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  • REST API Design Best Practices Handbook – How to Build a REST API with JavaScript, Node.js, and Express.js

    By Jean-Marc Möckel I've created and consumed many API's over the past few years. During that time, I've come across good and bad practices and have experienced nasty situations when consuming and building API's. But there also have been great moments. There are helpful articles online which present many best practices, but many of them lack some practicality in my opinion. Knowing the theory with

      REST API Design Best Practices Handbook – How to Build a REST API with JavaScript, Node.js, and Express.js
    • Logging in Python like a PRO 🐍🌴

      Beyond exception handling, there's something else I see people struggling with, which is logging. Most people don't know what to log, so they decide to log anything thinking it might be better than nothing, and end up creating just noise. Noise is a piece of information that doesn't help you or your team understand what's going on or resolving a problem. Furthermore, I feel people are uncertain ab

        Logging in Python like a PRO 🐍🌴
      • GitHub - modelcontextprotocol/servers: Model Context Protocol Servers

        Official integrations are maintained by companies building production ready MCP servers for their platforms. 21st.dev Magic - Create crafted UI components inspired by the best 21st.dev design engineers. ActionKit by Paragon - Connect to 130+ SaaS integrations (e.g. Slack, Salesforce, Gmail) with Paragon’s ActionKit API. Adfin - The only platform you need to get paid - all payments in one place, in

          GitHub - modelcontextprotocol/servers: Model Context Protocol Servers
        • OOP: the worst thing that happened to programming

          > BTC: bc1qs0sq7agz5j30qnqz9m60xj4tt8th6aazgw7kxr ETH: 0x1D834755b5e889703930AC9b784CB625B3cd833E USDT(Tron): TPrCq8LxGykQ4as3o1oB8V7x1w2YPU2o5n Ton: UQAtBuFWI3H_LpHfEToil4iYemtfmyzlaJpahM3tFSoxomYQ Doge: D7GMQdKhKC9ymbT9PtcetSFTQjyPRRfkwTdismiss OOP: the worst thing that happened to programming [2/24/2025] In this article, we will try to understand why OOP is the worst thing that happened to prog

            OOP: the worst thing that happened to programming
          • research!rsc: Coroutines for Go

            This post is about why we need a coroutine package for Go, and what it would look like. But first, what are coroutines? Every programmer today is familiar with function calls (subroutines): F calls G, which stops F and runs G. G does its work, potentially calling and waiting for other functions, and eventually returns. When G returns, G is gone and F continues running. In this pattern, only one fu

            • Writing a C compiler in 500 lines of Python

              A few months ago, I set myself the challenge of writing a C compiler in 500 lines of Python1, after writing my SDF donut post. How hard could it be? The answer was, pretty hard, even when dropping quite a few features. But it was also pretty interesting, and the result is surprisingly functional and not too hard to understand! There's too much code for me to comprehensively cover in a single blog

              • PacketProxyで探るGemini CLIのコンテキストエンジニアリング 〜AIエージェントを信頼できる相棒に〜 | BLOG - DeNA Engineering

                2025.07.18 技術記事 PacketProxyで探るGemini CLIのコンテキストエンジニアリング 〜AIエージェントを信頼できる相棒に〜 by akira.kuroiwa #gemini-cli #ai #security #aiエージェント #コンテキストエンジニアリング #packetproxy 「なんかよく分からないけど、すごい」で終わらせないために こんにちは、DeNA セキュリティ技術グループの 黒岩 亮 ( @kakira9618 ) です。 AIエージェント、とくに Gemini CLI のようなコーディングを支援してくれるツールは非常に強力で、私たちの開発体験を大きく変えようとしています。しかし、その一方で、こんな風に感じたことはありませんか? 「このファイルの情報、勝手にAIに送られたりしない? 大丈夫かな?」 と、情報管理・セキュリティ面で漠然とした不安を

