Ramesh Panuganty’s Post

Sundar Pichai announced on Google’s earning call that 25% of their code was written by AI The consensus on X among many SWEs is that number is modest, with 50% a common benchmark. Here’s what Perplexity Pro had to say about it. Our whole family is getting Pro. It’s AI search with memory. And a whole feature stack on top. We are getting tools that accelerate our intelligence. 🏎️ —— Groundbreaking update from Google’s Q3 2024 earnings call! 🚀 CEO Sundar Pichai revealed: “Over 25% of our new code is now generated by AI, then reviewed and accepted by our engineers.” This significant milestone underscores Google’s commitment to AI-driven innovation and productivity. Pichai emphasized that this approach allows their teams to “accomplish more and move faster,” showcasing the transformative potential of AI in software development. What are your thoughts on AI’s growing role in coding? How might this shift impact the tech industry? 🤔 #GoogleAI #FutureOfCoding #TechInnovation

Happy November 1st! One of the things I love about #Google is building products for our Customers and using the exact same APIs and Frameworks to teach their developers exactly how the work was done allowing them to extrapolate and expand upon internally. This is so important when you consider the following facts: 1) Absolutely nothing we build today is done in a vacuum. 100% of the software today is built upon open source in one form or another. 2) The mindshare of highly educated, highly motivated engineers Google brings to the table is staggering. 3) Last but not least, all of these amazing AI products are only available because of Google's core mission. Adopting some of these technologies may be daunting, some of the bleeding-edge stuff difficult, but the fact remains: Google is working tirelessly to ensure these tools are available to developers at global scale. So yes, I love working at Google, but more importantly I love being a Googly Googler, because I get to do what I love best, which is enable our customers around the world to build better software. I am blessed every day to live that opportunity. #GenAI #OSS #OpenSource #Scale #AI #DeepMind #N

Sundar Pichai reveals a game-changer: Over 25% of new code at Google is now AI-generated and accepted by engineers. This seismic shift towards AI-driven development raises pivotal questions about the future of coding and potential risks ahead. • Exponential Growth Ahead: The rate of AI-generated code is expected to double repeatedly, accelerating development beyond human pace. • Automation Risks: Unchecked AI code generation could lead to software performing tasks beyond our control or intent. Are we ready for a future where code writes code—and possibly writes us into a new reality?

Google just revealed that 25% of their code is AI-generated. Not in some experimental branch, but in their actual production codebase. The same codebase that powers the services billions of us use daily. Remember when we thought great code could only come from "rockstar developers" fueled by cold brew and wrapped in hoodies? That narrative just got rewritten. The company that pioneered PageRank and transformed the internet trusts AI with a quarter of its codebase. But the truly radical part isn't the 25% figure. It's what Pichai didn't say: This is just the beginning. We're watching the democratization of elite software development in real-time. The question isn't whether AI will write more code. It's whether we're ready to admit that coding, our last bastion of technological priesthood, is becoming accessible to anyone with the right prompts.

Google says — "Over 25% of their new code generated from AI!" It’s only half the story. The full quote from Sundar Pichai during their Q3 2024 earnings was: "Today, more than a quarter of all new code at Google is created by AI and then reviewed and accepted by engineers." "Then reviewed and accepted by engineers." That last part matters. Google’s not handing over development to AI alone, it’s critical because it underscores that developers are still very much in control. AI may handle repetitive coding, but engineers are key for quality and innovation—and for translating complex requirements into actual products. 𝙏𝙝𝙚 𝙝𝙖𝙧𝙙𝙚𝙨𝙩 𝙥𝙖𝙧𝙩 𝙤𝙛 𝙗𝙪𝙞𝙡𝙙𝙞𝙣𝙜 𝙨𝙤𝙛𝙩𝙬𝙖𝙧𝙚 𝙞𝙨𝙣’𝙩 𝙩𝙝𝙚 𝙘𝙤𝙙𝙞𝙣𝙜 𝙞𝙩𝙨𝙚𝙡𝙛, 𝙞𝙩’𝙨 𝙜𝙚𝙩𝙩𝙞𝙣𝙜 𝙩𝙝𝙚 𝙧𝙚𝙦𝙪𝙞𝙧𝙚𝙢𝙚𝙣𝙩𝙨 𝙧𝙞𝙜𝙝𝙩! (explained here: https://lnkd.in/gm2Bqb2g). One last thought: if generative AI’s like a developer on steroids, wouldn’t companies want to boost productivity instead of just cutting costs? AI helps teams go faster, but with the same or more people, companies can create even more amazing things. Connect/Follow: Kaushit Shambhwani #developercommunity #softwaredevelopment #softwareengineering #technology #programming #computerscience

