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Stay updated with the latest podcasting tips and trends.
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The step-by-step guide to start your own podcast.
Create the best live podcast and engage your audience.
Tips on making the decision to monetize your podcast.
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The ultimate guide to recording a podcast on your phone.
Steps to set up and use group recording in the Podbean app.
Biilmann says we can't ignore the impact GenAI is having on developer productivity. One of their engineers created a GPT that automatically generates stories for React + TypeScript components, and after seeing how successful it was internally, Netlify made it open source for the public.
We also chat over the results of their recent State of Web Development survey. The key takeaway is below:
The 80% of developers that have integrated AI into their workflow are quickly reaping the benefits. Seventy percent report using AI to automate manual and repetitive tasks and 42% are using it to improve internal knowledge sharing and increase productivity, freeing up more time for impactful work and enabling faster launch times. Over 50% of developers also realized new opportunities that AI created, such as generating new web projects with a single prompt or reading API documentation.
However, AI experimentation is not without its own unique challenges. Developers are concerned about receiving incorrect answers and information (65%), security issues and leaking confidential information (52%), a lack of regulation (48%), and a decrease in code quality (45%).
So much opportunity, but plenty of risk as well.
Last but not least, Biilmann tells us what he's looking forward to in the near future, specifically apps that can reformat their UI on the fly to be more customized to each user. He calls this UI 2.0, and it sounds a bit like what Google showed off in its recent Gemini demo.
Congrats to our lifeboat winner of the week, Petrus Theron, who answered the question: How can I make a public struct where all fields are public without repeating `pub` for every field?
What launching rockets taught this CTO about hardware observability
Is this the real life? Training autonomous cars with simulations
Think you don’t need observability? Think again
Meet the AI native developers who build software through prompt engineering
A developer works to balance the data center boom with his climate change battle
This dev went from coding at Meta, to search at Google, to investing in AI with Anthropic
He sold his first company for billions. Now he’s building a better developer experience.
How to detect errors in AI-generated code
Looking under the hood of multimodal AI
The world’s largest open-source business has plans for enhancing LLMs
The evolution of full stack engineers
The creator of Jenkins discusses CI/CD and balancing business with open source
At scale, anything that could fail definitely will
Mobile Observability: monitoring performance through cracked screens, old batteries, and crappy Wi-Fi
Where does Postgres fit in a world of GenAI and vector databases?
From PHP to JavaScript to Kubernetes: how backend engineering evolved
Ryan Dahl explains why Deno had to evolve with version 2.0
Battling ticket bots and untangling taxes at the frontiers of e-commerce
Scaling systems to manage the data about the data
How we’re making Stack Overflow more accessible
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