Technically

In Part I of our ‘What is low-code’ post, we talked about how low-code simplifies building software and makes it more accessible to non-technical builders. If it’s all sounding a little nebulous, in this part, we’re going to talk more concretely about who low-code is aimed towards, some of the ways in which you can use low-code, and how some different platforms approach this kind of development. Join 60K+ people learning more about how software works: Well, it sort of depends on the tool.

This is a guest post from Sachit Bhat, an engineer at my old employer, Retool. Algolia provides a set of tools that helps engineers build search functionality into their apps. Think: literal search bars.

Passkeys are a way to securely sign into the apps and websites you love without needing to remember a password or username.

Hello dear paid subscribers, and welcome to the sixth issue of Ask Technically. You know the drill — you ask questions about software, hardware, and everything in between, and I’ll tackle a few every issue to make sure everyone gets a quality and thorough answer. If you missed the last paid post about Heroku, you can check it out here. If you have any que… Keep reading with a 7-day free trial Subscribe to Technically to keep reading this post and get 7 days of free access to the full post archives.

This is a guest post from Leonardo at ScraperAPI. If you’re looking for an enterprise-level data collection tool without the big price tag, check them out. Web scraping is a technique to automatically collect data from websites (e.g., text, images, product prices, stock data, etc.) through code.

Imagine you’re a data scientist, and you need to pull in some data about your user churn and analyze it. Data Science notebooks – or just “code notebooks” – help you go from this blob of code: Join 59K+ people getting more technical: To this nicely formatted, iterative, visual set of code blocks: Pretty much every data scientist I know uses notebooks, including yours truly (does one know oneself? I can’t understand Hegel).

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When you think of software engineering, you envision developers working hard on customer facing features. But a surprising amount of developer time is actually spent on making apps usable for large companies, a group that has a rigorous and sometimes oddly specific list of requirements.

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Upgrade to paid to play voiceover It’s now many months since I wrote about ChatGPT, and there’s even more going on in AI. OpenAI definitely took the world by storm, but open source models – and even closed source competitors like Midjourney – are catching up. Theoretical interest aside, this matters because these models can actually be useful to you at your job: generating marketing copy, cover images, doing research, writing your blog posts for you, you name it.