Experimenting with GitHub Copilot Pro in a Django Project| Kartones' Blog
6 Fast Takeaways from Salesforce Dreamforce 2025 Dreamforce 2025 was a whirlwind of innovation, insight, and inspiration. From AI breakthroughs to unforgettable experiences, here are my six biggest takeaways from this year’s conference. And if you're looking for our Smartbridge Dreamforce digital swag, you can find it here > [...] The post Salesforce Dreamforce 2025 – 6 Fast Takeaways appeared first on Smartbridge.| Smartbridge
Getting Started with Salesforce Agentforce: Simple Wins That Build Momentum These simple Agentforce use cases show how getting starting small delivers quick wins, builds internal support, and sets the stage for bigger AI-driven impact. When you first hear about Salesforce Agentforce, it can feel like “too [...] The post Getting Started with Salesforce Agentforce: Simple Wins That Build Momentum appeared first on Smartbridge.| Smartbridge
GenAI to Support Accurate Regulatory Affairs in MedTech Smartbridge Use Case Collection Life Sciences / Healthcare Apply GenAI in MedTech Regulatory Affairs with human-in-the-loop oversight for core tasks. Smartbridge’s solution provides the right technical, business, and regulatory competencies with an [...] The post Use Case: GenAI to Support Accurate Regulatory Affairs in MedTech appeared first on Smartbridge.| Smartbridge
For Life science, AI acts as a silent partner to R&D teams, speeding up the path from research to regulated production.| Smartbridge
Have you ever thought about using AI to update community health files for your repositories? This blog shares actionable next steps for doing just that, including a starter kit with a checklist and tutorials on how to create three useful files. The post How to update community health files with AI appeared first on The GitHub Blog.| The GitHub Blog
Discover how GitHub Copilot has evolved from a high-powered autocomplete tool to a powerful, multi-model agentic assistant. The post Copilot: Faster, smarter, and built for how you work now appeared first on The GitHub Blog.| The GitHub Blog
GitHub Copilot and AI agents are making legacy COBOL systems accessible to modern developers. The post How GitHub Copilot and AI agents are saving legacy systems appeared first on The GitHub Blog.| The GitHub Blog
Discover how to use GitHub Copilot directly in the terminal. From cloning a repository to opening a pull request, here’s how to streamline your workflow with Copilot CLI. The post GitHub Copilot CLI: How to get started appeared first on The GitHub Blog.| The GitHub Blog
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.| The GitHub Blog
This article is part of a series on the Sens-AI Framework—practical habits for learning and coding with AI. AI-assisted coding is here to stay. I’ve seen many companies now require all developers to install Copilot extensions in their IDEs, and teams are increasingly being measured on AI-adoption metrics. Meanwhile, the tools themselves have become genuinely […]| Radar
“Strange was obliged to invent most of the magic he did, working from general principles and half-remembered stories from old books.” — Susanna Clarke, Jonathan Strange & Mr Norrell Fairy tales, myths, and fantasy fiction are full of magic spells. You say “abracadabra” and something profound happens.1 Say “open sesame” and the door swings open. […]| Radar
In a fascinating op-ed, David Bell, a professor of history at Princeton, argues that “AI is shedding enlightenment values.” As someone who has taught writing at a similarly prestigious university, and as someone who has written about technology for the past 35 or so years, I had a deep response. Bell’s is not the argument […]| Radar
The agentic AI landscape is exploding. Every new framework, demo, and announcement promises to let your AI assistant book flights, query databases, and manage calendars. This rapid advancement of capabilities is thrilling for users, but for the architects and engineers building these systems, it poses a fundamental question: When should a new capability be a […]| Radar
A common misconception about O’Reilly is that we cater only to the deeply technical learner. While we’re proud of our deep roots in the tech community, the breadth of our offerings, both in books and on our learning platform, has always aimed to reach a broader audience of tech-adjacent and tech-curious people who want to […]| Radar
This article originally appeared on Medium. Tim O’Brien has given us permission to repost here on Radar. When you’re working with AI tools like Cursor or GitHub Copilot, the real power isn’t just having access to different models—it’s knowing when to use them. Some jobs are OK with Auto. Others need a stronger model. And […]| Radar
Teaching developers to work effectively with AI means building habits that keep critical thinking active while leveraging AI’s speed. But teaching these habits isn’t straightforward. Instructors and team leads often find themselves needing to guide developers through challenges in ways that build confidence rather than short-circuit their growth. (See “The Cognitive Shortcut Paradox.”) There are […]| Radar
