How to build reliable AI workflows with agentic primitives and context engineering
See how this three-part framework will turn AI into a repeatable and reliable engineering practice.
The post How to build reliable AI workflows with agentic primitives and context engineering appeared first on [The GitHub Blog]( … ⌘ Read more
KubeCon + CloudNativeCon North America 2025 Co-Located Event Deep Dive: Cloud Native + Kubernetes AI Day
Cloud Native & Kubernetes AI Day is welcoming the AI/ML and High Performance Computing (HPC) communities. Since 2022 there have been multiple dedicated events (Batch / HPC and Cloud Native AI days) but given the overlap… ⌘ Read more
Chatbots work best when you speak to them with formal language
Are you terse and informal when speaking to an AI chatbot? If so, you might be getting worse answers than if you used more formal language ⌘ Read more
** How to Use AI to Learn Bug Hunting & Cybersecurity Like a Pro (in 2025)**
Hey there 👋,
I’m Vipul, the mind behind The Hacker’s Log — where I break down the hacker’s mindset, tools, and secrets 🧠💻
[Continue reading … ⌘ Read more
Microsoft only lets you opt out of AI photo scanning 3x a year
Article URL: https://hardware.slashdot.org/story/25/10/11/0238213/microsofts-onedrive-begins-testing-face-recognizing-ai-for-photos-for-some-preview-users
Comments URL: [https://news.ycombinator.com/item?id=45551504](https … ⌘ Read more
Orange Pi Previews Orange Pi 6 Plus with 12-core architecture and dual 5G Ethernet ports
Orange Pi has introduced the Orange Pi 6 Plus, a single-board computer intended for high-performance and AI-oriented computing tasks. It uses the CIX CD8180/CD8160 SoC with a 12-core 64-bit CPU and an NPU rated at up to 45 TOPS. The SoC includes a 12-core architecture paired with an integrated graphics processor supporting hardware-accelerated ray tracing […] ⌘ Read more
Beyond the AI Hype: Guido van Rossum on Python’s Philosophy, Simplicity, and the Future of Programming
Comments ⌘ Read more
Fedora’s “AI” policy process highlights rift between IBM/Red Hat and Fedora
A lot of open source projects are struggling what to do with the “AI” bubble, and Fedora is no different. This whole past year, the project’s been struggling to formulate any official policies on the use of “AI”, and LWN.net’s Joe Brockmeier has just done an amazing job summarising the various positions, opinions, and people influencing this process. His conclusion: There appears to b … ⌘ Read more
A blueprint for zero-trust AI on Kubernetes
LLMs and AI are everywhere these days. Everyone wants to build the next big thing, ship it fast, and maybe even cash out and chill for the rest of their lives. The problem? Most open source… ⌘ Read more
How to Add MCP Servers to Claude Code with Docker MCP Toolkit
AI coding assistants have evolved from simple autocomplete tools into full development partners. Yet even the best of them, like Claude Code, can’t act directly on your environment. Claude Code can suggest a database query, but can’t run it. It can draft a GitHub issue, but can’t create it. It can write a Slack message,… ⌘ Read more
Unbelievable Security Hole: JWT Secret in a Series-B Funded Company
It started as a routine penetration test. Little did I know I was about to uncover one of the most basic yet catastrophic security…
[Continue reading on … ⌘ Read more
It happened.
“Can you help me debug this program? I vibe coded it and I have no idea what’s going on. I had no choice – learning this new language and frameworks would have taken ages, and I have severe time constraints.”
Did I say “no”? Of course not, I’m a “nice guy”. So I’m at fault as well, because I endorsed this whole thing. The other guy is also guilty, because he didn’t communicate clearly to his boss what can be done and how much time it takes. And the boss and his bosses are guilty a lot, because they’re all pushing for “AI”.
The end result is garbage software.
This particular project is still relatively small, so it might be okay at the moment. But normalizing this will yield nothing but garbage. And actually, especially if this small project works out fine, this contributes to the shittiness because management will interpret this as “hey, AI works”, so they will keep asking for it in future projects.