                  PacketProxyで探るGemini CLIのコンテキストエンジニアリング 〜AIエージェントを信頼できる相棒に〜 | BLOG - DeNA Engineering
                • Rewriting the Ruby parser

                  At Shopify, we have spent the last year writing a new Ruby parser, which we’ve called YARP (Yet Another Ruby Parser). As of the date of this post, YARP can parse a semantically equivalent syntax tree to Ruby 3.3 on every Ruby file in Shopify’s main codebase, GitHub’s main codebase, CRuby, and the 100 most popular gems downloaded from rubygems.org. We recently got approval to merge this work into C

                    Rewriting the Ruby parser
                  • How to create a Python package in 2022

                    Photo by Claudio Schwarz on Unsplash. How to create a Python package? In order to create a Python package, you need to write the code that implements the functionality you want to put in your package, and then you need to publish it to PyPI. That is the bare minimum. Nowadays, you can also set up a variety of other things to make your life easier down the road: continuous testing of your package;

                      How to create a Python package in 2022
                    • Announcing TypeScript 5.2 - TypeScript

                      Today we’re excited to announce the release of TypeScript 5.2! If you’re not familiar with TypeScript, it’s a language that builds on top of JavaScript by making it possible to declare and describe types. Writing types in our code allows us to explain intent and have other tools check our code to catch mistakes like typos, issues with null and undefined, and more. Types also power TypeScript’s edi

                        Announcing TypeScript 5.2 - TypeScript
                      • Scala is a Maintenance Nightmare - MungingData

                        Scala is a Maintenance Nightmare This post explains why Scala projects are difficult to maintain. Scala is a powerful programming language that can make certain small teams hyper-productive. Scala can also slow productivity by drowning teams in in code complexity or burning them in dependency hell. Scala is famous for crazy, complex code - everyone knows about that risk factor already. The rest of

                        • kyju.org - Piccolo - A Stackless Lua Interpreter

                          Piccolo - A Stackless Lua Interpreter 2024-05-01 History of piccolo A "Stackless" Interpreter Design Benefits of Stackless Cancellation Pre-emptive Concurrency Fuel, Pacing, and Custom Scheduling "Symmetric" Coroutines and coroutine.yieldto The "Big Lie" Rust Coroutines, Lua Coroutines, and Snarfing Zooming Out piccolo is an interpreter for the Lua language written in pure, mostly safe Rust with a

                          • Prompt Engineering

                            Date: March 15, 2023 | Estimated Reading Time: 21 min | Author: Lilian Weng Prompt Engineering, also known as In-Context Prompting, refers to methods for how to communicate with LLM to steer its behavior for desired outcomes without updating the model weights. It is an empirical science and the effect of prompt engineering methods can vary a lot among models, thus requiring heavy experimentation a

                            • 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

                                • April 2022 (version 1.67)

                                  Join a VS Code Dev Days event near you to learn about AI-assisted development in VS Code. Update 1.67.1: The update addresses this security issue. Update 1.67.2: The update addresses these issues. Downloads: Windows: x64 Arm64 | Mac: Universal Intel silicon | Linux: deb rpm tarball Arm snap Welcome to the April 2022 release of Visual Studio Code. There are many updates in this version that we hope

                                    April 2022 (version 1.67)
                                  • May 2025 (version 1.101)

                                    Release date: June 12, 2025 Security update: The following extension has security updates: ms-python.python. Update 1.101.1: The update addresses these issues. Update 1.101.2: The update addresses these issues. Downloads: Windows: x64 Arm64 | Mac: Universal Intel silicon | Linux: deb rpm tarball Arm snap Welcome to the May 2025 release of Visual Studio Code. There are many updates in this version

                                      May 2025 (version 1.101)
                                    • Parsing SQL - Strumenta

                                      The code for this tutorial is on GitHub: parsing-sql SQL is a language to handle data in a relational database. If you worked with data you have probably worked with SQL. In this article we will talk about parsing SQL. It is in the same league of HTML: maybe you never learned it formally but you kind of know how to use it. That is great because if you know SQL, you know how to handle data. However

