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  • 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

      GitHub - modelcontextprotocol/servers: Model Context Protocol Servers
    • Algorithms for Modern Hardware - Algorithmica

      This is an upcoming high performance computing book titled “Algorithms for Modern Hardware” by Sergey Slotin. Its intended audience is everyone from performance engineers and practical algorithm researchers to undergraduate computer science students who have just finished an advanced algorithms course and want to learn more practical ways to speed up a program than by going from $O(n \log n)$ to $

      • The New Three-Tier Application | DBOS

        In the beginning (that is, the 90’s), developers created the three-tier application. Per Martin Fowler, these tiers were the data source tier, managing persistent data, the domain tier, implementing the application’s primary business logic, and the presentation tier, handling the interaction between the user and the software. The motivation for this separation is as relevant today as it was then:

          The New Three-Tier Application | DBOS
        • January 2025 (version 1.97)

          Update 1.97.1: The update addresses these security issues. Update 1.97.2: The update addresses these issues. Downloads: Windows: x64 Arm64 | Mac: Universal Intel silicon | Linux: deb rpm tarball Arm snap Welcome to the January 2025 release of Visual Studio Code. There are many updates in this version that we hope you'll like, some of the key highlights include: Next Edit Suggestions (preview) - Co

            January 2025 (version 1.97)
          • 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. Automotive & Logistics Business & Professional Services Financial Services Healthcare & Life Sciences Hospitality & Travel Manufacturing, Industrial & Electronics Media, Marketing & Gaming Public Sec

              Real-world gen AI use cases from the world's leading organizations | Google Cloud Blog
            • September 2024 (version 1.94)

              Update 1.94.1: The update addresses this security issue. Update 1.94.2: The update addresses these issues. Downloads: Windows: x64 Arm64 | Mac: Universal Intel silicon | Linux: deb rpm tarball Arm snap Welcome to the September 2024 release of Visual Studio Code. There are many updates in this version that we hope you'll like, some of the key highlights include: Find in Explorer - Quickly find file

                September 2024 (version 1.94)
              • ML and NLP Research Highlights of 2021

                Credit for the title image: Liu et al. (2021) 2021 saw many exciting advances in machine learning (ML) and natural language processing (NLP). In this post, I will cover the papers and research areas that I found most inspiring. I tried to cover the papers that I was aware of but likely missed many relevant ones. Feel free to highlight them as well as ones that you found inspiring in the comments.

                  ML and NLP Research Highlights of 2021
                • TemporalによるDurableなワークフロー開発 - UPSIDER Techblog

                  こんにちは、UPSIDERで請求関連の機能の開発を担当しているチームです。 本記事では、Temporal というフレームワークを活用した Durableなワークフロー開発についてご紹介します。 私たちのチームでは、UPSIDERのさまざまなサービスにまたがる請求関連をスムーズかつ確実に処理するために、日々たくさんの課題に向き合っています。今回は、その中で出会った難しさと、それをどうTemporalを利用して乗り越えたかを技術的な観点からお届けします。 1. 「Durableな請求処理」が求められる背景 長期戦の請求処理との戦い UPSIDERでは、月初の請求確定、請求日前日のリマインド通知、入金確認、そして万が一の引き落とし失敗時の督促対応など、1ヶ月以上に渡って連続的に発生する一連の請求イベントを管理しています。 単発の処理では終わらないーむしろ請求が確定したところから、長いマラソンが始

                    TemporalによるDurableなワークフロー開発 - UPSIDER Techblog
                  • Rust for Secure IoT Applications: Why C Is Getting Rusty

                    www.embedded-world.eu Rust for Secure IoT Applications Why C Is Getting Rusty Mario Noseda, Fabian Frei, Andreas Rüst, Simon Künzli Zurich University of Applied Sciences (ZHAW) Institute of Embedded Systems (InES) Winterthur, Switzerland mario.noseda@zhaw.ch, fabian.frei@zhaw.ch, andreas.ruest@zhaw.ch, simon.kuenzli@zhaw.ch Abstract— Memory corruption is still the most used type of exploit in toda