From Autocomplete to Agents: Analyzing 90 Tools from Industry and Academia| O’Reilly Media
Agentic AI is transforming automation from static responses to dynamic action. See how we are making intelligent agents enterprise-ready| Smartbridge
Explore a Use Case modeling how Life Science EHS Operations can benefit from Agentic AI for Collaboration, featuring Microsoft Copilot.| Smartbridge
The FireBeetle 2 ESP32-P4 is a development board designed around Espressif’s ESP32-P4 microcontroller. Unlike previous ESP32 series chips, the P4 is optimized as a high-performance … The post Getting Started with FireBeetle 2 ESP32-P4 board appeared first on Makerguides.com.| Makerguides.com
Getting started with the MaTouch AI ESP32S3 2.8" TFT ST7789V. Code examples for the TFT display, camera, microphone, SD Card and RGB LED.| Makerguides.com
This article is part of a series on the Sens-AI Framework—practical habits for learning and coding with AI. AI gives novice developers the ability to skip the slow, messy parts of learning. For experienced developers, that can mean getting to a working solution faster. Developers early in their learning path, however, face what I call […]| Radar
This is the first of a three-part series by Markus Eisele. Stay tuned for the follow-up posts. AI is everywhere right now. Every conference, keynote, and internal meeting has someone showing a prototype powered by a large language model. It looks impressive. You ask a question, and the system answers in natural language. But if […]| Radar
When I was eight years old, I watched a mountaineering documentary while waiting for the cricket match to start. I remember being incredibly frustrated watching these climbers inch their way up a massive rock face, stopping every few feet to hammer what looked like giant nails into the mountain. “Why don’t they just climb faster?” […]| Radar
The productivity gains from AI tools are undeniable. Development teams are shipping faster, marketing campaigns are launching quicker, and deliverables are more polished than ever. But if you’re a technology leader watching these efficiency improvements, you might want to ask yourself a harder question: Are we building a more capable organization, or are we unintentionally […]| Radar
Mapping Power, Concentration, and Usage in the Emerging AI Developer Ecosystem| O’Reilly Media
Explore how Azure AI Foundry multi-agent systems enable enterprises to build digital workforces that handle complex workflows.| Smartbridge
We'll explain why a strong data foundation is critical to getting reliable, secure results from AI across your organization.| Smartbridge
The post How Machine Monitoring Solutions Revolutionize Your Industry? appeared first on IoT | AI | Embedded Product Development Company.| IoT | AI | Embedded Product Development Company
Build voice control app with XIAO-ESP32-S3-Sense and Edge Impulse. Switch LEDs via voice commands using a TinyML keyword spotting model.| Makerguides.com
What the Computerization of Wall Street Can Teach Us About AI| O’Reilly Media
Agentic DevOps isn’t just a productivity boost. It’s a shift in how software projects are delivered. Projects that used to take weeks can now move at the pace of days.| Smartbridge
Learn how to integrate AI features with GitHub Models directly in GitHub Actions workflows.| The GitHub Blog
Edge AI to detect the number of persons in a room (occupancy) using a XIAO ESP32-S3-Sense and an ESP32 lite| Makerguides.com
How to use the SenseCraft AI platform to deploy and run a Face Detection model on a XIAO ESP32-S3-Sense microcontroller| Makerguides.com
Implement a web server on an ESP32-CAM module to capture and serve images and use the YOLO object detection system to classify objects.| Makerguides.com
Explore the Use cases of generative AI in e-commerce, from personalized recommendations and customer support to fraud detection. Learn trends and benefits!| citrusbugtechnolabs
The Replacement of Organic Search with Advertising by Google and Amazon and What That Might Mean for the Future of AI| O’Reilly Media
Thoughts about the outcome of the NYT versus OpenAI copyright lawsuit| O’Reilly Media
Generative AI has been the biggest technology story of 2023. Almost everybody’s played with ChatGPT, Stable Diffusion, GitHub Copilot, or Midjourney. A few have even tried out Bard or Claude, or run LLaMA1 on their laptop. And everyone has opinions about how these language models and art generation programs are going to change the nature of work, usher in the singularity, or perhaps even doom the human race. In enterprises, we’ve seen everything from wholesale adoption to policies that se...| O’Reilly Media
How to set up your own Ubuntu instance of “neural-style”, the deep neural network that makes fine art!| Reflections