finance Programming Tutorials & Engineering Articles

Long-running AI agents spend most of their time on high-volume execution: tool calls, result validation, and subagent delegation. Using a frontier reasoning…

Stripe's Knowledge AI Platform is our versatile AI agent platform built to handle diverse non-coding knowledge work, from quick queries to complex, multi-day projects. By connecting employees to over 1,000 internal tools and skills, it enables secure, enterprise-scale productivity across the organization.

Postgres managed by ClickHouse's first major update since public beta, covering fine-grained access control, a redesigned console, Terraform support, MCP integration, Stripe provisioning, migrations, billing, and capacity reservations — all shipped in und

We've released @clickhouse/rowbinary a Node.js reader and writer for ClickHouse's RowBinary formats. You can import it and call its generic parser like any other library. But it also ships as an Agent Skill: point a coding agent at the bundled `SKILL.md`

Across science, engineering, and finance, many of the most important risks come from low-likelihood, high-impact events. Estimating the probability of these…

Every swipe, transfer, and payment on a modern financial network encodes a pattern of human behavior. Transaction data is one of the richest signals an…

For product-led businesses, conversion is paramount, so an important consideration is deciding whether to implement synchronous or asynchronous tax ID validation in a checkout flow. One is friendlier for conversion, but the other can keep your business compliant.

In quantitative finance, researchers build algorithms to trade assets, derivatives, and other financial instruments. A key part of that work is finding signals…

Agents acting on behalf of a user provides a natural starting point for finance teams beginning to adopt agents, as well as for fully autonomous companies.

Agentic systems often reason across screens, documents, audio, video, and text within a single perception‑to‑action loop. However, they still rely on fragmented…

Federated learning (FL) is no longer a research curiosity—it’s a practical response to a hard constraint: the most valuable data is often the least movable.

Google Cloud has introduced the Agents CLI, a specialized tool designed to bridge the gap between local development and production-grade AI agent deployment. The CLI provides coding assistants with machine-readable access to the full Google Cloud stack, reducing context overload and token waste during the scaffolding process. By streamlining evaluation, infrastructure provisioning, and deployment into a single programmatic backbone, the tool enables developers to move from initial concept to a live service in hours rather than weeks.

How and why we built a real-time AI spend and usage pipeline for finance teams.

In this post we’ll dive into how we built a virtual cashless payment method that works for prepaid and Stripe-issued credits, and cleanly integrates with our accounting, compliance, and other frameworks.

The Gemmaverse expands with the launch of the latest Gemma 4 multimodal and multilingual models, designed to scale across the full spectrum of deployments…

This blog post introduces a workflow for extracting high-quality data from complex, unstructured documents by combining LlamaParse with Gemini 3.1 models. It demonstrates an event-driven architecture that uses Gemini 3.1 Pro for agentic parsing of dense financial tables and Gemini 3.1 Flash for cost-effective summarization. By following the provided tutorial, developers can build a personal finance assistant capable of transforming messy brokerage statements into structured, human-readable insights.

How I spent my fall internship building accounting automations to save finance teams time during month-end close.

A review of my summer internship on Ramp's Forward Deployed Engineering Team working on automatic hotel receipt retrieval.

Three months of learning and building at New York City's fastest-growing startup.