Design patterns
Design patterns on Beyond Market Intelligence: a running collection of 2 stories we have gathered and hand-picked because they are worth your time. Every post here touches on design patterns in some way — the news, the analysis, the deep dives, and the occasional surprise find. Acme AI is the next-generation, AI-powered spreadsheet platform built to replace Excel and redefine how analysts, data scientists, and enterprise teams work with data. New stories are added to this page as we find them, so check back if you want to keep up with what is happening around design patterns, or subscribe to the RSS feed to get them as soon as they are published. Browse the collection below, or head back to the homepage to see everything Beyond Market Intelligence is covering right now.

Presentation: From Copy-Paste to Composition: Building Agents Like Real Software
Jake Mannix’s presentation, "From Copy-Paste to Composition," addresses a critical evolution in AI agent design. Moving beyond rudimentary architectures, Mannix outlines a framework for building agents akin to robust software – versioned, encapsulated "virtual tools." This approach leverages an intermediate protocol layer to enable key capabilities like interface mapping and dynamic schema projection. Crucially, it incorporates runtime taint tracking to proactively mitigate data exfiltration risks, all while maintaining development velocity.

Stop Using If-Else Chains: Use the Registry Pattern in Python Instead
Stop wrestling with convoluted if-else chains in your Python code. The Registry Pattern offers a cleaner, more extensible approach to dispatching logic – a vital upgrade for maintainable projects. By centralizing your function mappings, you’ll streamline your codebase and simplify future modifications. Explore this pattern to unlock greater flexibility and readability. For broader insights into orchestrating complex workflows, see our article, "7 Python Frameworks for Orchestrating Local AI Agents," and discover tools engineers are using to build sophisticated agent systems.