Manicode

Codebuff – Your Codebase, Fully Understood

Codebuff is a terminal-based AI coding assistant that indexes your entire codebase in seconds and provides surgical, context-aware code recommendations directly in your workflow. It integrates with any tech stack and requires no special environments beyond a Node.js/npm setup. It emphasizes deep project understanding, fast fixes, and continuous learning to improve with every session.

What it is

• An in-terminal AI coding assistant that deeply understands your project structure, dependencies, and patterns.
• Provides precise code edits, context-aware suggestions, and instant solutions tailored to your codebase.
• Designed for fast, non-intrusive integration into existing workstreams without setup hurdles.

How it works (high level)

• Builds a complete map of your project, including hidden dependencies.
• Offers surgical edits that respect your codebase’s structure and style.
• Learns from your interactions to persist project knowledge between sessions and improve over time.

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How to Use Codebuff

1. Install: npm install -g codebuff
2. Run Codebuff in your terminal within your project directory.
3. Ask for code changes, explanations, or generation tasks (e.g., implement a feature, fix a bug, optimize a function).
4. Review and apply the suggested changes, which are aligned with your existing code patterns.

Note: Codebuff emphasizes privacy and local-first behavior by learning and operating within your project context.

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What You Get

• Deep codebase awareness: full map of your project structure, dependencies, and patterns.
• Surgical edits: precise changes that respect existing code layout and style.
• Instant solutions: fast, context-aware code generation and fixes.
• Knowledge persistence: saves project knowledge between sessions to avoid repetitive work.
• Continuous learning: the system improves over time as you use it.
• Works with any tech stack and environment (no specialized setup required beyond npm).

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Safety and Best Practices

• Use results as guidance and review changes before merging.
• Ensure generated edits comply with your team’s coding standards and security policies.

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Core Features

• Terminal-based, zero-setup hurdle installation and usage
• Deep project knowledge: understands code structure, dependencies, and patterns
• Surgical code edits that respect existing design and style
• Instant, context-aware AI solutions tailored to the current codebase
• Knowledge persistence across sessions for faster future work
• Continuous learning to improve suggestions over time
• Works with any tech stack and environment (no special requirements)
• Lightweight, privacy-conscious operation with local reasoning within your repo