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  • Building LLM applications for production

    [Hacker News discussion, LinkedIn discussion, Twitter thread] Update: My upcoming book, AI Engineering (late 2024/early 2025) will cover building aplications with foundation models in depth. A question that I’ve been asked a lot recently is how large language models (LLMs) will change machine learning workflows. After working with several companies who are working with LLM applications and persona

      Building LLM applications for production
    • Incident Metrics in SRE

      Štěpán Davidovič Incident Metrics in SRE Critically Evaluating MTTR and Friends Boston Farnham Sebastopol Tokyo Beijing Boston Farnham Sebastopol Tokyo Beijing 978-1-098-10313-2 [LSI] Incident Metrics in SRE by Štěpán Davidovič Copyright © 2021 O’Reilly Media, Inc. All rights reserved. Printed in the United States of America. Published by O’Reilly Media, Inc., 1005 Gravenstein Highway North, Sebas

      • Golang Mini Reference 2022: A Quick Guide to the Modern Go Programming Language (REVIEW COPY)

        Golang Mini Reference 2022 A Quick Guide to the Modern Go Programming Language (REVIEW COPY) Harry Yoon Version 0.9.0, 2022-08-24 REVIEW COPY This is review copy, not to be shared or distributed to others. Please forward any feedback or comments to the author. • feedback@codingbookspress.com The book is tentatively scheduled to be published on September 14th, 2022. We hope that when the release da

        • AST vs. Bytecode: Interpreters in the Age of Meta-Compilation

          233 AST vs. Bytecode: Interpreters in the Age of Meta-Compilation OCTAVE LAROSE, University of Kent, UK SOPHIE KALEBA, University of Kent, UK HUMPHREY BURCHELL, University of Kent, UK STEFAN MARR, University of Kent, UK Thanks to partial evaluation and meta-tracing, it became practical to build language implementations that reach state-of-the-art peak performance by implementing only an interprete

          • How I developed a faster Ruby interpreter | Red Hat Developer

            In this article, I will describe my efforts to implement a faster interpreter for CRuby, the Ruby language interpreter, using a dynamically specialized internal representation (IR). I believe this article will interest developers trying to improve the interpreter performance of dynamic programming languages (e.g., CPython developers). I will cover the following topics: Existing CRuby interpreter a

              How I developed a faster Ruby interpreter | Red Hat Developer
            • Understanding AWS Lambda Proactive Initialization

              AWS Lambda warms up your functions, such that 50%-85% of Lambda Sandbox initializations don't increase latency for users. In this article we'll define Proactive Initialization, observe its frequency, and help you identify invocations where your cold starts weren't really that cold. July 13, 2023 This post is both longer and more popular than I anticipated, so I’ve decided to add a quick summary: T

                Understanding AWS Lambda Proactive Initialization
              • Patterns for Building LLM-based Systems & Products

                Patterns for Building LLM-based Systems & Products [ llm engineering production 🔥 ] · 66 min read Discussions on HackerNews, Twitter, and LinkedIn “There is a large class of problems that are easy to imagine and build demos for, but extremely hard to make products out of. For example, self-driving: It’s easy to demo a car self-driving around a block, but making it into a product takes a decade.”

                  Patterns for Building LLM-based Systems & Products
                • Little Languages Are The Future Of Programming

                  I’ve become convinced that “little languages”—small languages designed to solve very specific problems—are the future of programming, particularly after reading Gabriella Gonzalez’s The end of history for programming and watching Alan Kay’s Programming and Scaling talk. You should go check them out because they’re both excellent, but if you stick around I’ll explain just what I mean by “little lan

                    Little Languages Are The Future Of Programming
                  • The Go Programming Language and Environment – Communications of the ACM

                    Go is a programming language created at Google in late 2007 and released as open source in November 2009. Since then, it has operated as a public project, with contributions from thousands of individuals and dozens of companies. Go has become a popular language for building cloud infrastructure: Docker, a Linux container manager, and Kubernetes, a container deployment system, are core cloud techno

                    • 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 State of React and the Community in 2025

                        Random musings on React, Redux, and more, by Redux maintainer Mark "acemarke" Erikson Detailed thoughts on how React has been developed over time, and explanations for common community confusion and concerns Introduction 🔗︎ Today, the state of React and its ecosystem is complicated and fractured, with a mixture of successes, skepticism, and contention. On the positive side: React is the most wide

                          The State of React and the Community in 2025
                        • Andrej Karpathy — AGI is still a decade away

                          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

                            Andrej Karpathy — AGI is still a decade away
                          • How to think about agent frameworks

                            TL;DR: The hard part of building reliable agentic systems is making sure the LLM has the appropriate context at each step. This includes both controlling the exact content that goes into the LLM, as well as running the appropriate steps to generate relevant content.Agentic systems consist of both workflows and agents (and everything in between).Most agentic frameworks are neither declarative or im

                              How to think about agent frameworks
                            • Eliciting Reasoning in Language Models with Cognitive Tools

