Here's what I've found: a lot of the value of Claude Code is in its configuration and correct prompting. When you're just starting, you think the value is really in the code it generates. But honestly, most of the value of Claude Code is in the code it doesn't generate-so you don't have to throw it away. The better you are at setting a really solid system prompt, at executing the agentic loop correctly with the right permissions, the right interceptions,
Software developers often store secrets - passwords, tokens, API keys, and other credentials - in .env files within project directories. And if they do so, they're supposed to ensure that the .env file does not get posted in a publicly accessible .git repository. A common way to do this is to create an entry in a .gitignore file that tells the developer's Git software to ignore that file when copying a local repo to a remote server.
Anthropic has launched Claude Cowor, a general-purpose AI agent that can manipulate, read, and analyze files on a user's computer, as well as create new files. The tool is currently available as a "research preview" only to Max subscribers on $100 or $200 per month plans. The tool, which the company describes as "Claude Code for the rest of your work," leverages the abilities of Anthropic's popular Claude Code software development assistant but is designed for non-technical users as opposed to programmers.
Built into the Claude Desktop app, the new tool lets users designate a specific folder where Claude can read or modify files, with further instructions given through the standard chat interface. The result is similar to a sandboxed instance of Claude Code, but requires far less technical savvy to set up. Currently in research preview, Cowork is only available to Max subscribers, with a waitlist available for users on other plans.
Now I feel I have found a new stable status quo for how I reason about where we are and where we are going. I'm doubling down on code generation, file systems, programmatic tool invocation via an interpreter glue, and skill-based learning. Basically: what Claude Code innovated is still state of the art for me. That has worked very well over the last few months, and seeing foundation model providers double down on skills reinforces my belief in this approach.
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Anthropic released sandboxing capabilities for Claude Code and launched a web-based version of the tool that runs in isolated cloud environments. The company introduced these features to address security risks that arise when Claude Code writes, tests, and debugs code with broad access to developer codebases and files. According to Anthropic, "Giving Claude this much access to your codebase and files can introduce risks, especially in the case of prompt injection."
Anthropic's Claude Code tool has become a go-to-assistant for developer's coding needs within their terminal. Now, the company is making it accessible directly from the browser, meaning users can access the coding assitant without even opening the terminal. Also: I've tested free vs. paid AI coding tools - here's which one I'd actually use Starting today, users can assign coding tasks to Claude using Anthropic-managed cloud infrastructure, giving developers the ability to code in the GitHub repository via a web interface -- similar to how OpenAI's Codex and Google's Jules operate. This builds on Claude's previous capabilities, which allow users to run the coding assistant directly in their workspace to write or manage code.
One of our favorite tools is Claude Code, the AI coding assistant from Anthropic, which we're using to explore ideas, ship features, and create documentation. But while Claude Code is powerful out of the box, its real potential emerges when you customize it to fit your workflow. In this article, I'm going to walk through a handful of tips and tricks that help you move beyond simply entering prompts into a text box.
According to Anthropic's commercial terms of service, customers are barred from using the service to 'build a competing product or service, including to train competing AI models' or 'reverse engineer or duplicate' the services.