81–90 of 1001 posts
Google is now mass-producing techdebt at rates not seen since Martin Fowler’s first design pattern blogposts.
Not really technical debt when you will be able to regenerate 20K lines of code in a minute then QA and deploy it automatically.
- You know which 20K lines need changing - You have perfect QA - Nothing ever goes wrong in deployment.
I think there's a tendency in our industry to only take the hypotenuse of curves at the steepest point
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it's like companies paying all those todolist and tutorial apps left running on aws ec2 instances in 2007ish.
I'd be worried if i were a google investor. lol.
this only means employees sign up to use new toys and they are paying enough seats for all employees. it's like companies paying all those todolist and tutorial apps left running on aws ec2 instances in 2007ish. I'd be worried if i were a google investor. lol.
if the golden rule is that code is a liability, what does this headline imply?
With g3's immense amount of context, LLMs can vastly help you discover how other people are using existing libraries.
Alphabet ($GOOG) 2024 Q3 earnings release
1. We take a lot of care to make sure the AI recommendations are safe and have a high quality bar (regular monitoring, code provenance tracking, adversarial testing, and more).
2. We also do regular A/B tests and randomized control trials to ensure these features are improving SWE productivity and throughput.
3. We see similar efficiencies across all programming languages and frameworks used internally at Google and engineers across all tenure and experience cohorts show similar gain in productivity.
You can read more on our approach here:
https://research.google/blog/ai-in-software-engineering-at-g...
Hi, I lead the teams responsible for our internal developer tools, including AI features. We work very closely with Google DeepMind to adapt Gemini models for Google-scale coding and other Software Engineering usecases. Google has a unique, massive monorepo which poses a lot of fun challenges when it comes to deploying AI capabilities at scale. 1. We take a lot of care to make sure the AI recommendations are safe and…
I don't write code as I'm a sysadmin. Mostly just scripts. But is this like saying intellisense writes 25% of my code? Because I use autocomplete to shortcut stuff or to create a for loop to fill with things I want to do.
When someone who uses a product says it, there is a 50% chance of it being true, but when someone far away from the user says it, it is 100% promotion of product and setup for trust building for a future sale.