How utterly frustrating. This is not what I want to do every day from now on.
💻 Issue 490 - Make Illegal AI Edits Unrepresentable ⌘ Read more
Cloud Native Computing Foundation Announces Knative’s Graduation
Graduation marks Knative’s readiness for widespread production use, with upcoming features aimed at bridging legacy systems and expanding AI and cloud native integrations Key Highlights: SAN FRANCISCO, Calif. – October 8, 2025 – The Cloud Native… ⌘ Read more
Unlocking Local AI on Any GPU: Docker Model Runner Now with Vulkan Support
Running large language models (LLMs) on your local machine is one of the most exciting frontiers in AI development. At Docker, our goal is to make this process as simple and accessible as possible. That’s why we built Docker Model Runner, a tool to help you download and run LLMs with a single command. Until… ⌘ Read more
AI advance helps astronomers spot cosmic events with just a handful of examples
A new study co-led by the University of Oxford and Google Cloud has shown how general-purpose AI can accurately classify real changes in the night sky—such as an exploding star, a black hole tearing apart a passing star, a fast-moving asteroid, or a brief stellar flare from a compact star system—and explain its reasoning, without the need for complex training. ⌘ Read more
Arduino UNO Q Combines Qualcomm Dragonwing QRB2210 and STM32 MCU
Qualcomm Technologies has announced its plan to acquire Arduino, marking a major development in the embedded and maker ecosystems. The acquisition aims to combine Qualcomm’s edge computing and AI expertise with Arduino’s large developer community and open hardware approach. As part of the announcement, both companies introduced the Arduino UNO Q, a new dual-processor development […] ⌘ Read more
How GitHub Copilot enabled accessibility governance process improvements in record time
See how we turned weekly accessibility grade signals into an automated, accountable remediation workflow—powered by GitHub Copilot and cross‑functional collaboration.
The post [How GitHub Copilot enabled accessibility governance process improvements in record time](https://github.blog/ai-and-ml/github-copilot/how-we-automated-accessibility-compliance-in-five-h … ⌘ Read more
Powered by Docker: How Open Source Genius Cut Entropy Debt with Docker MCP Toolkit and Claude Desktop
This is part of the Powered by Docker series, where we feature use cases and success stories from Docker partners and practitioners. This story was contributed by Ryan Wanner. Ryan has more than fifteen years of experience as an entrepreneur and 3 years in AI space developing software and is the founder of Open Source… ⌘ Read more
The developer role is evolving. Here’s how to stay ahead.
AI is changing how software gets built. Explore the skills you need to keep up and stand out.
The post The developer role is evolving. Here’s how to stay ahead. appeared first on The GitHub Blog. ⌘ Read more
The case against generative AI: the numbers just don’t add up (i.e., it’s a scam)
Every single “vibe coding is the future,” “the power of AI,” and “AI job loss” story written perpetuates a myth that will only lead to more regular people getting hurt when the bubble bursts. Every article written about OpenAI or NVIDIA or Oracle that doesn’t explicitly state that the money doesn’t exist, that the revenues are impossible, that one of the companies involved bur … ⌘ Read more
Deloitte to refund Australian government after delivering report that used AI and cited non-existent sources ⌘ Read more
Docker at AI Engineer Paris: Build and Secure AI Agents with Docker
Last week, Docker was thrilled to be part of the inaugural AI Engineer Paris, a spectacular European debut that brought together an extraordinary lineup of speakers and companies. The conference, organized by the Koyeb team, made one thing clear: the days of simply sprinkling ‘AI dust’ on applications are over. Meaningful results demand rigorous engineering,… ⌘ Read more
AI and Home-Cooked Software
https://mrkaran.dev/posts/ai-home-cooked-software/
Radxa Announces Fogwise AIRbox Q900 for Industrial Edge AI
Radxa has announced the Fogwise AIRbox Q900, a rugged edge AI system powered by Qualcomm’s IQ-9075 processor. The compact unit delivers high-performance compute with industrial reliability, targeting real-time inference in manufacturing, robotics, smart cities, and research. The AIRbox Q900 is powered by the Qualcomm IQ-9075 SoC. It integrates an octa-core Kryo Gen 6 CPU based […] ⌘ Read more
