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. 2slides - An MCP server that provides tools to convert content into slides/PPT/presentation or generate slides/PPT/presentation with user intention. ActionKit by Paragon - Connect to 130+ SaaS inte
Why TypeScript 7.0 Was Rewritten in Go (and what it means for your dev stack) Over the last year, the team that invented TypeScript ported the TypeScript compiler and tools to Go. Not Rust. Not C++. Go. Microsoft’s numbers show build times improving by roughly an order of magnitude in the Go-based TypeScript 7.0. In the age of AI-assisted development, one of the largest JavaScript/TypeScript organ
Functional programming is finally going mainstream Object-oriented and imperative programming aren’t going away, but functional programming is finding its way into more codebases. Klint Finley // July 12, 2022 Paul Louth had a great development team at Meddbase, the healthcare software company he founded in 2005. But as the company grew, so did their bug count. That’s expected, up to a point. More
What We Learned from a Year of Building with LLMs (Part I)
It’s an exciting time to build with large language models (LLMs). Over the past year, LLMs have become “good enough” for real-world applications. The pace of improvements in LLMs, coupled with a parade of demos on social media, will fuel an estimated $200B investment in AI by 2025. LLMs are also broadly accessible, allowing everyone, not just ML engineers and scientists, to build intelligence into
There are millions of GitHub repos and filtering them is an insane amount of work. It takes a huge time, effort, and a lot more. We have done this for you. In this article, we’ll share a curated list of 100+ widely-known, recommended, and most popular repositories and open source GitHub projects for Machine Learning and Deep Learning. So without further ado, Let’s see all the hubs created by exper
There are lots of posts trying to show how simple it is to get started with Kubernetes. But many of these posts use complicated Kubernetes jargon for that, so even those with some prior server-side knowledge might be bewildered. Let me try something different here. Instead of explaining one unfamiliar matter (how to run a web service in Kubernetes?) with another (you just need a manifest, with thr
Python open source libraries for scaling time series forecasting solutions
By Francesca Lazzeri. This article is an extract from the book Machine Learning for Time Series Forecasting with Python, also by Lazzeri, published by Wiley. In the first and second articles in this series, I showed how to perform feature engineering on time series data with Python and how to automate the Machine Learning lifecycle for time series forecasting. In this third and concluding article,
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
Posted on September 8, 2025 I get asked on my stream and at talks I give, “What is it like to work in Haskell in production, full-time?” From November of 2020 until August 2025, I was employed at Mercury where I wrote code in Haskell. During that time I also started up a live video stream where I’ve built several libraries, games, and applications in Haskell for an audience. This post is a summary
Blog Home Archive Sections Some of my Favorites (Collections) Management Tips Speaker Tips Developer Relations Thoughts Interop Briefs Some of my Favorites (Individual posts) O/R-M is the Vietnam of Computer Science The Fallacies of Enterprise Computing SSCLI 2.0 Internals Recommended reading list Functional Java On Finding learning The Value of Failure Programming Promises; a Programmer's Hippocr
Out of all the migrations I help teams with, Go to Rust is a bit of an outlier. It’s not a question of “is Rust faster?” or “does Rust have types?”, Go already gets you most of the way there. The discussion is mostly about correctness guarantees, runtime tradeoffs, and developer ergonomics. A quick disclaimer before we start: this guide is heavily backend-focused. Backend services are where Go is
In 2013, I had an idea: "what if I were to build my programming language?". Back then my idea came down to "an interpreted language that mixes elements from Ruby and Smalltalk", and not much more. Between 2013 and 2015 I spent time on and off trying different languages (C, C++, D and various others I can't remember) to see which one I would use to build my language in. While this didn't help me fi
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 April 22, 2026. We first published this list two years ago at Next ‘24, as the agentic era was just dawning. Watching this list grow — propelled by our customer’s enthusiastic commitment to AI — proves we are now fir
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
CI/CD for Machine Learning in 2024: Best Practices & Tips | JFrog ML
CI/CD for Machine Learning in 2024: Best Practices to Build, Train, and Deploy Explore best practices for CI/CD in Machine Learning in 2024. Learn to build, train, and deploy ML models efficiently with expert strategies. Building and deploying code to production environments is a fundamental aspect of software development. This process is equally pivotal in the realm of production-grade Machine Le
The State of Python 2025: Trends and Survey Insights | The PyCharm Blog
This is a guest post from Michael Kennedy, the founder of Talk Python and a PSF Fellow. Welcome to the highlights, trends, and key actions from the eighth annual Python Developers Survey. This survey is conducted as a collaborative effort between the Python Software Foundation and JetBrains’ PyCharm team. The survey results provide a comprehensive look at Python usage statistics and popularity tre
