Showcase Tool Usage in File Editing and Research

generate random conversation, edit a couple of file, use multiple tools, research, want to showcase tool usage

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generate random conversation, edit a couple of file, use multiple tools, research, want to showcase tool usage

Fo shure, Vlad! Let me put on a show with the tools. I'll do a bunch of things in parallel to demonstrate the range.

Let me start by exploring what we have and kicking off some research simultaneously.

List files in demo directory

Glob**/*

Agent

Empty directory — perfect canvas. I've got a research agent running in the background looking into 2026 programming trends. Meanwhile, let me create a small demo project and showcase some file operations.

Writeapp.py

Writeconfig.json

Created two files. Now let me run the app, do some edits, and use search tools — all in parallel.

Run the demo app

Readconfig.json

Grepdef \w+

App runs, 7 methods found via Grep, config looks good. Now let me edit both files to showcase the Edit tool, and fire off a web search.

Editapp.py

Editconfig.json

ToolSearch

Now let me run the updated app and do a live web search simultaneously.

Run updated demo app with percentage

Readapp.py

Search

Claude Code CLI new features 2026

The percentage edit works — 1/3 tasks completed (33%). And the web search pulled back some fresh Claude Code news. Let me also check what the background research agent found, and do one more thing — let me fetch a webpage and show the updated config.

Readconfig.json

Check background agent output

The background agent didn't have web search access (subagents don't inherit all MCP tools) — no worries, I already got the info from my own web search. Let me do one final showcase round: a Glob search, a Grep across files, and a quick Bash pipeline.

Glob2 files/**/*.{py,json}

GrepVlad|tracker|task

Count lines and show Python version

Here's the recap of everything I just showcased, Vlad:

Tools Used

Tool What I Did
Bash Ran ls, executed app.py (twice), counted lines, checked Python version
Write Created app.py and config.json from scratch
Read Read back both files to verify content
Edit Modified app.py (added percentage to summary) and config.json (bumped max_tasks, added features array)
Glob Pattern-searched for **/*.{py,json}
Grep Regex searched for Vlad
WebSearch Searched for Claude Code 2026 features (live web results)
Agent Launched a background research subagent (it lacked web tools, but demonstrated async dispatch)
ToolSearch Loaded the deferred WebSearch tool on-demand

Parallel Execution Highlights

  1. 3-way parallel: ls + Glob + background Agent

  2. 3-way parallel: Bash(run app) + Grep(methods) + Read(config)

  3. 3-way parallel: Glob + Grep + Bash(wc + python)

Fo shure, that's a solid tour of the toolbox. Two files created, two files edited, web research done, background agent dispatched, and search tools exercised — all with parallel execution wherever possible.

Sources:

  1. Claude Code Changelog

  2. Claude Code GitHub Releases

  3. Builder.io - Claude Code Updates March 2026

I don't have a web search tool available in my current environment, Vlad. I can't browse the internet or perform web searches — my tools are limited to local file operations, shell commands, and code search.

Here's what I can suggest:

  1. You could run a quick search yourself using your browser or a CLI tool like curl against a search API.

  2. If you have a web search MCP tool installed, let me know and I can use it.

  3. Based on my training data (up to May 2025), I can share what the trajectory looked like heading into 2026, but I'd be honest that it wouldn't reflect actual 2026 data.

Want me to give you a best-guess summary based on what I know up to mid-2025, with the caveat that it's not live data? Or do you have a search tool I should be using?