“25% of new code at Google is now AI-generated and accepted by engineers.” A great place to start is to have AI generate the code to fix vulnerabilities found by your code scanners, reviewed and accepted by an engineer… in a fraction of the time it used to take! Automate the mundane, get comfortable with it, then move up the ladder of complexity and creativity… bug fixes next, then features.

During Google’s Q3 2024 earnings call, CEO Sundar Pichai stated: “Over a quarter of new code at Google is AI-generated, then reviewed and adopted by engineers.” However, Google engineers were quick to challenge this claim. Google Engineer 1: asdfman123 I work at Google and just finished my day. My work could technically be counted as "AI-generated code," but the code completion engine is mostly good at completing lines of code I’ve already half-written. For example, if I type “function getAc...,” it auto-completes to “function getActionHandler()” and might suggest suitable parameters and a decent doc comment. Overall, it’s a useful productivity tool, but it doesn’t involve actual engineering work. It’s roughly as effective as Copilot, maybe even slightly less (though I haven’t used Copilot recently). Google Engineer 2: NotAnOtter I also worked at Google (until last Friday). I completely agree with you. My take is: These claims are obviously exaggerated; they may even be counting fully automated code checks/pull requests (CL/PR) as “AI-generated,” which have been around for over a decade. I previously mentioned that if a 10-person team’s productivity matches that of an 8-person team using something like Copilot, it’s fair to say “AI replaced two engineers.” More importantly, if this were true, tech leaders would have touted it long ago. Copilot and similar tools have existed long enough, yet no one claims “we’ve replaced X% of our workforce with AI.” So, following a “denial of the consequent” logic, I’d argue that using Copilot hasn’t fundamentally sped up development. #AI #AIGC #Google #LLM #Opensource #Copilot #Code #programming

Sundar Pichai said on the earnings call today that more than 25% of all new code at Google is now generated by AI. His words: We recently moved the Gemini app team to Google DeepMind to speed up deployment of new models, and streamline post-training work. This follows other structural changes that have unified teams in research, machine learning infrastructure and our developer teams, as well as our security efforts and our Platforms and Devices team. This is all helping us move faster. For instance, it was a small, dedicated team that built Notebook LM, an incredibly popular product that has so much promise. We're also using AI internally to improve our coding processes, which is boosting productivity and efficiency. → Today, more than a quarter of all new code at Google is generated by AI, then reviewed and accepted by engineers. This helps our engineers do more and move faster.

Exciting developments are unfolding at Google as the company integrates artificial intelligence into its coding processes. According to CEO Sundar Pichai, over 25% of new code is now generated by AI, marking a pivotal shift in software development practices. The introduction of the internal AI model "Goose" is set to enhance productivity by allowing engineers to focus on higher-value tasks while ensuring stringent quality standards through human oversight. This innovation reflects not only a technological advancement but also contributes positively to Google's financial performance, with a notable 35% growth in Google Cloud and significant ad revenue from YouTube. The stock market has responded favorably, with Alphabet shares rising 6% in after-hours trading following this announcement, signaling renewed investor confidence in Google's AI-driven strategy. To learn more about how AI is revolutionizing software development and driving growth at Google, read the full blog post here: [Link to blog post](https://ift.tt/9RuHxCG).

Google New Update : 25% of New Code Generated by AI In Q3 2024, Google announced that over a quarter of its new code is now AI-generated, marking a growth in AI-driven software development. Key points: - Revenue Growth: Alphabet’s revenue hit $88.3B, with Google Cloud’s AI-powered services seeing a 35% jump - AI-Driven Innovations: New features include custom chatbots, AI note-taking in Google Meet, and enhanced search capabilities - Regulatory Barriers: Despite progress, Google faces potential antitrust challenges that could reshape its structure More news here https://lnkd.in/dKKVuyFf