                                        Parsing SQL - Strumenta
                                      • 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
                                        • Agentic GraphRAG for Commercial Contracts | Towards Data Science

                                          In every business, legal contracts are foundational documents that define the relationships, obligations, and responsibilities between parties. Whether it’s a partnership agreement, an NDA, or a supplier contract, these documents often contain critical information that drives decision-making, risk management, and compliance. However, navigating and extracting insights from these contracts can be a

                                            Agentic GraphRAG for Commercial Contracts | Towards Data Science
                                          • Kalyn: a self-hosting compiler for x86-64

                                            Over the course of my Spring 2020 semester at Harvey Mudd College, I developed a self-hosting compiler entirely from scratch. This article walks through many interesting parts of the project. It’s laid out so you can just read from beginning to end, but if you’re more interested in a particular topic, feel free to jump there. Or, take a look at the project on GitHub. Table of contents What the pro

                                            • A Walk with LuaJIT

                                              The following is a chronicle of implementing a general purpose zero-instrumentation BPF based profiler for LuaJIT. Some assumptions are made about what this entails and it may be helpful to read some of our other work in this area. One major change from prior efforts is that instead of working with the original Parca unwinder we are now working with the OpenTelemetry eBPF profiler. If you missed t

                                                A Walk with LuaJIT
                                              • Edge AI Just Got Faster

                                                When Meta released LLaMA back in February, many of us were excited to see a high-quality Large Language Model (LLM) become available for public access. Many of us who signed up however, had difficulties getting LLaMA to run on our edge and personal computer devices. One month ago, Georgi Gerganov started the llama.cpp project to provide a solution to this, and since then his project has been one o

                                                  Edge AI Just Got Faster
                                                • 0.8.0 Release Notes ⚡ The Zig Programming Language

                                                  Tier 4 Support § Support for these targets is entirely experimental. If this target is provided by LLVM, LLVM may have the target as an experimental target, which means that you need to use Zig-provided binaries for the target to be available, or build LLVM from source with special configure flags. zig targets will display the target if it is available. This target may be considered deprecated by

                                                  • April 2025 (version 1.100)

                                                    Release date: May 8, 2025 Update: Enable Next Edit Suggestions (NES) by default in VS Code Stable (more...). Update 1.100.1: The update addresses these security issues. Update 1.100.2: The update addresses these issues. Update 1.100.3: The update addresses these issues. Downloads: Windows: x64 Arm64 | Mac: Universal Intel silicon | Linux: deb rpm tarball Arm snap Welcome to the April 2025 release

                                                      April 2025 (version 1.100)
                                                    • SemVer in Rust: Tooling, Breakage, and Edge Cases — FOSDEM 2024

                                                      SemVer in Rust: Tooling, Breakage, and Edge Cases — FOSDEM 2024 Last month, I gave a talk titled "SemVer in Rust: Breakage, Tooling, and Edge Cases" at the FOSDEM 2024 conference. The talk is a practical look at what semantic versioning (SemVer) buys us, why SemVer goes wrong in practice, and how the cargo-semver-checks linter can help prevent the damage caused by SemVer breakage. TL;DR: SemVer is

                                                        SemVer in Rust: Tooling, Breakage, and Edge Cases — FOSDEM 2024
                                                      • Real-world gen AI use cases from the world's leading organizations | Google Cloud Blog

                                                        AI is here, AI is everywhere: Top companies, governments, researchers, and startups are already enhancing their work with Google's AI solutions. Published April 12, 2024; last updated October 9, 2025. A year and a half ago, during Google Cloud Next 24, we published this list for the first time. It numbered 101 entries. It felt like a lot at the time, and served as a showcase of how much momentum b

                                                          Real-world gen AI use cases from the world's leading organizations | Google Cloud Blog
                                                        • Lean for JavaScript Developers — overreacted

                                                          Lean for JavaScript DevelopersSeptember 2, 2025 This is my opinionated syntax primer for the Lean programming language. It is far from complete and may contain inaccuracies (I’m still learning Lean myself) but this is how I wish I was introduced to it, and what I wish was clarified. Why Lean? This post assumes you’re already eager to learn a bit of Lean. For motivation, I humbly submit to you two

                                                            Lean for JavaScript Developers — overreacted
                                                          • So You Want To Remove The GVL?