MAI-Thinking-1: Building a Hill-Climbing Machine The Microsoft AI Team 1 Abstract Progress in AI is driven not by a single model, but by the ability to continually improve upon the current state of models. Achieving this requires treating model development as a system-level optimization problem, for which the solution is building a hill-climbing machine for rapid improvement. Our process includes
Accelerate Python code 100x by import taichi as ti | Taichi Docs
Python has become the most popular language in many rapidly evolving sectors, such as deep learning and data sciences. Yet its easy readability comes at the cost of performance. Of course, we all complain about program performance from time to time, and Python should certainly not take all the blame. Still, it's fair to say that Python's nature as an interpreted language does not help, especially
Introducing JavaScript support in MySQL - The Oracle MySQL Blog
MySQL continues to gear up innovations and now includes rich procedural programming capabilities inside the database. Developers can now write JavaScript stored programs (functions and procedures) in the MySQL database server. The stored programs will be run with the GraalVM run time. This is available as a Preview in MySQL Enterprise Edition and can be downloaded via Oracle Technology Network (OT
Automated Testing in Machine Learning Projects [Best Practices for MLOps]
Neptune Blog Automated Testing in Machine Learning Projects [Best Practices for MLOps] Automated testing in machine learning is a very useful segment of the ML project which can make some long-term differences. Probably underrated in the early stages of development, it gets attention only in the late stages, when the system starts to break apart with annoying bugs which only grow with time. To eas
![Automated Testing in Machine Learning Projects [Best Practices for MLOps]](https://cdn-ak-scissors.b.st-hatena.com/image/square/511179aad1767b982b51cabfdaca560c1afc33da/backend=imagemagick;height=288;version=1;width=512/https%3A%2F%2Fneptune.ai%2Fwp-content%2Fuploads%2F2022%2F07%2Fblog_feature_image_008809_5_4_4_3.jpg)
Pyrefly v1.0 is here! | Pyrefly
Today we are pleased to share that Pyrefly, our open source type checker and language server for Python, has reached stable version 1 status, meaning we are confident that Pyrefly is ready for production use. Pyrefly is a Python code analysis tool for helping you find bugs in your code, provide structure for your AI agents and give you faster navigation in your IDE. It was first released as an alp
Introducing Pedalboard: Spotify’s Audio Effects Library for Python | Spotify Engineering
Introducing Pedalboard: Spotify’s Audio Effects Library for Python We’ve just open sourced Pedalboard, Spotify’s framework for adding effects to audio in Python. Pedalboard makes it easy to use studio-quality audio effects in your code, rather than just in your digital audio workstation (DAW). If you ask any music or podcast producer where they spend most of their time, chances are they’ll say the
The Best GPUs for Deep Learning in 2023 — An In-depth Analysis
Deep learning is a field with intense computational requirements, and your choice of GPU will fundamentally determine your deep learning experience. But what features are important if you want to buy a new GPU? GPU RAM, cores, tensor cores, caches? How to make a cost-efficient choice? This blog post will delve into these questions, tackle common misconceptions, give you an intuitive understanding
This article is a translation, the original version is available here. I started using the OCaml language regularly around 2012, and since then, my interest and enthusiasm for this language have only grown. It has become my preferred choice for almost all my personal projects, and it has also influenced my professional choices. Since 2014, I have been actively participating in public conferences d
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’m excited to announce the project I’ve been working on for the last year and a half: Game Bub, an open-source FPGA based retro emulation handheld, with support for Game Boy, Game Boy Color, and Game Boy Advance games. May 2025 Update: Want to buy a prebuilt Game Bub? I’m launching a crowdfunding campaign on Crowd Supply! Sign up to be notified when the campaign goes live. Play Video: Game Bub ca
Try Mastering Emacs for free! Are you struggling with the basics? Have you mastered movement and editing yet? When you have read Mastering Emacs you will understand Emacs. It’s that time again: there’s a new major version of Emacs and, with it, a treasure trove of new features and changes. Notable features include the formal inclusion of native compilation, a technique that will greatly speed up y
google (Google)
<a href=\"https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/google-cloud/thumbnail.png\" rel=\"nofollow\"><img src=\"https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/google-cloud/thumbnail.png\" alt=\"Hugging Face x Google Cloud\"></a></p>\n<p><em>Welcome to the official Google organization on Hugging Face!</em></p>\n<p><a href=\"https://hug
From Common Lisp to Julia
This post explains my reasoning for migrating from Common Lisp to Julia as my primary programming language, after a few people have asked me to elaborate. This article is the product of my experiences and opinions, and may not reflect your own. Both languages are very well designed, and work well, so I encourage you to do your own research and form your own opinions about which programming languag