                              arXiv:2506.12115v1 [cs.CL] 13 Jun 2025 Eliciting Reasoning in Language Models with Cognitive Tools Brown Ebouky IBM Research - Zurich ETH Zurich Brown.Ebouky@ibm.com Andrea Bartezzaghi IBM Research - Zurich abt@zurich.ibm.com Mattia Rigotti IBM Research - Zurich mrg@zurich.ibm.com Abstract The recent advent of reasoning models like OpenAI’s o1 was met with excited spec- ulation by the AI community

                              • State of the Common Lisp ecosystem, 2020 🎉 - Lisp journey

                                NEW: 9 videos (86min) about CLOS on my Common Lisp course. Out of 7h+ of content. Rated 4.7/5. Learn more and stay tuned. 🎥 I also have cool Lisp showcases on Youtube . The last ones: how to build a web app in Common Lisp, part 1 and 2. This is a description of the Common Lisp ecosystem, as of January, 2021, from the perspective of a user and contributor. The purpose of this article is both to gi

                                • 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

                                  • Gregory Szorc's Digital Home | Rust is for Professionals

                                    A professional programmer delivers value through the authoring and maintaining of software that solves problems. (There are other important ways for professional programmers to deliver value but this post is about programming.) Programmers rely on various tools to author software. Arguably the most important and consequential choice of tool is the programming language. In this post, I will articul

                                    • 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

                                      • Object-oriented Programming in Python

                                        You must know the power of Object-oriented programming if you have ever worked with object-oriented languages like Java, C#, and much more. Python also supports object-oriented programming, and we can define a class in Python. Let’s explore more about how to achieve this in Python. In the post Getting Started with Python, I have covered the essentials required before becoming a data scientist. In

                                          Object-oriented Programming in Python
                                        • LLMs and SQL

                                          Francisco Ingham and Jon Luo are two of the community members leading the change on the SQL integrations. We’re really excited to write this blog post with them going over all the tips and tricks they’ve learned doing so. We’re even more excited to announce that we’ll be doing an hour long webinar with them to discuss these learnings and field other related questions. This webinar will be on March

                                            LLMs and SQL
                                          • If Not React, Then What? - Infrequently Noted

                                            Over the past decade, my work has centred on partnering with teams to build ambitious products for the web across both desktop and mobile. This has provided a ring-side seat to a sweeping variety of teams, products, and technology stacks across more than 100 engagements. While I'd like to be spending most of this time working through improvements to web APIs, the majority of time spent with partne

                                              If Not React, Then What? - Infrequently Noted
                                            • 🤓 So you're using a weird language 🧠

                                              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

                                                🤓 So you're using a weird language 🧠
                                              • Fools! Stop Mysticizing System Dynamics - Richard Marmorstein

                                                by Richard Marmorstein - September 23, 2022 ← Home ccasionally, my Twitter feed sends to me a writer arguing via queueing theory, stock and flow diagrams, equations, or even simulations to advance their ideas of how software teams should operate. These are the tools of system dynamics. I understand the appeal. We’re engineers. We like building things. System dynamics lets you construct an argument

                                                • JavaScript Interview Questions

                                                  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

                                                    JavaScript Interview Questions
                                                  • Holiday Book Recommendations for Software Engineers, Engineering Managers and Product Managers

                                                    Books perfect as reading or gifts during the end-of-year break for those working in tech. More than 100 book recommendations. I’ve always found books are an underrated way to learn something new. Great books contain years of hard-earned experiences compressed into what you can read in hours. However, you do need to give hours-long attention to them. This allows books to convey ideas that shorter-f

                                                      Holiday Book Recommendations for Software Engineers, Engineering Managers and Product Managers
                                                    • Automated Hydroponic System Build – Projects | Kyle Gabriel

                                                      Last Updated: August 28, 2022 Hydroponic farming is a method of growing crops without soil, with the main benefits of environmental and nutrient control, water conservation, and reduction of labor. This technique relies on a number of technologies that the principles of automation can be applied in order to improve yield and consistency. In this article and accompanying video, I’ll show you how to

                                                      • charity.wtf

                                                        charity.wtf charity wtf's about technology, databases, startups, engineering management, and whiskey. I wrote a lot of blog posts over my time at Parse, but they all evaporated after Facebook killed the product. Most of them I didn’t care about (there were, ahem, a lot of “service reliability updates”), but I was mad about losing one specific piece, a deceptively casual retrospective of the grueli

                                                          charity.wtf
                                                        • PoisonGPT: How to poison LLM supply chainon Hugging Face

                                                          PoisonGPT: How We Hid a Lobotomized LLM on Hugging Face to Spread Fake News We will show in this article how one can surgically modify an open-source model, GPT-J-6B, and upload it to Hugging Face to make it spread misinformation while being undetected by standard benchmarks. We will show in this article how one can surgically modify an open-source model, GPT-J-6B, to make it spread misinformation

                                                            PoisonGPT: How to poison LLM supply chainon Hugging Face
                                                          • 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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