Google's Gemini chatbot can now more easily analyze GitHub projects
Gemini, Google's AI-powered chatbot, can now connect to GitHub — for users subscribed to the $20-per-month Gemini Advanced plan, that is.
As of Wednesday, Gemini Advanced customers can directly add a public or private codebase on GitHub to Gemini to allow the chatbot to generate and explain code, debug existing code, and more. Users can connect GitHub to Gemini by clicking the '+' button in the prompt bar, selecting 'import code,' and pasting a GitHub URL.
Gemini Advanced now connects with @github, making it a more powerful coding assistant.
Directly connect to public or private GitHub repos to generate/modify functions, explain complex code, ask questions about your codebase, debug and more.
Click the + button in the prompt bar,… pic.twitter.com/EgItxk6hd7 — Google Gemini App (@GeminiApp) May 14, 2025
A word of warning: AI models, including Google's, still struggle to code quality software. Code-generating AI tends to introduce security vulnerabilities and errors, owing to weaknesses in areas like the ability to understand programming logic. One recent evaluation of Devin, a popular AI coding tool, found that it could only complete three out of 20 programming tests.
The new GitHub integration arrives just a few days after OpenAI launched a GitHub connector for ChatGPT deep research, a tool that searches across the web and other sources to compile thorough research reports on a topic. AI companies, including Google and OpenAI, are moving quickly to ship new capabilities in an effort to make their products stand out in an increasingly crowded field.
Case in point, OpenAI on Tuesday brought SharePoint and Microsoft OneDrive connectors to ChatGPT deep research.
Hashtags
Try Our AI Features
Explore what Daily8 AI can do for you:
Comments
No comments yet...
Related Articles
Yahoo
an hour ago
- Yahoo
Here's how Uber's product chief uses AI at work — and one tool he's going to use next
Uber's product chief said he uses AI to summarize lengthy reports and do research before launches. Sachin Kansal uses ChatGPT and Gemini to understand Uber's performance in overseas markets. He plans to add Google's NotebookLM to his AI suite. Uber's chief product officer has one AI tool on his to-do list. In an episode of "Lenny's Podcast" released on Sunday, Uber's product chief, Sachin Kansal, shared two ways he is using AI for his everyday tasks at the ride-hailing giant and how he plans to add NotebookLM to his AI suite. Kansal joined Uber eight years ago as its director of product management after working at cybersecurity and taxi startups. He became Uber's product chief last year. Kansal said he uses OpenAI's ChatGPT and Google's Gemini to summarize long reports. "Some of these reports, they're 50 to 100 pages long," he said. "I will never have the time to read them." He said he uses the chatbots to acquaint himself with what's happening and how riders are feeling in Uber's various markets, such as South Africa, Brazil, and Korea. The CPO said his second use case is treating AI like a research assistant, because some large language models now offer a deep research feature. Kansal gave a recent example of when his team was thinking about a new driver feature. He asked ChatGPT's deep research mode about what drivers may think of the add-on. "It's an amazing research assistant and it's absolutely a starting point for a brainstorm with my team with some really, really good ideas," the CPO said. In April, Uber's CEO, Dara Khosrowshahi, said that not enough of his 30,000-odd employees are using AI. He said learning to work with AI agents to code is "going to be an absolute necessity at Uber within a year." Uber did not immediately respond to a request for comment from Business Insider. On the podcast, Kansal also highlighted NotebookLM, Google Lab's research and note-taking tool, which is especially helpful for interacting with documents. He said he doesn't use the product yet, but wants to. "I know a lot of people who have started using it, and that is the next thing that I'm going to use," he said. "Just to be able to build an audio podcast based on a bunch of information that you can consume. I think that's awesome," he added. Kansal was referring to the "Audio Overview" feature, which summarizes uploaded content in the form of two AIs having a voice discussion. NotebookLM was launched in mid-2023 and has quickly become a must-have tool for researchers and AI enthusiasts. Andrej Karpathy, Tesla's former director of AI and OpenAI cofounder, is among those who have praised the tool and its podcast feature. "It's possible that NotebookLM podcast episode generation is touching on a whole new territory of highly compelling LLM product formats," he said in a September post on X. "Feels reminiscent of ChatGPT. Maybe I'm overreacting." Read the original article on Business Insider Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data
Tom's Guide
an hour ago
- Tom's Guide
This ChatGPT ‘memory hack' changes everything — use these prompts to make it remember you
If you've ever found yourself reintroducing yourself, your tone preferences or even something as basic as your name to ChatGPT, you're not alone. While OpenAI's chatbot is famous for being smart, helpful and shockingly conversational, it's not always great at remembering what matters to you, which is why you might want to teach it. The good news is that ChatGPT actually has a memory feature that's smarter than most people realize, and there are a few tricks you can use to make it remember exactly what you want. Here's how to unlock ChatGPT's memory, plus a few sneaky hacks to get it acting like a real personal assistant. ChatGPT's memory is designed to remember helpful facts about you including your name, your job, your writing style and even your goals. Knowing these things can help the AI tailor responses over time. Think of it like your AI assistant building a mental file cabinet with your preferences inside. OpenAI first rolled out memory to GPT-4o users in early 2024, and now it's automatically turned on for most ChatGPT Plus users. But unless you're actively using it, or customizing it, you might not get the full benefit. To check if memory is on, go to Settings → Personalization → Memory. From there, you can view, edit or wipe everything ChatGPT has remembered about you. One of the simplest ways to store a fact in ChatGPT's memory is to literally prompt it to remember something. For example: Get instant access