featured in #595
The End Of Programming As We Know It
- Tim O’Reilly tl;dr: “There’s a lot of chatter in the media that software developers will soon lose their jobs to AI. I don’t buy it. It is not the end of programming. It is the end of programming as we know it today. That is not new.”featured in #595
[Webinar] Best practices for AI Agent Tool Calling
tl;dr: “Why doesn’t my AI agent call the right tool?” For AI agents that automate work across 3rd-party tools to be adopted, tool calling and tool use accuracy is critical. Join this webinar, where our dev advocate will cover the basics around AI agent tool calling as well as evaluations we ran to uncover optimizing tool calling performance. Register here - you’ll receive the recording and slides afterward, even if you can’t make it.featured in #594
featured in #594
5 Code Review Anti-Patterns You Can Eliminate With AI
- Aravind Putrevu Desmond Obisi tl;dr: In this guide, you’ll learn about the most common anti-patterns that pop up during code reviews and how to easily tackle them with artificial intelligence (AI).featured in #593
featured in #593
How I Use LLMs As A Staff Engineer
- Sean Goedecke tl;dr: “Personally, I feel like I get a lot of value from AI. I think many of the people who don’t feel this way are “holding it wrong”: i.e. they’re not using language models in the most helpful ways. In this post, I’m going to list a bunch of ways I regularly use AI in my day-to-day as a staff engineer.”featured in #589
How Will Your App Survive The AI Bot Wars?
tl;dr: Today’s bots can easily bypass traditional detection — executing JavaScript, storing cookies, rotating IPs, and even solving advanced CAPTCHAs. Their attacks are advanced by the day, fueled by growth in AI agents. So how do you block these bad actors? The answer is WorkOS Radar. A single JS script is all it takes to instantly protect your signup flow. Whether it’s brute force attacks, leaked passwords, or throwaway emails, WorkOS Radar can catch it all, keeping your real users safe from abuse.featured in #588
[Tutorial Series] Building Interoperable AI Agent Products (RAG & Tool Calling)
tl;dr: Every product & engineering team is being asked to build AI features. But that requires a deep understanding of a few core concepts: Ingesting & index customers' external knowledge, reconciling 3rd-party permissions and ACLs, and automating tasks across your customers' other apps via agent tool calling. This 3+ part video and written series (with repos) walks through how to implement each of these functionalities into your product.featured in #588
How I Use LLMs As A Staff Engineer
- Sean Goedecke tl;dr: “Personally, I feel like I get a lot of value from AI. I think many of the people who don’t feel this way are “holding it wrong”: i.e. they’re not using language models in the most helpful ways. In this post, I’m going to list a bunch of ways I regularly use AI in my day-to-day as a staff engineer.”featured in #588