Coding Assistants

    AI that codes like your team

    Generic AI assistants suggest generic code. They don't know your error handling patterns, your naming conventions, or that you always use TypeScript interfaces. Memory changes that.

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    auth.ts
    Learned from 47 files

    Why AI code suggestions feel wrong

    You've used Copilot or Cursor. The suggestions are technically correct but feel off. They use different error handling than your codebase. They suggest patterns you'd never use. They don't know about your custom utilities or team conventions.

    The problem is context. These tools see your current file, maybe a few related files. But they don't know:

    Your patterns

    You always wrap async calls in try-catch with typed errors. You use a specific logging format. You prefer composition over inheritance. The AI doesn't know any of this.

    Your history

    Last week you solved a similar problem. Last month you refactored this exact pattern. The AI can't learn from your past decisions — every suggestion starts from scratch.

    Your team's conventions

    Your team has agreed on API structures, testing patterns, and documentation styles. New developers take months to learn these. AI assistants never do.

    Code assistants that learn your style

    With MemoryStack, your coding assistant builds a memory of your patterns. It learns from every file you write, every suggestion you accept, every refactor you make. Over time, it suggests code that looks like you wrote it.

    1

    Pattern extraction

    Analyze your codebase to extract patterns: error handling, API structures, testing approaches, naming conventions. Store these as searchable memories.

    2

    Context-aware suggestions

    Before generating code, retrieve relevant patterns. "User is writing error handling" → fetch their error handling patterns → suggest code that matches.

    3

    Continuous learning

    Track which suggestions get accepted. Learn from refactors. The assistant gets better with every interaction, adapting to how your style evolves.

    What this looks like in practice

    Error Handling
    Generic AI
    try { ... } catch (e) { console.log(e) }
    With Memory
    try { ... } catch (e) { throw new AuthError(e, { userId }) }

    Uses your AuthError class

    API Endpoints
    Generic AI
    app.get('/getUser/:id', ...)
    With Memory
    app.get('/api/v1/users/:id', ...)

    Follows your /api/v1/ convention

    Component Props
    Generic AI
    function Button(props) { ... }
    With Memory
    function Button({ variant, size }: ButtonProps) { ... }

    Uses your ButtonProps interface

    Build it into your tools

    Add memory to your IDE extension, CLI tool, or code review bot. The API is simple — store patterns, retrieve context, generate better suggestions.

    Works with any LLM — OpenAI, Anthropic, local models
    Sub-100ms retrieval for real-time suggestions
    Per-developer and team-wide pattern storage
    Track acceptance rates to measure improvement
    assistant.py
    from memorystack import MemoryStack

client = MemoryStack(api_key="your-api-key")

async def code_assistant(dev_id: str, context: str, query: str):
    # Get patterns from this developer's history
    patterns = await client.search(
        query=f"{query} {context}",
        user_id=dev_id,
        metadata={"type": "code_pattern"}
    )
    
    # Get team-wide conventions
    team_patterns = await client.search(
        query=query,
        metadata={"type": "team_standard"}
    )
    
    # Generate suggestion using learned patterns
    suggestion = await generate_code(
        query=query,
        context=context,
        patterns=patterns,
        team_standards=team_patterns
    )
    
    # Store if accepted (for future learning)
    if suggestion_accepted:
        await client.add(
            content=f"Pattern: {query} -> {suggestion}",
            user_id=dev_id,
            metadata={"type": "code_pattern", "accepted": True}
        )
    
    return suggestion

    Build AI that codes like you

    Start with 1,000 free memories. Teach your AI your patterns.

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