                                                            I want to write a post about Pitchfork, explaining where it comes from, why it is like it is, and how I see its future. But before I can get to that, I think I need to share my mental model on a few things, in this case, Ruby’s GVL. For quite a long time, it has been said that Rails applications are mostly IO-bound, hence Ruby’s GVL isn’t that big of a deal and that has influenced the design of so

                                                            • 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

                                                              • LLM Powered Autonomous Agents

                                                                Date: June 23, 2023 | Estimated Reading Time: 31 min | Author: Lilian Weng Building agents with LLM (large language model) as its core controller is a cool concept. Several proof-of-concepts demos, such as AutoGPT, GPT-Engineer and BabyAGI, serve as inspiring examples. The potentiality of LLM extends beyond generating well-written copies, stories, essays and programs; it can be framed as a powerfu

                                                                • 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
                                                                  • 0.10.0 Release Notes ⚡ The Zig Programming Language

                                                                    Tier 4 Support § Support for these targets is entirely experimental. If this target is provided by LLVM, LLVM may have the target as an experimental target, which means that you need to use Zig-provided binaries for the target to be available, or build LLVM from source with special configure flags. zig targets will display the target if it is available. This target may be considered deprecated by

                                                                    • 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
                                                                      • New – Amazon CloudWatch Evidently – Experiments and Feature Management | Amazon Web Services

                                                                        AWS News Blog New – Amazon CloudWatch Evidently – Experiments and Feature Management Update Nov 29, 2021 – This post has been modified to provide more clarity on the new service. As a developer, I am excited to announce the availability of Amazon CloudWatch Evidently. This is a new Amazon CloudWatch capability that makes it easy for developers to introduce experiments and feature management in the

                                                                          New – Amazon CloudWatch Evidently – Experiments and Feature Management | Amazon Web Services
                                                                        • Python behind the scenes #13: the GIL and its effects on Python multithreading

                                                                          As you probably know, the GIL stands for the Global Interpreter Lock, and its job is to make the CPython interpreter thread-safe. The GIL allows only one OS thread to execute Python bytecode at any given time, and the consequence of this is that it's not possible to speed up CPU-intensive Python code by distributing the work among multiple threads. This is, however, not the only negative effect of

                                                                          • Boring Python: code quality

                                                                            Boring Python: code quality December 19, 2022 Django, Python This is the second in a series of posts I intend to write about how to build, deploy, and manage Python applications in as boring a way as possible. In the first post in the series I gave a definition of what I mean by “boring”, and it’s worth revisiting: I don’t mean “reliable” or “bug-free” or “no incidents”. While there is some overla

                                                                              Boring Python: code quality
                                                                            • Software Engineering - The Soft Parts

                                                                              In "Software Engineering - The Soft Parts" Addy Osmani shares lessons from his first 10 years at Google on the "soft skills" that can help engineers become effective and scale their effectiveness. This guidance should help junior, mid-career and even senior developers move forward, deal with changing technology, and navigate building non-trivial systems. Today I'll share some of the software engin

                                                                                Software Engineering - The Soft Parts
                                                                              • 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

                                                                                • Rewriting Rust

                                                                                  The Rust programming language feels like a first generation product. You know what I mean. Like the first iPhone - which was amazing by the way. They made an entire operating system around multitouch. A smart phone with no keyboard. And a working web browser. Within a few months, we all realised what the iPhone really wanted to be. Only, the first generation iphone wasn't quite there. It didn't ha