Potential issues in curl found using AI assisted tools
https://joshua.hu/llm-engineer-review-sast-security-ai-tools…
https://joshua.hu/files/AI_SAST_PRESENTATION.pdf
Comments URL: https://news.ycombinator.com/item?id=45449348
Points: 527
# Comments: 169 ⌘ Read more
From Shell Scripts to Science Agents: How AI Agents Are Transforming Research Workflows
It’s 2 AM in a lab somewhere. A researcher has three terminals open, a half-written Jupyter notebook on one screen, an Excel sheet filled with sample IDs on another, and a half-eaten snack next to shell commands. They’re juggling scripts to run a protein folding model, parsing CSVs from the last experiment, searching for literature,… ⌘ Read more
Spec-driven development: Using Markdown as a programming language when building with AI
I coded my latest app entirely in Markdown and let GitHub Copilot compile it into Go. This resulted in cleaner specs, faster iteration, and no more context loss. ✨
The post [Spec-driven development: Using Markdown as a programming language when building with AI](https://github.blog/ai-and-ml/generative-ai/spec-driven-development-using-markdown-as-a-p … ⌘ Read more
Docker MCP Toolkit: MCP Servers That Just Work
Today, we want to highlight Docker MCP Toolkit, a free feature in Docker Desktop that gives you access to more than 200 MCP servers. It’s the easiest and most secure way to run MCP servers locally for your AI agents and workflows. The MCP toolkit allows you to isolate MCP servers in containers, securely configure… ⌘ Read more
MSI EdgeXpert Compact AI Supercomputer Based on NVIDIA DGX Spark
The MSI EdgeXpert is a compact AI supercomputer based on the NVIDIA DGX Spark platform and Grace Blackwell architecture. It combines a 20-core Arm CPU with NVIDIA’s Blackwell GPU to deliver high compute density in a 1.19-liter form factor, targeting developers, researchers, and enterprises running local AI workloads, prototyping, and inference. The EdgeXpert achieves up […] ⌘ Read more
The Trust Paradox: When Your AI Gets Catfished
The fundamental challenge with MCP-enabled attacks isn’t technical sophistication. It’s that hackers have figured out how to catfish your AI. These attacks work because they exploit the same trust relationships that make your development team actually functional. When your designers expect Figma files from agencies they’ve worked with for years, when your DevOps folks trust… ⌘ Read more
Run, Test, and Evaluate Models and MCP Locally with Docker + Promptfoo
Promptfoo is an open-source CLI and library for evaluating LLM apps. Docker Model Runner makes it easy to manage, run, and deploy AI models using Docker. The Docker MCP Toolkit is a local gateway that lets you set up, manage, and run containerized MCP servers and connect them to AI agents. Together, these tools let… ⌘ Read more
Using AI to map hope for refugees with UNHCR, the UN Refugee Agency
With the help of GitHub, UNHCR turned drone imagery into maps — helping refugees in Kakuma and Kalobeyei build sustainable, powered communities.
The post Using AI to map hope for refugees with UNHCR, the UN Refugee Agency appeared first on [The GitHub Blog](https://github. … ⌘ Read more
A step-by-step guide to modernizing Java projects with GitHub Copilot agent mode
Learn how to use GitHub Copilot agent mode to modernize legacy Java projects with guided upgrades, automated fixes, and cloud-ready migrations.
The post A step-by-step guide to modernizing Java projects with GitHub Copilot agent mode … ⌘ Read more
MCP Horror Stories: The Drive-By Localhost Breach
This is Part 4 of our MCP Horror Stories series, where we examine real-world security incidents that expose the devastating vulnerabilities in AI infrastructure and demonstrate how Docker MCP Gateway provides enterprise-grade protection against sophisticated attack vectors. The Model Context Protocol (MCP) has transformed how developers integrate AI agents with their development environments. Tools like… ⌘ Read more
Gartner positions GitHub as a Leader in the 2025 Magic Quadrant for AI Code Assistants for the second year in a row
Our commitment is to empower every developer and stay true to our north star by building an open, secure, and AI-powered platform that defines the future of software development.
