AI Agent Use Cases
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AI Agent Use Cases

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Prompt to Prepare a Shopping Cart from a Recipe Photo

The author reports that Grok Bot receives a recipe photo, organizes the ingredients and quantities, and creates a shopping list by excluding ingredients already available at home.

Grok Bot
Life & Hobbies

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A Local Agent That Searches Code and Narrows Down Relevant Files

This is a small agent that reads ColGrep search results and files. The author reports using it with Claude Code to find needed code.

Claude Code

How it works

  1. The author connected ColGrep-Agent-2B, which runs locally, to the code search tool ColGrep.
  2. After configuring it to read relevant files while narrowing down search results, the author released it as a search assistant tool that can be used with Claude Code and similar tools.

Results

The developer released the tool. However, the introduction did not include any figures comparing speed or cost.

Notes

Installation instructions and performance details must be checked in the linked project materials.

Source

Bluesky Original post ↗

Example prompt · Claude Code

Connect a local search assistant to help find needed code in this repository.

Input: repository [path], desired functionality [question], computer environment [OS·memory], agent to use [tool]. First, check the official current documentation for ColGrep and ColGrep-Agent-2B for installation requirements and connection methods. Do not invent settings if support cannot be confirmed.

Prepare to search code locally, extract search clues from the question, and design a process that narrows down the scope by reading relevant files from the results. Exclude secret configurations and unnecessary generated files from the search target, and check whether any data is sent externally.

In your answer, include the relevant file paths and code locations, and explain why the code is related to the question. Distinguish between information confirmed only by search and that confirmed by actual execution, and do not modify code at this stage.

Deliverables: installation and connection setup, search usage instructions, and verification records. For verification, ask about a function whose location is already known, a different function with a similar name, and a function that does not exist, to ensure no baseless files or explanations are produced.