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CodeStory

CodeStory revolutionizes coding with AI, offering intuitive interaction, multi-language support, and extensive community resources.
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CodeStory

What is CodeStory?

CodeStory is an AI-powered modification of Visual Studio Code that revolutionizes software development by allowing users to interact with their code through instructions to an AI agent, eliminating the need for traditional manual coding. The key features of CodeStory include interactive coding, seamless migration, prompt-based interactions, editing across files, refactoring, debugging, contextual code explanations, autogenerated PR summaries, and more.

One distinctive aspect of CodeStory is its intuitive search function, enabling users to search naturally without worrying about syntax. The platform also supports a wide variety of languages and is continuously updated for compatibility with new VSCode releases. Furthermore, CodeStory's community and support network include a blog, changelog, Discord community, and social media presence, ensuring users have resources for assistance and updates.

Who created CodeStory?

Codestory was created by a team of three individuals based in London, United Kingdom. The team members have diverse backgrounds, including building testing infrastructure at Meta, working on payments infrastructure for merchants in India, being an ACM ICPC world finalist, contributing to open-source projects like gRPC and Bazel, and having experience as a founder specializing in design and developer tools. Codestory was launched on July 1, 2023, and offers an innovative approach to software development by utilizing AI technology to enable users to interact with their code through prompts, facilitating tasks such as editing across files, searching, refactoring, and debugging.

What is CodeStory used for?

  • Interactive coding approach
  • Migrate seamlessly
  • Prompt-based interactions
  • Editing across files
  • Auto-search functionality
  • Refactoring and debugging
  • Code explanations context
  • Autogenerated PR summaries
  • Changelogs with full context
  • Grouped git diffs

Who is CodeStory for?

  • Software developers
  • Programmers
  • Developers
  • Coding Enthusiasts
  • Engineers

How to use CodeStory?

To use CodeStory effectively, follow these steps:

  1. Initialization: Download CodeStory, available for macOS, and seamlessly migrate existing setups from Visual Studio Code (VSCode).
  2. Interact with Code: Utilize prompt-based interactions to instruct the AI agent to perform tasks like searching, editing across files, refactoring, and debugging.
  3. Leverage Features: Benefit from features like interactive merging and refactoring, auto-search functionality, code explanations, autogenerated PR summaries, and contextual code search.
  4. Stay Updated: Track updates through the changelog and blog on the CodeStory website to ensure compatibility with new VSCode releases.
  5. Community: Engage with the thriving CodeStory community through resources like Discord, blog, and social media platforms for support and updates.

By following these steps, users can harness the power of CodeStory to enhance their software development experience.

Pros
  • 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
  • Changelogs with full context
  • Grouped git diffs
  • Intuitive code search
  • Interactive merging and refactoring
  • Regular VSCODE updates compatibility
Cons
  • 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
  • No API for integration

CodeStory FAQs

What are the key features of CodeStory?
CodeStory offers a slew of key features, including editing across files, searching, refactoring, and debugging. It allows users to interact with their code via prompts to the AI agent. The AI agent can explain the code, auto-generate pull request summaries, create changelogs with full context, and facilitates intuitive search. It also allows interactive management of merging and refactoring tasks.
What languages does CodeStory support?
CodeStory supports a wide range of languages, with exact details not known. However, it is clear that supported languages are continually expanding, and more will be added in future updates.
How does CodeStory integrate with VSCode?
CodeStory seamlessly integrates with VSCode. It is built on the foundations of VSCode and allows users to migrate effortlessly, retaining their preferred extensions, shortcuts, and customizations.
Does CodeStory allow for prompt-based interactions?
Yes, CodeStory supports prompt-based interactions. Users can instruct the AI agent to perform specific tasks through these interactive prompts.
What benefits does CodeStory offer for code explanation and pull request summaries?
CodeStory provides significant value in terms of code explanations and pull request summaries. Its AI agent is capable of offering code explanations with surrounding context, providing users with a comprehensive understanding. For pull requests, summaries are auto-generated, saving time and ensuring preciseness.
What kind of tasks can I ask CodeStory to perform?
CodeStory can handle a multitude of tasks such as editing across files, searching, refactoring, and debugging. Through its prompt-based interactions, users can specifically instruct the AI agent to implement various tasks.
Can CodeStory perform search functions?
Yes, CodeStory is equipped with the ability to perform search functions. It enables intuitive search, allowing users to type naturally without worrying about syntax.
How does CodeStory facilitate interactive management of merging tasks?
CodeStory facilitates interactive management of merging tasks by allowing users to group git diffs into related chunks. This helps maintain order and prevents chaos within the codebase during merging and refactoring.

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