Claude

I genuinely think a lot of people still underestimate how fast the AI developer tooling ecosystem is evolving. A good example of that is the new Code Review feature in Claude Code, which Anthropic just released in research preview. Docs: https://code.claude.com/docs/en/code-review At first glance it sounds like another “AI reviews your code” feature. We’ve had plenty of those. But when you look closer, this one is actually quite different. Most automated code review tools are basically static analysis with a large language model wrapped around them. They skim the diff, leave a few comments, maybe point out a style issue or a possible bug. ...

I keep running into the same problem with Claude Code Pro ($20/month): I burn through the usage limits faster than I expect. The obvious solution is upgrading to the $200/month plan, but that feels excessive for how I actually use it. So I started exploring alternatives. What I’ve realised is that the best approach isn’t replacing Claude Code entirely - it’s building a hybrid AI developer stack where different models handle different types of work. ...

Most people still talk about chatbots and large language models as if they are the same thing. They are related, but they are not identical. A chatbot is the product experience. A large language model is the reasoning engine underneath. Once you separate those two layers, the AI landscape becomes much easier to understand. Quick Answer If you only want the short version: an LLM is the underlying model a chatbot is the product wrapped around that model the best choice depends on the task, the interface, and the context you need Chatbot vs LLM At A Glance Question LLM Chatbot What is it? The model itself The user-facing product Main job Generate and transform language and other modalities Make the model usable in a workflow Typical interface API, SDK, model endpoint Chat UI, app, assistant product Common extras None by default memory, files, search, tools, voice Best for automation, integration, custom systems everyday use, exploration, fast collaboration The Simple Distinction A large language model (LLM) is a model trained to predict and generate language. In practice, modern LLMs can also handle code, structured data, reasoning tasks, and increasingly multimodal inputs such as images, audio, and video. ...