12 Claude Code Features Every Developer Should Know

Autonomous AI agents are already very capable and can complete tasks on your behalf. One of the most powerful AI agents you can access right now is the coding agent by Anthropic called Claude Code. Claude Code is a terminal-native, agentic coding tool that can read your entire codebase, edit files across directories, execute shell commands, and manage version control, all from a natural language prompt. Bytebytego recently posted a video on X (Twitter) showcasing 12 Claude Code features every engineer should know. In this article, we'll tell you about those 12 Claude Code features.

Here are the 12 Claude Code features every developer/software engineer should know:

1. CLAUDE.md:

CLAUDE.md is a Markdown file you can add to the root of your project. Claude Code will read this file at the start of every session. It can store your coding conventions, architectural constraints, and testing preferences so you won't have to explain the rules again and again.

2. Auto Memory:

Apart CLAUDE.md Claude Code also maintains a second memory layer, which is learning Claude saves automatically, like project patterns and your preferences are stored in MEMORY.md, and the first 200 lines or 25KB load at the start of each new session. It is passive and persistent without you managing it manually.

3. Context Window:

Claude Opus 4.6 and Sonnet 4.6 both have a built-in limit of 1 million tokens that you can use without needing a special beta version. You can use the /context command to check your token usage in real time. This feature shows how many tokens you are using across files, conversation history, and system prompts. It helps you know when to take action before reaching the limit.

4. Compaction:

When context starts filling up, you can use /compact to free up space without losing your place. However, this process removes some details, which means the model's understanding of your intent may weaken a bit. It is a useful command, but it should not replace good session management.

5. Permissions:

By default, Claude Code operates in a human-in-the-loop mode, and it will ask you before executing file edits or shell commands. When you press Shift+Tab to cycle through permission modes, the default mode asks before file edits and shell commands, while other modes give Claude more or less autonomy. It is the mechanism that keeps autonomous operation from becoming a liability.

6. Plan Mode:

Plan Mode makes it so that Claude can only read and analyze code without making changes. Before writing any code, it will look through the repository and suggest a step-by-step plan for you to approve. While in Plan Mode, Claude Code usually starts a subagent like Explore to examine the repository and identify key files and patterns. This way, the main discussion stays focused on what matters.

7. Checkpoints and Rewind:

Before Claude edits any file, it takes a snapshot of the current contents. If something goes wrong, press Esc twice to rewind to a previous state, or /rewind command.

• One important distinction: Checkpoints are local to your session and separate from git; they only cover file changes. Actions that affect remote systems like databases, APIs, or deployments cannot be checkpointed. Use these alongside version control, not instead of it.

8. Skills:

Skills are files called SKILL.md that contain clear instructions, context, and scripts for specific tasks like code reviews, refactoring, and generating documentation. If Claude can find a relevant skill, it will call the tool to read the contents and provide that expertise when needed. You won't need to start the same workflow over again.

9. Hooks:

If Claude finds a relevant skill, it will call the tool to read the contents and provide that expertise when needed. You won't need to start the same workflow over again. The main difference from prompt instructions is that hooks ensure the actions happen. PreToolUse hooks give you a moment to say, "Stop and think," or "don't do that; do this instead." PostToolUse hooks allow you to say, "Now that you've done that, here's what you should know."

10. MCP:

Anthropic introduced MCP (Model Context Protocol) as an open standard for connecting AI tools to external data sources. With MCP, Claude Code can read design docs in Google Drive, update tickets in Jira, pull data from Slack, or use your own custom tooling. It is what turns Claude Code from a local coding agent into a node across your entire software stack.

11. Plugins:

Plugins are packages that combine skills, commands, sub-agents, hooks, and MCP servers into one unit. You can install them using the /plugins command, and they are organized into namespaces to prevent conflicts. For engineering teams, this is how you ensure consistent AI setups across many projects.

12. Sub-Agents:

For complex, multi-part tasks, a single conversation thread can quickly become a problem. Subagents work on tasks independently and return only their results to the main conversation without bloating your context. You can spawn multiple subagents in parallel, with one handling the backend API and another building the frontend, keeping the main session lean and focused throughout.

In Conclusion:

The video posted by Bytebytego on X is a useful and productive watch, and you should watch it if you use Claude Code. Claude Code isn't like Claude, where you paste a prompt and have a regular conversation. Claude Code is an AI agent for productivity that you can delegate tasks to. When you use Claude Code, you are the one in control, so you know what is being built.