The post [Gartner positions GitHub as a Leader in the 2025 Magic Quadrant for AI Code Assistants for the second yea … ⌘ Read more
Beyond Containers: llama.cpp Now Pulls GGUF Models Directly from Docker Hub
The world of local AI is moving at an incredible pace, and at the heart of this revolution is llama.cpp—the powerhouse C++ inference engine that brings Large Language Models (LLMs) to everyday hardware (and it’s also the inference engine that powers Docker Model Runner). Developers love llama.cpp for its performance and simplicity. And we at… ⌘ Read more
Since Google announced their intentions to heavily limit sideloading on Android, starting end of 2026, I’ve been looking for potential solutions, for this policy change, that threatens the majority of projects I maintain, in some way. Google already killed my browser project years ago, but I have no other choice, than to fight this, any way I can.
The best choice to deal with this, will probably be the Android Debug Bridge, which can be used not only to install apps unrestricted, but also to uninstall, or remove, almost any unnecessary part of the OS. Shizuku, combined with Canta Debloater, is the winning combination for now.
I’ve already removed most Google apps from my device: the annoying AI assistant, the stupid Google app adding the annoying articles, left of your homes screen, Google One, Gboard, Safety app… it’s amazing, no distracting Google slopware, like in the good old Android 2 days! And I absolutely intend to keep it this way, from now on, no new Google apps or services on my devices, unless Google can give me a good enough reason, to allow them there and whenever the app that verifies signatures, to block installing apps not approved by Google, I’ll just remove it from my device and advocate others do so too.
How about no longer using in-browser Git repo viewers? Make the AI bots do the work and actually clone the repo.
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Well, that was fascinating: https://www.youtube.com/watch?v=LxNq8zOEbM8
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@movq@www.uninformativ.de Interesting, yes. I didn’t know that.
No AI being used is really great. However, the same clips shown over and over again and some images being mirrored was quite annoying to me. Also, there were some quite terrible computer animations and sometimes the narration and picture didn’t match at all. Talking about the medieval period and then showing an image from the 18th hundred or so. What the heck?
These production issues made me sceptical pretty much early on. So I quickly crosschecked Wikipedia. But it seems spot on from what I’ve read. Very good. Also, the narrator’s voice was really nice to listen to.
Eels are fascinating creatures. :-)
How Generative AI Video Works - Computerphile ⌘ Read more
Hmm, gnu.org is slow as heck. Shorter HTML pages load in about ten seconds. This complete AWK manual all in one large HTML page took a full minute: https://www.gnu.org/software/gawk/manual/gawk.html Is there maybe some anti AI shenanigans going on?
In any case, I find the user guide super interesting. My AWK skills are basically non-existent, so I finally decided to change that. This document is incredibly well written and makes it really fun to keep reading and learning. I’m very impressed. So far, I made it to section 1.6, happy to continue.
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@movq Right now I'm basically just blocking entire ASN(s) at this point and large blocks of IP(s) from Anthropic, OPenAI, Microsoft and others.
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@prologic@twtxt.net I’m doing that now as well, but I don’t think this is a good solution. This is going to hurt “self-hosting” in the long run: I cannot afford true self-hosting where I actually do host everything here at home – instead, I must use a cloud provider / VPS for that. It is only a matter of time until my provider starts doing AI shit as well (or rather, the customers do it) and then what? I get blocked, e.g. I can’t send email to (some) people anymore. This is already bad and it’s going to get worse.
Hahaha, how funny is that!? The Dunning-Kruger effect research was sparked off by two bank robbers who rubbed lemon juice in their faces as this makes them invisible, just like invisible ink. :‘-D https://en.wikipedia.org/wiki/1995_Greater_Pittsburgh_bank_robberies
I now imagine all these AI wankers with lemon juice in their faces.