How Stripe Uses Python
9 engineering articles about Python from Stripe's engineering team
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The article discusses the integration of Stripe's Model Context Protocol (MCP) with Portia AI, focusing on creating a customer refund agent that emphasizes human control during money movement opera...
Mounir Mouawad
7 min read
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The article discusses how to integrate Stripe Data Pipeline (SDP) with Google Cloud Storage (GCS) and BigQuery to enhance analytics capabilities for businesses.
Sushant Jain
8 min read
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This article provides a comprehensive guide for developers on building reliable Stripe integrations, emphasizing best practices and key considerations for payment processing.
James Beswick
16 min read
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The article discusses the importance of handling errors in payment integrations and introduces the Sandboxes feature from Stripe, which allows developers to test their integrations in an isolated e...
David Edoh-Bedi
7 min read
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The article discusses how to integrate payments into workflows utilizing Large Language Models (LLMs) and function calling, specifically through the Stripe agent toolkit.
The article discusses the importance of preparing for Stripe API upgrades by using the Sandboxes feature to create isolated test environments.
The article discusses how Stripe adapted Airbnb's Chronon platform to create Shepherd, a next-generation ML feature engineering platform that enhances the development and deployment of ML models at...
The article discusses the challenges and solutions Stripe engineers face in maintaining a continuous integration (CI) system that balances speed and security.
Sushain Cherivirala
11 min read
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Sorbet is Stripe's open-source type checker for Ruby, designed to enhance code clarity and productivity in a large codebase.
Jake Zimmerman
11 min read
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