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Here is a quick look at the newly announced #DuetAI for Google Cloud which is an always-on AI collaborator that uses generative AI to: 👍 provide contextual code completion 👍 generate entire functions in real-time 👍 provide suggestions tuned to your code base 👍 assist you with code reviews... show more

Priyanka Vergadia

48,898 subscribers

12,809 Aufrufe • vor 3 Jahren •via X (Twitter)

Anya Rossi• Live Now

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4 Kommentare

Profilbild von Marvin Ngesa ⚔️ 七 🏴‍☠️

Marvin Ngesa ⚔️ 七 🏴‍☠️vor 3 Jahren

@googlecloud @wayne_gakuo

Profilbild von Raja Vijaya

Raja Vijayavor 3 Jahren

@googlecloud Registered. Thank you for sharing :)

Profilbild von Biswanath Giri

Biswanath Girivor 3 Jahren

@googlecloud Excited to use in google cloud

Profilbild von ኢድሪስ ኣደም

ኢድሪስ ኣደምvor 3 Jahren

@googlecloud .

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Slather on personalization with your order of real-time suggestions. ☁️🍔💻 You can customize #AmazonQ Developer to generate even better code suggestions—based on your internal libraries, APIs, & more. It’s innovation—supersized, with the power of #AI. 👉

Slather on personalization with your order of real-time suggestions. ☁️🍔💻 You can customize #AmazonQ Developer to generate even better code suggestions—based on your internal libraries, APIs, & more. It’s innovation—supersized, with the power of #AI. 👉

Amazon Web Services

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This is kinda cool. I set up a Laracasts Playground that will allow you to interact with the code from the current video you're watching. Uses a container. Seems reasonably snappy. 👍

This is kinda cool. I set up a Laracasts Playground that will allow you to interact with the code from the current video you're watching. Uses a container. Seems reasonably snappy. 👍

Jeffrey Way

23,051 Aufrufe • vor 7 Monaten

Nobody is writing 90% of their code using AI. Here's the uncomfortable truth: The real productivity gain from using AI to write code is closer to 10%, nowhere near the 90% people claim. Sundar Pichai said in 2024 that 30% of the new code at Google was AI-generated. However, he went on to admit, during Lex Friedman's podcast, that engineering velocity had only increased by about 10%. AI-generated code isn't free code. It still has to be reviewed, tested, and made production-ready. Optimizing a single step (code generation) doesn't boost output if bottlenecks shift elsewhere (code reviews). It doesn't matter how much code you generate if you can't keep up the review process. The solution: Automate as much as you can the review and verification of your code. I'm working with Sonar, who is sponsoring this post, and they will take care of the code quality and security analysis of your code: • They review over 300B lines of code every single day • They cover reliability, security, and maintainability for your code • You can integrate them into your CI/CD pipeline • You can install them in your IDE (I use their VSCode extension) • Support for more than 30 languages Here is a link so you can check them out:

Nobody is writing 90% of their code using AI. Here's the uncomfortable truth: The real productivity gain from using AI to write code is closer to 10%, nowhere near the 90% people claim. Sundar Pichai said in 2024 that 30% of the new code at Google was AI-generated. However, he went on to admit, during Lex Friedman's podcast, that engineering velocity had only increased by about 10%. AI-generated code isn't free code. It still has to be reviewed, tested, and made production-ready. Optimizing a single step (code generation) doesn't boost output if bottlenecks shift elsewhere (code reviews). It doesn't matter how much code you generate if you can't keep up the review process. The solution: Automate as much as you can the review and verification of your code. I'm working with Sonar, who is sponsoring this post, and they will take care of the code quality and security analysis of your code: • They review over 300B lines of code every single day • They cover reliability, security, and maintainability for your code • You can integrate them into your CI/CD pipeline • You can install them in your IDE (I use their VSCode extension) • Support for more than 30 languages Here is a link so you can check them out:

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Google

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Google just did it again. They just launched "Google Skills" a free platform to turn anyone into an AI expert. 3,000+ courses, labs & certificates from Google Cloud, DeepMind, and Grow with Google all in one place. → Learn AI, data, and coding from real Google engineers → Earn credentials that actually get you hired → Build hands-on projects with Gemini Code Assist → Compete on global leaderboards and share your wins No paywalls. No BS. Just world-class AI education free. This might be the biggest AI upskilling move of the decade. 👉

Google just did it again. They just launched "Google Skills" a free platform to turn anyone into an AI expert. 3,000+ courses, labs & certificates from Google Cloud, DeepMind, and Grow with Google all in one place. → Learn AI, data, and coding from real Google engineers → Earn credentials that actually get you hired → Build hands-on projects with Gemini Code Assist → Compete on global leaderboards and share your wins No paywalls. No BS. Just world-class AI education free. This might be the biggest AI upskilling move of the decade. 👉

Alex Veremeyenko

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🚨 Big news: Google just launched Google Skills... giving you access to the same content universities charge $50K+ is now open to everyone. Here’s how it works: - Go to - Pick any AI skill you want to learn - Learn through 700+ hands-on labs with real Google Cloud tools -Earn Google Skill Badges to showcase your expertise ... recruiters actively look for these - Work toward certifications that rank among the highest-paying in IT What’s inside: - 3,000+ AI courses from Google Cloud, DeepMind & Google Edu - $500 in free cloud credits to practice - Built-in Gemini Code Assist - Certificates employers actually recognize (82% hiring preference) Like, REPOST

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Beginnersblog

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Santiago

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Let's face it: AI can check your code 100x faster and catch 10x more issues than you can. "Code reviews" as a widespread practice is not coming back. There are only two reasons we should consider code reviews today: 1. To transfer knowledge within a team. 2. To ensure AI didn't miss critical aspects in the code. We are getting closer to a point where manually reviewing code will be as relevant as punching holes in a punch card. Here is one idea for you:

Let's face it: AI can check your code 100x faster and catch 10x more issues than you can. "Code reviews" as a widespread practice is not coming back. There are only two reasons we should consider code reviews today: 1. To transfer knowledge within a team. 2. To ensure AI didn't miss critical aspects in the code. We are getting closer to a point where manually reviewing code will be as relevant as punching holes in a punch card. Here is one idea for you:

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