MLOps roadmap 2024
The MLOps engineer role is different from an ML engineer role. Even though the role varies from company to company, in general, ML engineers focus more on bringing individual projects to production, while MLOps engineers work more on building a platform that is used by machine learning engineers and data scientists. To build such platforms, lots of different skills are required. Here is a roadmap
Noble Numbat Release Notes Table of Contents Introduction New features in 24.04 LTS Known Issues Official flavours More information Introduction These release notes for Ubuntu 24.04 LTS (Noble Numbat) provide an overview of the release and document the known issues with Ubuntu and its flavours. For details of the changes applied since 24.04, please see the 24.04.2 change summary. Support lifespan
Announcing new Jupyter contributions by AWS to democratize generative AI and scale ML workloads | Amazon Web Services
Artificial Intelligence Announcing new Jupyter contributions by AWS to democratize generative AI and scale ML workloads Project Jupyter is a multi-stakeholder, open-source project that builds applications, open standards, and tools for data science, machine learning (ML), and computational science. The Jupyter Notebook, first released in 2011, has become a de facto standard tool used by millions o
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
Should you use OCaml for web projects? Web development trends are a hotly debated topic in the computer programming world and the familiar faces of languages and frameworks are unlikely to change: hypertext markup language or HTML, CSS, and JavaScript are the core technologies (with server-side technologies such as PHP, Python, etc.), and React, Vue, Svelte, and Angular are proving to be as popula
ML in Go with a Python sidecar - Eli Bendersky's website
Machine learning models are rapidly becoming more capable; how can we make use of these powerful new tools in our Go applications? For top-of-the-line commercial LLMs like ChatGPT, Gemini or Claude, the models are exposed as language agnostic REST APIs. We can hand-craft HTTP requests or use client libraries (SDKs) provided by the LLM vendors. If we need more customized solutions, however, some ch
GitHub - fainir/most-capable-agent-system-prompt: Most Capable Agent System Prompt
Paste this prompt into your coding agent of choice - Claude Code, Codex, Cursor, or any similar tool - and it will build the most capable, self-improving agentic system possible. Either as a harness wrapper around your existing agent or as fresh code built from scratch based on your preference. A system that can handle software engineering, scientific research, running a company, data analysis, br
A layered approach to MLOps
At present, MLOps — Machine Learning Operations — is a popular topic, with numerous books, blog posts, conference talks, and more focusing on how to build a scalable, repeatable, and production-ready Machine Learning workflow. Despite this interest, MLOps remains an emerging area, and there seem to be many different ideas on the “best” way to approach the subject. The reason for these differences
Build and deploy ML inference applications from scratch using Amazon SageMaker | Amazon Web Services
Artificial Intelligence Build and deploy ML inference applications from scratch using Amazon SageMaker As machine learning (ML) goes mainstream and gains wider adoption, ML-powered inference applications are becoming increasingly common to solve a range of complex business problems. The solution to these complex business problems often requires using multiple ML models and steps. This post shows y
Machine learning (ML) now impacts a wide swath of business, engineering, and research domains, to the extent where you’d be hard-pressed to find a niche where machine learning is totally uninvolved. Progress in ML has come on the coattails of broader trends in software and automation: Wherever human activity depends on doing repetitive tasks that can be readily described in a way that a computer c
Getting Started With Property-Based Testing in Python With Hypothesis and Pytest - Semaphore
I picked up most of my soft/hardware troubleshooting skills in the US Army. A decade of Java development drove me to operations, scaling infrastructure to cope with the thundering herd. Engineering coach and CTO of Teleclinic. This tutorial will be your gentle guide to property-based testing. Property-based testing is a testing philosophy; a way of approaching testing, much like unit testing is a
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Why TypeScript 7.0 Was Rewritten in Go (and what it means for your dev stack) | spf13
Functional programming is finally going mainstream
100+ Best GitHub Repositories For Machine Learning
How Kubernetes Reinvented Virtual Machines (in a good sense)
Agentultra - Using Haskell in Production
You Want Modules, Not Microservices
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A decade of developing a programming language
MAI-Thinking-1: Building a Hill-Climbing Machine
xvw.lol - Why I chose OCaml as my primary language
Why We Use Julia, 10 Years Later
Game Bub: open-source FPGA retro emulation handheld
What's New in Emacs 28.1?
Ubuntu 24.04 LTS (Noble Numbat) Release Notes
If Not React, Then What? - Infrequently Noted
OCaml Web Development: Essential Tools and Libraries in 2025
AutoML: Using Auto-Sklearn and Auto-PyTorch - DZone