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
Building Personal Software With Claude
- Nelson Elhage tl;dr: “This experience has shifted a bunch of my thinking about the role of LLMs in software engineering and in my own work. These thoughts are still unfolding, but this piece is an attempt to capture my experience, and to think aloud as I ponder how to update my behaviors and beliefs and expectations.”featured in #587
AI Coding Agents For Engineering (And Business) Impact
tl;dr: There’s a lot of BS about AI coding agents. Sourcegraph’s AI coding agents actually work. Our code review agent uses specific rules you define, instead of trying to replace humans entirely. They use search + AI to help you define rules precisely and eval against recent PRs.featured in #586
How Might AI Change Programming?
- Thorsten Ball tl;dr: Thorsten poses questions about future implications of AI: Will this affect programming language adoption? Will code optimization shift to focus on AI readability? Could prompts replace stored code? Will we need new ways to handle AI-generated technical debt?featured in #586