                    • Introducing Beads: A coding agent memory system

                      I have been vibe coding like a madman for forty days and forty nights. It’s a long story, so I’ll summarize in these three pictures. Vibe coding on the beach with Thorsten Ball, then driving 60mph, then at the mallOn the left, 3 weeks ago, we have me vibe coding on the beach at dinner in Cabo San Lucas, Mexico, with the inimitable Thorsten Ball, our buddy Matt Manela, and other Sourcegraph colleag

                        Introducing Beads: A coding agent memory system
                      • Context Engineering - Short-Term Memory Management with Sessions from OpenAI Agents SDK

                        Prerequisites Before running this cookbook, you must set up the following accounts and complete a few setup actions. These prerequisites are essential to interact with the APIs used in this project. Step0: OpenAI Account and OPENAI_API_KEY Purpose: You need an OpenAI account to access language models and use the Agents SDK featured in this cookbook. Action: Sign up for an OpenAI account if you don

                          Context Engineering - Short-Term Memory Management with Sessions from OpenAI Agents SDK
                        • Text-to-SQL solution powered by Amazon Bedrock | Amazon Web Services

                          Artificial Intelligence Text-to-SQL solution powered by Amazon Bedrock Building a text-to-SQL solution using Amazon Bedrock can alleviate one of the most persistent bottlenecks in data-driven organizations: the delay between asking a business question and getting a clear, data-backed answer. You might be familiar with the challenge of navigating competing priorities when your one-time question is

                            Text-to-SQL solution powered by Amazon Bedrock | Amazon Web Services
                          • The Kaggle Grandmasters Playbook: 7 Battle-Tested Modeling Techniques for Tabular Data | NVIDIA Technical Blog

                            The authors have developed a playbook for solving real-world tabular problems, refined through hundreds of Kaggle competitions, which emphasizes fast experimentation and careful validation.Key techniques include using GPU acceleration for dataframe operations and model training with NVIDIA cuML or GPU backends of XGBoost, LightGBM, and CatBoost to enable rapid iteration.The authors also stress the

                              The Kaggle Grandmasters Playbook: 7 Battle-Tested Modeling Techniques for Tabular Data | NVIDIA Technical Blog
                            • Godot 4.0 sets sail: All aboard for new horizons – Godot Engine

                              After 3+ years of breaking and rebuilding from the ground up, a complete core overhaul and a full engine rewrite, through 17 alphas, 17 betas and 6 release candidates, we’re thrilled to say: Welcome to the start of Godot 4! Time to reach new heights together. We’re extremely excited but most of all, we’re humbled by the experience. We believe that this project is one of the most incredible example

                                Godot 4.0 sets sail: All aboard for new horizons – Godot Engine
                              • Building Distributed Systems in Node

                                This post introduces the concept of durable execution, which is used by Stripe, Netflix, Coinbase, HashiCorp, and many others to solve a wide range of problems in distributed systems. Then it shows how simple it is to write durable code using Temporal's TypeScript/JavaScript SDK. For an updated version of this post, see durable-execution.pdf Distributed systems# When building a request-response mo

                                  Building Distributed Systems in Node
                                • GEPA: Reflective Prompt Evolution Can Outperform Reinforcement Learning

                                  Accepted at ICLR 2026 (Oral). GEPA: REFLECTIVE PROMPT EVOLUTION CAN OUTPER- FORM REINFORCEMENT LEARNING Lakshya A Agrawal1 , Shangyin Tan1 , Dilara Soylu2 , Noah Ziems4 , Rishi Khare1 , Krista Opsahl-Ong5 , Arnav Singhvi2,5 , Herumb Shandilya2 , Michael J Ryan2 , Meng Jiang4 , Christopher Potts2 , Koushik Sen1 , Alexandros G. Dimakis1,3 , Ion Stoica1 , Dan Klein1 , Matei Zaharia1,5 , Omar Khattab6

                                  • How video works

                                    Playback It might seem obvious, but there's a lot wrapped up in the word "playback"! The video player's UI is the first thing that most people associate with playback since it's what they see and interact with the most whenever they watch video on a site or platform. The icons and colors used in a player’s controls might be the most visible to the end-user, but that's just the tip of the playback

