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  • The End of Programming as We Know It

    There’s a lot of chatter in the media that software developers will soon lose their jobs to AI. I don’t buy it. It is not the end of programming. It is the end of programming as we know it today. That is not new. The first programmers connected physical circuits to perform each calculation. They were succeeded by programmers writing machine instructions as binary code to be input one bit at a time

      The End of Programming as We Know It
    • OpenAIのBatch APIを使ってお得にプロンプトを一括処理してみる - Taste of Tech Topics

      はじめに こんにちは。データサイエンスチームYAMALEXのSsk1029Takashiです。 最近はOpenAIに日本支社が出来て、日本語対応が加速するというニュースにわくわくしています。 今回はそんなOpenAIから発表されたBatch APIという機能が便利、かつお得な機能だったのでどのように使えるのか試してみます。 Introducing the Batch API: save costs and get higher rate limits on async tasks (such as summarization, translation, and image classification). Just upload a file of bulk requests, receive results within 24 hours, and get 50% off API pri

        OpenAIのBatch APIを使ってお得にプロンプトを一括処理してみる - Taste of Tech Topics
      • 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
        • Claude Mythos Preview \ red.anthropic.com

          Assessing Claude Mythos Preview’s cybersecurity capabilities April 7, 2026 Nicholas Carlini, Newton Cheng, Keane Lucas, Michael Moore, Milad Nasr, Vinay Prabhushankar, Winnie Xiao Hakeem Angulu, Evyatar Ben Asher, Jackie Bow, Keir Bradwell, Ben Buchanan, David Forsythe, Daniel Freeman, Alex Gaynor, Xinyang Ge, Logan Graham, Kyla Guru, Hasnain Lakhani, Matt McNiece, Mojtaba Mehrara, Renee Nichol, A

          • How Kubernetes Reinvented Virtual Machines (in a good sense)

            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

              How Kubernetes Reinvented Virtual Machines (in a good sense)
            • 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
              • 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

                • 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
                  • Wasm core dumps and debugging Rust in Cloudflare Workers

                    Wasm core dumps and debugging Rust in Cloudflare Workers2023-08-14 A clear sign of maturing for any new programming language or environment is how easy and efficient debugging them is. Programming, like any other complex task, involves various challenges and potential pitfalls. Logic errors, off-by-ones, null pointer dereferences, and memory leaks are some examples of things that can make software

                      Wasm core dumps and debugging Rust in Cloudflare Workers
                    • 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
                      • Cognition | How Devin Is Modernizing COBOL at Fortune 500 Companies

                        The pressure to modernize COBOL has never been greater. Forty-seven percent of organizations cannot fill their COBOL roles and 92% of COBOL developers plan on retiring by 2030. As a result, over the past eight months, several Fortune 500 companies have staffed Devin on COBOL project — documenting millions of lines of code, migrating a customs workflow from COBOL to AWS Lambda, and refactoring tax

                          Cognition | How Devin Is Modernizing COBOL at Fortune 500 Companies
                        • 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

                          • 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

                              The State of Python 2025: Trends and Survey Insights | The PyCharm Blog
                            • AI Flame Graphs

                              Recent posts: 05 Dec 2025 » Leaving Intel 28 Nov 2025 » On "AI Brendans" or "Virtual Brendans" 22 Nov 2025 » Intel is listening, don't waste your shot 17 Nov 2025 » Third Stage Engineering 04 Aug 2025 » When to Hire a Computer Performance Engineering Team (2025) part 1 of 2 22 May 2025 » 3 Years of Extremely Remote Work 01 May 2025 » Doom GPU Flame Graphs 29 Oct 2024 » AI Flame Graphs 22 Jul 2024

                              • Deep Research再現実装をDeep Research以上に詳しく検証してみた - AKARI Tech Blog

                                はじめに こんばんは! 今週のAKARI Tech Blogは、DX Solution 事業本部 Dev の許が担当いたします。 先日OpenAIが「Deep Research」を公開し、その驚異的な文献調査能力が話題となりましたね! 皆様使っていますでしょうか。 これまでひいこら言いながらインターネット検索していた時代と比べると、「Deep Research お願いします!」で、それなりの分析レポートが出てくることに隔世の感を感じますね。 これだけ性能の良いものが出てきた以上、仕組みが気になるところ。できることなら、自分たちでも再現実装してみたい! しかし例によってOpenAIは実装をオープンにはしてくれない……。 そこで登場するのが、Deep ResearchのOSS再現プロジェクトたち! まずは Deep ResearchにOpenな再現実装について聞いてみましょうか。 ChatGP

                                  Deep Research再現実装をDeep Research以上に詳しく検証してみた - AKARI Tech Blog
                                • January 2023 (version 1.75)

                                  Version 1.108 is now available! Read about the new features and fixes from December. Update 1.75.1: The update addresses these issues. Downloads: Windows: x64 Arm64 | Mac: Universal Intel silicon | Linux: deb rpm tarball Arm snap Welcome to the January 2023 release of Visual Studio Code. There are many updates in this version that we hope you'll like, some of the key highlights include: Profiles -

