key characteristics of people with this skill - and thus recruit and promote based on it. We
TL;DR: I think that a focus on memory safe languages (MSLs) versus non memory-safe languages is a bit of a red herring. The actual distinction is slightly bigger than that: languages which have defined behavior by default, with a superset where undefined behavior is possible, vs languages which allow for undefined behavior anywhere in your program. Memory safety is an important aspect of this, but
Here is a list of common JavaScript interview questions with detailed answers to help you prepare for the interview as a JavaScript developer. JavaScript continues to be a cornerstone of web development, powering dynamic and interactive experiences across the web. As the language evolves, so does the complexity and scope of interview questions for JavaScript developers. Whether you’re a fresher de
A History of Clojure
71 A History of Clojure RICH HICKEY, Cognitect, Inc., USA Shepherd: Mira Mezini, Technische Universität Darmstadt, Germany Clojure was designed to be a general-purpose, practical functional language, suitable for use by professionals wherever its host language, e.g., Java, would be. Initially designed in 2005 and released in 2007, Clojure is a dialect of Lisp, but is not a direct descendant of any
DisclaimerThese are my own views, not necessarily those of my employer. SummaryLarge language models (LLMs) represent a major advance in artificial intelligence (AI), and in particular toward the goal of human-like artificial general intelligence (AGI). It’s sometimes claimed, though, that machine learning is “just statistics”, hence that progress in AI is illusory with regard to this grander ambi
Python Interview Questions
Here is a list of common Python interview questions with detailed answers to help you prepare for the interview as a Python developer. Python, with its versatile use cases and straightforward syntax, has seen its popularity growing continuously in software development, data science, artificial intelligence, and many other fields. As such, interviews for Python-related positions are designed not on
Django for Startup Founders: A better software architecture for SaaS startups and consumer apps
In an ideal world, startups would be easy. We'd run our idea by some potential customers, build the product, and then immediately ride that sweet exponential growth curve off into early retirement. Of course it doesn't actually work like that. Not even a little. In real life, even startups that go on to become billion-dollar companies typically go through phases like: Having little or no growth fo
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Welcome to Comprehensive Rust 🦀 - Comprehensive Rust 🦀
Prototyping in Rust | corrode Rust Consulting
Cheating is All You Need | Sourcegraph Blog
Why Create a New Unix Shell? (2021)
Andrej Karpathy — AGI is still a decade away
Why We Use Julia, 10 Years Later
How to Write Blog Posts that Developers Read
🤓 So you're using a weird language 🧠
Memory Safety is a Red Herring
JavaScript Interview Questions
Do large language models understand us?