to breaking news, the hottest reviews, great deals and helpful tips. If memory is enabled, ChatGPT will usually respond with: 'Got it. I'll remember that for future chats.' If not, it may ask for permission to store that information. I've noticed that when I've asked ChatGPT to remember things, it doesn't always remember the first time. Sometimes, not even the second time. If you run into this problem, stay persistent and keep reminding ChatGPT to remember something until it actually does example, I once used ChatGPT Vision to help my mom match fabric for a project. From then on, ChatGPT thought I was a quilter. I had to tell the chatbot to forget that (much to my mom's dismay, I'm sure).Pro tip: You can also say 'Forget that' or 'Update my memory' if something changes — like your job or preferred tone. If you want to be sure it does not remember something, you can also use the temporary chat feature. Even if memory is off or you aren't a Plus subscriber, you can still simulate long-term memory using what I call the context chaining trick. Here's how: Start your prompt with: 'For the rest of this conversation, assume I'm a second grade teacher working on an end-of-year project for my students.' This doesn't persist across sessions, but it works surprisingly well for one-off tasks or multi-step projects. OpenAI makes it easy to see what ChatGPT has remembered — and yes, you should check it occasionally. Just type: 'What do you remember about me?' It'll respond with a summary of the info it has on file, like: 'You're a mom of three who juggles work, parenting and writing with a good sense of humor. You're no stranger to trampoline parks, fourth grade homework chaos or PTA drama. You're based in New Jersey, drive a Jeep and sometimes test AI tools for personal life (like IEP meetings or canceling gym memberships).' Here are a few fast rules to get the most out of ChatGPT's memory: ChatGPT won't magically know your preferences unless you teach it, but with memory, it can get surprisingly close. Whether you're writing a novel, planning a trip or just tired of repeating yourself, these memory hacks can turn ChatGPT into a genuinely helpful sidekick.
Forbes
an hour ago
- Forbes
What My Son Taught Me About The Future Of Work
The next generation workforce in the age of AI courtsey Redd Francisco I asked my son, who is graduating from college in a few weeks, to join me on my podcast series (link here). It was a fun, and personal, conversation - but brought out a larger, broader insight: there is an entirely new generation of our future workforce coming in - and they grew up with AI. This is the graduating class of 2025. They approach generative AI tools like ChatGPT and Cursor - not just to complete assignments - but to prototype ideas, streamline workflows, and write code more efficiently. For them, these tools aren't novelties; they're extensions of how they learn and solve problems. They think differently, work differently, and expect more from the companies they're about to join. Reflecting on the conversation, it's obvious that their technology stack looks very different from ours; the applications they use reflect the evolving landscape of personal productivity, shaping how the next generation will operate in the workplace. What is also striking is their agility with AI - they don't get attached to a single tool or platform for life, instead, thrive in a dynamic environment where continuous learning and iteration are the norm - constantly trying, testing and evolving to the next. This adaptability - the willingness to experiment, learn, and adjust - is a hallmark of this generation. And while they know not to blindly trust every AI-generated response, they also aren't discouraged by the occasional 'hallucinations.' Instead, they have learned to live with them, to work around them by truly understanding their own role as a human in the loop. It's a mindset that acknowledges both the promise and the limitations of AI - a balance that will be critical for organizations navigating this shift. This new generation workforce have grown up in an era where AI isn't just a concept—it's a daily companion. They enter the workforce with an intuitive grasp of how technology can enhance productivity and creativity. Tools like large language models, low-code platforms, and automated assistants are second nature to them. Their mindset isn't 'Will AI help me do my job?' - it's 'How can we use AI to make this process better, faster, and more impactful?' This creates a fascinating contrast with many in the existing workforce - while we've been debating the potential of AI and cautiously experimenting with its applications, this new workforce expects AI to be embedded, accessible, and essential. And that's not a gap to be feared - it's an opportunity to accelerate transformation. This influx of digitally fluent, AI-native talent is a real opportunity for organizations. It's a chance to rethink not just how we work - but how we lead, manage, and empower teams. The companies that will thrive aren't the ones trying to retrofit AI into legacy processes; it will be the ones willing to embrace new workflows, delegate more decision-making to automated systems, and create space for innovation at every level. And it isn't just about technology; this is about culture. It's about fostering an environment where fresh ideas are not just heard but celebrated, where employees can challenge norms and contribute to building smarter, more agile businesses. For those of us in leadership, this is a pivotal moment - the newest members of our workforce aren't waiting for permission to use AI, they're bringing it with them. The good news is this shift gives us a chance to leap forward, to move beyond incremental improvements and embrace true transformation. It challenges us to think bigger about what our companies can achieve when we empower people with the tools and the mindset to innovate. But more importantly, it's a call to honor the human spirit behind the technology - to empower people with the tools and culture they need to thrive. So as we welcome this new generation of our youngest workforce across our corporations, let's ask ourselves: Are we ready to match their expectations? And create workspaces that don't just accommodate AI but are built for it? Because the future isn't something we're waiting for. It's already here – and walking in through our doors with the now-graduating class of digitally-fluent talent that just happened to grow up with AI.