                                    January 2023 (version 1.75)
                                  • Rust on MIPS64 Windows NT 4.0

                                    Introduction Some part of me has always been fascinated with coercing code to run in weird places. I scratch this itch a lot with my security research projects. These often lead me to writing shellcode to run in kernels or embedded hardware, sometimes with the only way being through an existing bug. For those not familiar, shellcode is honestly hard to describe. I don’t know if there’s a very form

                                      Rust on MIPS64 Windows NT 4.0
                                    • Managing Python Environments in 2022 (for the 99%)

                                      TL;DR: Install mambaforge, use mamba to install packages, and pin direct dependencies inside your environment.yml. Pip, venv, virtualenv, pyenv, pipenv, micropipenv, pip-tools, conda, miniconda, mamba, micromamba, poetry, hatch, pdm, pyflow 🤯 These days even the most senior Python developer is confused about all the options to manage environments. Instead of untangling the whole convolutated mess

                                        Managing Python Environments in 2022 (for the 99%)
                                      • Understanding how certain database parameters impact scaling in Amazon Aurora Serverless v2 | Amazon Web Services

                                        AWS Database Blog Understanding how certain database parameters impact scaling in Amazon Aurora Serverless v2 Amazon Aurora Serverless v2 is an on-demand, auto scaling configuration for Amazon Aurora. It automatically starts up, shuts down, and scales capacity based on your application’s needs. It supports various workloads, from development and test environments, websites, and applications with i

                                          Understanding how certain database parameters impact scaling in Amazon Aurora Serverless v2 | Amazon Web Services
                                        • xvw.lol - Why I chose OCaml as my primary language

                                          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

                                          • 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

                                              Technology Trends for 2024
                                            • Programming languages resources

                                              This page is a collection of my favorite resources for people getting started writing programming languages. I hope to keep it updated as long as I continue to find great stuff. I made a fun compilers t-shirt and also a fun JIT compilers t-shirt Compilers Tufts compilers course COMP/CS 181 (2006, but it’s been taught more recently. I should probably ping Sam.) Cornell compilers course CS 6120 and

                                              • 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

                                                  MLOps roadmap 2024
                                                • Balance deployment speed and stability with DORA metrics | Amazon Web Services

                                                  AWS DevOps & Developer Productivity Blog Balance deployment speed and stability with DORA metrics Development teams adopt DevOps practices to increase the speed and quality of their software delivery. The DevOps Research and Assessment (DORA) metrics provide a popular method to measure progress towards that outcome. Using four key metrics, senior leaders can assess the current state of team maturi

                                                    Balance deployment speed and stability with DORA metrics | Amazon Web Services
                                                  • Expert used ChatGPT-4o to create a replica of his passport in just 5 minutes bypassing KYC

                                                    SECURITY AFFAIRS MALWARE NEWSLETTER ROUND 41 | Security Affairs newsletter Round 519 by Pierluigi Paganini – INTERNATIONAL EDITION | China admitted its role in Volt Typhoon cyberattacks on U.S. infrastructure | Symbolic Link trick lets attackers bypass FortiGate patches, Fortinet warns | Attackers are exploiting recently disclosed OttoKit WordPress plugin flaw | Laboratory Services Cooperative dat

                                                      Expert used ChatGPT-4o to create a replica of his passport in just 5 minutes bypassing KYC
                                                    • Flipping Pages: An analysis of a new Linux vulnerability in nf_tables and hardened exploitation techniques

                                                      This blogpost is the next instalment of my series of hands-on no-boilerplate vulnerability research blogposts, intended for time-travellers in the future who want to do Linux kernel vulnerability research. Specifically, I hope beginners will learn from my VR workflow and the seasoned researchers will learn from my techniques. In this blogpost, I'm discussing a bug I found in nf_tables in the Linux

                                                      • Monitoring network traffic in AWS Lambda functions | Amazon Web Services

                                                        AWS Compute Blog Monitoring network traffic in AWS Lambda functions Network monitoring provides essential visibility into cloud application traffic patterns across large organizations. It enables security and compliance teams to detect anomalies and maintain compliance, while allowing development teams to troubleshoot issues, optimize performance, and track costs in multi-tenant software as a serv

                                                          Monitoring network traffic in AWS Lambda functions | Amazon Web Services
                                                        • GitHub - taishi-i/awesome-ChatGPT-repositories: A curated list of resources dedicated to open source GitHub repositories related to ChatGPT and OpenAI API

                                                          awesome-chatgpt-api - Curated list of apps and tools that not only use the new ChatGPT API, but also allow users to configure their own API keys, enabling free and on-demand usage of their own quota. awesome-chatgpt-prompts - This repo includes ChatGPT prompt curation to use ChatGPT better. awesome-chatgpt - Curated list of awesome tools, demos, docs for ChatGPT and GPT-3 awesome-totally-open-chat

                                                            GitHub - taishi-i/awesome-ChatGPT-repositories: A curated list of resources dedicated to open source GitHub repositories related to ChatGPT and OpenAI API
                                                          • How Zapier runs isolated tasks on AWS Lambda and upgrades functions at scale | Amazon Web Services

