Code Extractor

Identify, isolate, and index code blocks from AI conversations and technical documents. Language detection, syntax validation, and dependency identification happen automatically. Every extracted block links back to the conversation context where it was developed — including the discussion, iteration, and alternatives considered.

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Core Capabilities

Detect	Validate	Preserve
Automatic code block detection across conversations and documents in 50+ languages.	Syntax validation, dependency analysis, and import identification.	Every extracted snippet links back to the conversation context where it was developed.

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The Problem We Solve

"My best code is buried in hundreds of chat messages"

AI coding sessions produce excellent code — but it's buried in conversations surrounded by discussion, iteration, false starts, and refinement. Code Extractor surfaces the final, usable code blocks and stores them in a searchable library.

"I can't find that Python script from last month's session"

You know you wrote it. You know roughly what it did. But it's in one of fifty conversation exports and you can't remember which. Code Extractor indexes every code block across your entire corpus, searchable by language, content, and context.

"The code block lost all its context"

Copying code from a conversation strips away the reasoning that produced it — why certain approaches were rejected, what trade-offs were considered, what the requirements were. Code Extractor preserves the full conversation context alongside every snippet.

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How It Works

1. Scan — Every source in the corpus is scanned for code blocks — fenced blocks, inline code, and structured data formats
2. Detect — Language identification classifies each block: Python, TypeScript, SQL, Bash, and 50+ languages
3. Validate — Basic syntax validation catches obvious errors; dependency analysis identifies imports and requirements
4. Index — Extracted blocks enter a searchable snippet library with tags, language, source attribution, and surrounding context
5. Link — Each snippet maintains a provenance link to the exact conversation message or document section it came from
6. Browse — Search and filter your code library by language, topic, source, or date in the Extraction Studio

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What We Deliver

• Automatic code block detection across conversation messages and documents
• Language identification for Python, TypeScript, SQL, Bash, and 50+ languages
• Syntax validation and basic error detection
• Dependency and import analysis
• Context preservation — links to surrounding discussion and alternatives considered
• Searchable snippet library with tags, language, and source attribution
• Version tracking when the same code is iterated across multiple messages
• Export to file or clipboard with attribution comments

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Integration with Other Features

• Message Splitter — Code blocks are identified during conversation splitting
• Evidence Panel — Compare extracted code with its original conversation context
• Corpus Index — Search for code snippets across the entire corpus
• Source Browser — View extracted code in the context of the full conversation

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Related

• Product: Extraction Studio
• Solution: Extract Knowledge
• Use Cases: For Developers, For Researchers

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