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.
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.
To use CodeStory effectively, follow these steps:
By following these steps, users can harness the power of CodeStory to enhance their software development experience.
I appreciate the interactive coding feature. It allows me to communicate with the AI in a more natural way, which is helpful for understanding complex code.
The tool often struggles with specific languages, particularly those that aren't as mainstream. I've encountered bugs that made refactoring difficult.
While it helps with quicker code generation, the inconsistency in performance has led me to revert to traditional coding methods more often than I would like.
The community resources are fantastic. I've found numerous tutorials and discussions that have helped me learn the platform better.
The AI can be slow at times, especially when processing larger codebases. This reduces my overall efficiency.
It allows me to quickly prototype ideas, but the performance limitations mean I often have to troubleshoot issues manually.
I love the intuitive search function. It makes finding specific code snippets so much easier without having to remember exact syntax.
Sometimes, the AI's contextual code explanations can be overly simplistic, missing out on deeper insights.
It helps me save time by generating code snippets quickly, which allows me to focus on higher-level design and architecture.