                                                            AWS Architecture Blog How Zapier runs isolated tasks on AWS Lambda and upgrades functions at scale Zapier is a leading no-code automation provider whose customers use their solution to automate workflows and move data across over 8,000 applications such as Slack, Salesforce, Asana, and Dropbox. Zapier runs these automations through integrations called Zaps, which are implemented using a serverless

                                                              How Zapier runs isolated tasks on AWS Lambda and upgrades functions at scale | Amazon Web Services
                                                            • Build secure multi-account multi-VPC connectivity for your applications with Amazon VPC Lattice | Amazon Web Services

                                                              Networking & Content Delivery Build secure multi-account multi-VPC connectivity for your applications with Amazon VPC Lattice Introduction In this blog post, we will discuss how you can use Amazon VPC Lattice to connect your services securely, and monitor communication flows, in a simple and consistent way across instances, containers, and serverless, in a multi-account and multi-Virtual Private C

                                                                Build secure multi-account multi-VPC connectivity for your applications with Amazon VPC Lattice | Amazon Web Services
                                                              • Data Engineer: Interview Questions

                                                                Here is a list of common data engineering interview questions, with answers, which you may encounter for an interview as a data engineer. The questions during an interview for a data engineer aim to check not only the grasp of data systems and architectures but also a keen understanding of your technical prowess and problem-solving skills. This article lists essential interview questions and answe

                                                                  Data Engineer: Interview Questions
                                                                • A History of the Future, 2025-2040 — LessWrong

                                                                  This is an all-in-one crosspost of a scenario I originally published in three parts on my blog, No Set Gauge. Links to the originals: A History of the Future, 2025-2027A History of the Future, 2027-2030A History of the Future, 2030-2040 Thanks to Luke Drago, Duncan McClements, Theo Horsley, and Bilal Chughtai for comments. 2025-2027Below is part 1 of an extended scenario describing how the future

                                                                    A History of the Future, 2025-2040 — LessWrong
                                                                  • Debunking zswap and zram myths

                                                                    tl;dr: If in doubt, prefer to use zswap. Only use zram if you have a highly specific reason to. In terms of architecture: zswap sits in front of your disk swap, compresses pages in RAM, and automatically tiers cold data to disk. It integrates directly with the kernel's memory management and distributes pressure gracefully. zram is a compressed RAM block device with a hard capacity limit. When you

                                                                      Debunking zswap and zram myths
                                                                    • 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

                                                                        A layered approach to MLOps
                                                                      • How uv Works Under the Hood | Noos - Where Thought, Code, and Craft Converge

                                                                        I started using uv because the benchmarks seemed too good to be true—10–100x faster than pip, resolves and installs in milliseconds. After reading the source code and the official resolver internals documentation, I understand why, and the answers are more interesting than just "it's written in Rust." This post traces every layer: from the repository structure, through what literally happens when

                                                                          How uv Works Under the Hood | Noos - Where Thought, Code, and Craft Converge
                                                                        • Codified Context: Infrastructure for AI Agents in a Complex Codebase

                                                                          Codified Context: Infrastructure for AI Agents in a Complex Codebase Aristidis Vasilopoulos Independent Researcher USA arisvas4@gmail.com Abstract LLM-based agentic coding assistants lack persistent memory: they lose coherence across sessions, forget project conventions, and repeat known mistakes. Recent studies characterize how develop- ers configure agents through manifest files, but an open cha

                                                                          • FreeSimpleGUI

                                                                            FreeSimpleGUI User Interfaces for Humans - Transforms tkinter, Qt, Remi, WxPython into portable people-friendly Pythonic interfaces The Call Reference Section Moved to here This manual is under construction as we adapt changes to FreeSimpleGUI and make simplifications. Some links may not work as expected. References to "PySimpleGUI" can safely be assumed to be interchangable with "FreeSimpleGUI" J

                                                                            • Modular Monolith and Microservices: Modularity is what truly matters

                                                                              Get the Binary Log Newsletter - deep dives, broad explorations and distilled insights. For curious developers driven to master the craft: ModularityModularity is a crucial concept when designing and creating software. Independent of whether our chosen architecture style is to have: single unit of deployment - Monolith many units of deployment - Microservices/Services Modularity is a quality that s

                                                                                Modular Monolith and Microservices: Modularity is what truly matters
                                                                              • 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

                                                                                  Python Interview Questions
                                                                                • Understanding and Remediating Cold Starts: An AWS Lambda Perspective | Amazon Web Services

                                                                                  AWS Compute Blog Understanding and Remediating Cold Starts: An AWS Lambda Perspective Cold starts are an important consideration when building applications on serverless platforms. In AWS Lambda, they refer to the initialization steps that occur when a function is invoked after a period of inactivity or during rapid scale-up. While typically brief and infrequent, cold starts can introduce addition

                                                                                    Understanding and Remediating Cold Starts: An AWS Lambda Perspective | Amazon Web Services