Browse past weeks of engineering reads.
Determining which types of evidence are most effective at helping merchants win disputed transactions classified as 'product not received' to reduce chargeback losses.
This article does not present a specific engineering problem or technical solution.
How to extract and analyze spending pattern insights from a massive distributed payment dataset across 250 million customers to identify emerging market trends.
AI agents can write code and integrate with APIs, but struggle with adjacent tasks like project setup, provider configuration, and deployment orchestration.
Stripe needed to help merchants reduce network costs and improve authorization rates by integrating with Visa's Digital Commerce Authentication Program (DCAP) while maintaining transaction reliability.
Enable businesses to efficiently monetize global demand by handling the complexity of localized payments, multi-currency transactions, fraud detection, and tax compliance across different regions.
Detecting and preventing fraudulent payments in real-time as AI tools become more sophisticated and lower barriers to attack.
How to enable AI agents to autonomously execute commerce transactions while maintaining Stripe's reliability and payment processing standards.
Detecting and preventing fraud across heterogeneous payment methods and merchant platforms while identifying emerging fraud patterns like multi-account abuse and pay-as-you-go abuse.
This article is not a technical engineering post and does not address a system design problem.
Vertical SaaS platforms needed to expand their service offerings beyond pure software to include integrated payments, financial services, and agentic commerce capabilities to build more defensible and durable businesses.
Building reliable payment and commerce systems that can handle autonomous AI agents as buyers, which introduce new failure modes and consistency requirements not present in traditional e-commerce.
Detecting and preventing first-party fraud at scale across a payment network where legitimate users abuse policies through multiple accounts, free trial cycling, and refund exploitation.
How to make payment infrastructure more programmable while maintaining reliability across a global distributed network and enabling new use cases like AI economic infrastructure.
Enable autonomous agents to programmatically access payment instruments and execute transactions without requiring human intervention or direct card/account access.
Detecting and preventing fraudulent behavior in free trial signups, such as repeated trial abuse and missed cancellations, at scale with high accuracy.
Understanding and optimizing the checkout conversion funnel across diverse ecommerce businesses to identify what drives successful transactions in modern online payment flows.
How to integrate AI agents into ecommerce platforms to enable seamless product discovery and checkout across embedded and third-party surfaces.
Enable autonomous agents and machines to initiate and complete payments programmatically over the internet without requiring human intermediation.
How to automatically localize subscription pricing across 150+ countries while measuring the business impact of dynamic pricing on conversion and lifetime value.
Detecting and preventing sophisticated fraud attacks while minimizing friction for legitimate users in payment systems.