- Software Engineers & Teams: Collaborate across large or unfamiliar codebases with intelligent, multi‑file AI editing.
- Open‑Source Contributors: Navigate and enhance repos using AI agents for context-driven suggestions.
- SDETs & Test Engineers: Automatically detect and fix linter errors with proactive AI.
- Learners & Students: Learn coding structure and best practices via guided AI explanations and edits.
- Developers Concerned About Privacy: Use AI-powered workflows entirely locally without external servers.
How to Use CodeStory?
- Download & Install: Set up the open-source VS Code fork on your machine.
- Open Your Repository: Your full codebase loads locally to provide AI context.
- Issue AI Prompts: Use chat or inline commands to instruct the AI on edits or code generation.
- Accept & Refine: Review AI-generated changes, apply by file or project-wide, and refine as needed.
- Manage Sessions: Use built-in checkpoints, versioning, and rollbacks to control changes over time.
- Multi‑File Edits: AI can make coordinated changes across many files with consistent logic and safety.
- Proactive Agents: Automatically fix linter errors, type mismatches, and common pitfalls.
- Deep Code Awareness: Utilizes language servers, AST data, and code graphs for accurate context.
- Privacy‑First Local Execution: AI runs on your machine with full session control and no server dependency.
- Agentic Architecture: Combines chat, terminals, LSP interactions, and code graphs for advanced workflows.
- AI-First IDE: Designed specifically for developer + AI collaboration, not an add‑on.
- Local Control: All models and context live on your machine, preserving privacy.
- Robust Change Management: Features history, checkpoints, and rollbacks ensure safe iteration.
- Smart Refactoring: Efficient multi‑file navigations and edits with AST-level understanding.
- Early-Stage UX: Still polishing editor experience compared to mainstream IDEs.
- Setup Required: Must download and configure locally—no browser version available.
- Experimental Features: Some agentic workflows and tools are in beta and may evolve rapidly.
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Editorial Note
This page was researched and written by the ATB Editorial Team. Our team researches each AI tool by reviewing its official website, testing features, exploring real use cases, and considering user feedback. Every page is fact-checked and regularly updated to ensure the information stays accurate, neutral, and useful for our readers.
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