In Part 1https://coderlegion.com/21935/ai-fundamentals-part-1-from-prompt-to-response, we learned how an LLM turns your prompt into a response. It all comes down to predicting one token at a time using the information available in its context windo...

AI is becoming a regular part of software development. Whether you're building chatbots, code assistants, search experiences, or internal tools, you'll come across terms like tokens, context window, attention, and temperature. While you don't need t...

Remember Part 1https://coderlegion.com/11628/oxlint-js-linter-thats-actually-fast-enough-to-matter where we talked about Oxlint being stupidly fast? Well, buckle up because Oxfmt the formatter is even more ridiculous. We're talking 30x faster than P...

So here's the thing about my last Biome blog post, the comments sectionon Reddit turned into a mini war zone. Not the angry kind, thankfully. More like the curious kind. Everyone wanted to know about Oxlint and how it stacks up against Biome. Fair e...

Hey there! So you're building a React app with TypeScript and Vite, and you keep hearing people talk about CI/CD and GitHub Actions. What's all the fuss about? Let me break it down for you in plain English. What's GitHub Actions Anyway? Think of Gi...

Part 3 of 3: Where Theory Meets Production Welcome to the final part of our JSON Schema journey! We've covered the theory and implementation – now let's see how JSON Schema solves real problems in production environments. Plus, we'll dive into HAL H...

Part 2 of 3: Getting Your Hands Dirty Welcome back! In Part 1https://coderlegion.com/5669/json-schema-your-datas-new-best-friend, we covered the basics of JSON Schema and why it's awesome. Now it's time to roll up our sleeves and implement some real...

Part 1 of 3: Understanding the Basics Ever had that moment where your API returns { age: "twenty-five" } instead of { age: 25 } and your whole app breaks? Yeah, we've all been there. Let's talk about JSON Schema – your new best friend in the fight a...