Sub-agents in Claude Code, clearly explained:

Sub-agents in Claude Code, clearly explained:

Claude Code subagents solved two of AI’s biggest problems:

- Large Context management
- Right tool selection

Making it the best AI coding assistant!

Let's understand how to build and use Sub-agents in Claude code: 

What are subagents?

Subagents are like focused teammates for your IDE

Each one:

- Has a specific purpose
- Uses a separate context window
- Can be limited to selected tools
- Follows a custom system prompt

It works independently and returns focused results. 

Quick start:

1. Open the subagents UI: /agents
2. Create a new agent & select it's scope
3. Define your agent
4. Save it to use later

Check this out👇 

Now let's build a team of sub agents and see them in actions.

Here are 4 agents we're building:

1. Code-reviewer
2. Debugger
3. Data-scientist
4. Web-researcher 

Next we'll see detailed description for each one-by-one...👇 

Here's a blueprint to create a subagent.

Each has it's own:

- context window
- system prompt
- tools and tasks

Juts add them to .claude/agents/my_agent. md

Check this out👇 

1️⃣ Code reviewer

This subagent reviews your code for quality, security, and maintainability.

Can also do semantic search over the entire code base using Claude Index MCP by Ziliz (open-source)

Check this out👇 

2️⃣ Debugger

This subagent traces stack errors, diagnoses issues, applies minimal fixes, and confirms resolution.

Check this out👇 

3️⃣ Data Scientist

This subagent writes SQL, runs BigQuery, uncovers patterns in any dataset and analyse trends.

Check this out👇 

4️⃣ Web researcher

This subagent connects to @firecrawl_dev's MCP server to scrape, summarize, and extract real-time info from the web.

Check this out👇 

Finally when done we asked out system to create a leaderboard for trending GitHub repos.

Created a real time leaderboard in one shout!

Automatically handled:

- Web scraping logic
- writing the code for ranking
- creating the leaderboard

Check this out👇 

Best practices:

- Start with Claude-generated agents, then customize
- Focus each agent on a single task
- Use detailed system prompts with examples
- Restrict tool access for security
- Write precise, action-oriented descriptions for better routing 

If you found it insightful, reshare with your network.

Find me → @akshay_pachaar ✔️
For more insights and tutorials on LLMs, AI Agents, and Machine Learning!
https://x.com/akshay_pachaar/status/1952365404044640661