CodeStoryCodeStory is an AI-powered modification of Visual Studio Code (VSCode) that introduces a novel approach to software development. Unlike traditional manual coding, CodeStory allows users to interact with their code by simply describing what they want, and the AI agent takes care of the rest. This AI agent, built on the foundations of VSCODE, offers various functionalities such as editing across files, searching, refactoring, and debugging.The tool supports prompt-based interactions where users can instruct the AI agent to perform specific tasks and witness the magic unfold. It seamlessly integrates with VSCODE, allowing users to migrate effortlessly while retaining their favorite extensions, shortcuts, and customizations. CodeStory offers several valuable features, including code explanations with surrounding context, auto-generated pull request summaries, and changelogs created with full context. It also enables intuitive search, eliminating concerns about syntax. The tool facilitates interactive management of merging and refactoring tasks, preventing chaos within the codebase.Supported languages are continually expanding, with more to come in future updates. CodeStory ensures compatibility with new VSCODE releases, providing users the freedom to choose without compromising on features.Although more features are in development, interested users can try an early build of CodeStory to explore its capabilities. The tool is supported by a blog and changelog, and the company behind it has a Y Combinator profile, a Discord community, and a presence on Twitter and LinkedIn.
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ComposableComposable is an API-first platform for building AI/LLM applications. It provides an LLM interaction design studio, prompt library, advanced LLM virtualization layer, orchestration engine, API service, executions store, analytics, QA tools and more. With fine-grained security, governance, versioning, and fine-tuning capabilities, Composable is the ideal software for enterprise teams looking to automate and augment their business processes and applications with LLM-powered tasks.
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