                                    • Data Distribution Shifts and Monitoring

                                      Note: This note is a work-in-progress, created for the course CS 329S: Machine Learning Systems Design (Stanford, 2022). For the fully developed text, see the book Designing Machine Learning Systems (Chip Huyen, O’Reilly 2022). Slides (much shorter 😁). Original Google Docs version. Let’s start the note with a story I was told by an executive that many readers might be able to relate to. About two

                                        Data Distribution Shifts and Monitoring
                                      • How We Migrated onto K8s in Less Than 12 months | Figma Blog

                                        Migrating onto Kubernetes can take years. Here’s why we decided it was worth undertaking, and how we moved a majority of our core services in less than 12 months, all while making our compute platform easier to use. At high-growth companies, resources are precious. At Figma, we need to be sure that any decision we make—whether it’s about user-facing features or back-end infrastructure—will leave t

                                          How We Migrated onto K8s in Less Than 12 months | Figma Blog
                                        • Temporal Python SDK | Durable Asyncio Event Loop

                                          Temporal Python SDK: A durable, distributed asyncio event loop We are excited about the GA release of the Temporal Python SDK. Python is now a fully-supported workflow language in Temporal, and our use of native asyncio constructs makes it a perfect fit for Python developers looking to write durable workflows. Here are some links to read more about Temporal Python: Repository Application Developme

                                            Temporal Python SDK | Durable Asyncio Event Loop
                                          • JSSE: A JavaScript Engine Built by an Agent - Notes & Code

                                            In January, I came across a blog post by the author of one-agent-one-browser, a from-scratch browser built in Rust by a single person directing a single coding agent over a few days. No JavaScript support, though. I read it and thought: "How hard can it be to build a JavaScript engine the same way?" Six weeks later, JSSE (JavaScript Simple Engine) became the first JavaScript engine I know of to pa

                                            • How Disney Improved Activity Recognition Through Multimodal Approaches with PyTorch

                                              by Monica Alfaro, Albert Aparicio, Francesc Guitart, Marc Junyent, Pablo Pernias, Marcel Porta, and Miquel Àngel Farré (former Senior Technology Manager) Introduction Among the many things Disney Media & Entertainment Distribution (DMED) is responsible for, is the management and distribution of a huge array of media assets including news, sports, entertainment and features, episodic programs, mark

                                                How Disney Improved Activity Recognition Through Multimodal Approaches with PyTorch
                                              • Node.js — Node.js 25.7.0 (Current)

                                                2026-02-24, Version 25.7.0 (Current), @ruyadorno prepared by @aduh95 Notable Changes [b0a79b10f0] - (SEMVER-MINOR) http2: add http1Options for HTTP/1 fallback configuration (Amol Yadav) #61713 [2d874dfb8e] - (SEMVER-MINOR) sea: support ESM entry point in SEA (Joyee Cheung) #61813 [ee59127664] - sqlite: mark as release candidate (Matteo Collina) #61262 [608736e19e] - (SEMVER-MINOR) stream: rename D

                                                  Node.js — Node.js 25.7.0 (Current)
                                                • GitHub - ComfyUI-Workflow/awesome-comfyui: A collection of awesome custom nodes for ComfyUI

                                                  ComfyUI-Gemini_Flash_2.0_Exp (⭐+172): A ComfyUI custom node that integrates Google's Gemini Flash 2.0 Experimental model, enabling multimodal analysis of text, images, video frames, and audio directly within ComfyUI workflows. ComfyUI-ACE_Plus (⭐+115): Custom nodes for various visual generation and editing tasks using ACE_Plus FFT Model. ComfyUI-Manager (⭐+113): ComfyUI-Manager itself is also a cu

                                                    GitHub - ComfyUI-Workflow/awesome-comfyui: A collection of awesome custom nodes for ComfyUI
                                                  • Transformers4Rec: A flexible library for Sequential and Session-based recommendation

                                                    Recommender systems help users to find relevant content, products, media and much more in online services. They also help such services to connect their long-tailed (unpopular) items to the right people, to keep their users engaged and increase conversion. Traditional recommendation algorithms, e.g. collaborative filtering, usually ignore the temporal dynamics and the sequence of interactions when

                                                      Transformers4Rec: A flexible library for Sequential and Session-based recommendation
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