Code Llama vs CodeStory - Which AI Code Assistant Software Platform Is Better in July 2025?

Code Llama

Code Llama

Enhanced coding with code generation and understanding.

CodeStory

CodeStory

Automated code change description and implementation.

TL;DR - Quick Comparison Summary

Description

Introducing Code Llama, the ultimate coding solution for any software developer. With its tagline "Enhanced coding with code generation and understanding," Code Llama is a cutting-edge

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CodeStory is an advanced code modification tool powered by AI and designed for Visual Studio Code. It offers a revolutionary approach to software development, allowing users to interact

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Pricing Options

  • No free trial
  • Not Available
  • Free Trial available
  • $30, month

How do Code Llama and CodeStory Compare on Features?

Total Features

Features
Features

Unique Features

No features

No features

What Do Code Llama and CodeStory Cost?

Pricing Option

      Starting From

      • Not Available
      • $30, month

      Other Details

      Customer Types

      • No customer type information available
      • No customer type information available

      Code Llama User Reviews & Rating Comparison

      User Ratings

      5/5

      No Reviews

      Pros

      Pros of Code Llama

      • Generates code

      • Understands code

      • Code completion capability

      • Supports debugging tasks

      • Supports Python

      • C++

      • Java

      • PHP

      • Typescript

      • C#

      Pros of CodeStory

      • Interactive coding approach

      • Built on VSCODE

      • Migrate seamlessly

      • Retain favorite extensions

      • Prompt-based interactions

      • Editing across files

      • Auto-search functionality

      • Refactoring and debugging

      • Code explanations context

      • Autogenerated PR summaries

      Cons

      Cons of Code Llama

      • Higher latency with 34B model

      • Not suitable for natural language tasks

      • Doesn't generate safe responses on certain occasions

      • Requires user adherence to licensing and acceptable policy

      • May generate risky or malicious code

      • Specialized models required for specific languages

      • Does not perform general natural language tasks

      • Requires a large volume of tokens

      • Lacks adaptability for non-coding tasks

      • Service and latency requirements vary between models

      Cons of CodeStory

      • Limited language support

      • Only MacOS compatibility

      • Possibly overwhelming for beginners

      • Dependent on VSCODE updates

      • No standalone installation

      • Unclear data privacy policy

      • No offline version

      • May not handle complex code

      • Limited customization options

      • No API for integration

      Media and Screenshots

      Screenshots

      Code Llama
      CodeStory

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      Frequently Asked Questions (FAQs)

      Stuck on something? We're here to help with all the questions and answers in one place.

      CodeStory offers Free Trial, but Code Llama does not.

      The starting price of CodeStory begins at $30/month, while pricing details for Code Llama are unavailable.

      Code Llama offers several advantages, including Generates code, Understands code, Code completion capability, Supports debugging tasks, Supports Python and many more functionalities.

      The cons of Code Llama may include a Higher latency with 34B model, Not suitable for natural language tasks, Doesn't generate safe responses on certain occasions, Requires user adherence to licensing and acceptable policy. and Service and latency requirements vary between models

      CodeStory offers several advantages, including Interactive coding approach, Built on VSCODE, Migrate seamlessly, Retain favorite extensions, Prompt-based interactions and many more functionalities.

      The cons of CodeStory may include a Limited language support, Only MacOS compatibility, Possibly overwhelming for beginners, Dependent on VSCODE updates. and No API for integration

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      Disclaimer: This research has been collated from a variety of authoritative sources. We welcome your feedback at [email protected].

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