From Production — week of 2026-11-09
Korea Advances Physical AI Across Industries With NVIDIA
NVIDIA
Tapping into the country’s strengths in manufacturing and engineering, NVIDIA is helping advance Korea’s physical AI ecosystem. The country’s industry leaders are applying accelerated computing, AI and simulation to everything from semiconductor manufacturing to robotics and autonomous vehicles. These efforts are helping bring physical AI from development into real-world production. Samsung Advances Semiconductor Engineering With […]
Korea’s AI Ecosystem Advances and Secures Agentic AI With NVIDIA
NVIDIA
As AI agents take on more work, they need capable open models and security that advances alongside them. Hyundai Motor Group is exploring NVIDIA NemoClaw blueprints and the NVIDIA OpenShell runtime, while AIM Intelligence is integrating its Starfort platform with NVIDIA OpenShell to support secure AI agents for employee productivity and enterprise workflows. A key […]
NWRUG's (Manchester, UK) November 2026 meeting — (Un)learning programming
Thoughtbot
The next North West Ruby User Group in Manchester, UK is in a fortnight on 19 November at Colony, One Silk Street. Sam Péchèr will reflect on starting out as a junior last year, just as the industry started to shift to not writing code. We’ll be at the venue for pizza from 6:30pm with the talk starting at 7pm. Afterwards we’ll retire to The Crown & Kettle for a drink. The venue, pizza, and drinks are kindly provided by NWRUG’s sponsors Fatsoma and thoughtbot. Register here if you would like to attend. Full details on this (and all NWRUG events) over on NWRUG’s website. If you enjoyed this…
Coming Soon: Using AI for CI & Automation in iOS Projects [SUBSCRIBER]
Kodeco
This module focuses on the automation side of agentic development, looking at what changes when an AI reviewer becomes part of your iOS continuous integration pipeline. Rather than treating CI as something that only builds and tests, you’ll integrate agentic code review so every pull request receives automated feedback before a human opens it, and compare how several AI review tools perform in the same workflow. Just as important is what you do with the results: reading the feedback critically, deciding which comments deserve action and which are noise, and understanding where this approach…
Real-Time Java: Control Loops the Garbage Collector Never Stops
CodeName One
What real time means, why garbage collection makes it hard, and how Codename One runs a 1 kHz Java control loop that the collector never stops.
From Chips to Skills, NVIDIA and Korea Expand Sovereign AI Collaboration
NVIDIA
NVIDIA and Korea’s Ministry of Science and ICT (MSIT) are expanding their collaboration across the country’s sovereign AI ecosystem, from AI semiconductors and data center infrastructure to talent, startups, models, agents and security. The collaboration lays the groundwork for Korean NPU and XPU companies to explore participation in the NVIDIA NVLink Fusion ecosystem, and includes […]
NVIDIA Dynamo Recipes Bring Korea’s Leading Open Models to Production
NVIDIA
NVIDIA is releasing Dynamo-optimized deployment recipes for Korea’s leading open models: A.X K2 from SK Telecom, K-EXAONE 2.0 from LG AI Research, Solar Open 2 from Upstage and Motif-3 from Motif Technologies. As models grow beyond the capacity of a single GPU, they must be split across multiple GPUs, requiring careful coordination of request routing […]
RIP, Harvest
Kyle Kingsbury
I’ve been a self-employed contractor for about a decade now, and I’m bummed about Harvest. Harvest was a time-tracking and invoicing service. You’d track how many hours or weeks you spent on a project, put together an invoice, email it to the client, and close it out when they paid. There was a little Stripe integration for accepting credit and ACH payments on the invoice web view. A historical chart of total billed/paid amounts over time, and a table of invoices. Harvest was exactly what you want from small-business software: it solved a well-defined problem with a reliable, simple…
New course: Introduction to agentic coding with Claude Code
Lerner Consulting Blog
I’m excited to announce my newest course, Introduction to agentic coding with Claude Code (https://lernerpython.com/courses/intro-agentic-coding-claude-code/). If you want to go beyond giving simple prompts or using Claude Code in trivial […] The post New course: Introduction to agentic coding with Claude Code appeared first on LernerPython.
Using Python's pip to Manage Your Projects' Dependencies
Real Python
pip is the standard package manager for Python, used to install and manage libraries that aren’t part of the Python standard library. You use pip to manage dependencies and install packages from the Python Package Index (PyPI). You can verify if you have pip by using commands like where pip3 on Windows or which pip3 on Linux and macOS. To install packages listed in a requirements.txt file, use the command pip install -r requirements.txt. This ensures your environment replicates the specified dependencies, maintaining consistency across different setups. By the end of this tutorial, you’ll…
Get this weekly — one click to unsubscribe, always.