finance Programming Tutorials & Engineering Articles

ClickHouse, a leader in real-time analytics, data warehousing, observability, and AI/ML, today announced the appointment of Michael Scarpelli to its Board of Directors

Stripe’s next generation of reporting APIs are focused on enterprise scalability, and this post shows you how to use them in your financial reporting infrastructure.

Discover how Stripe Scripts, Workflows, Custom Objects, and UI extensions help businesses customize logic, data, and operations directly within Stripe.

We’ve built an AI agent that acts as a secondary expert for a given domain, making deep specialist knowledge readily available and preserved for anyone in an organization to access, share, and buil…

Suprema Gaming migrated its analytics platform from Snowflake to ClickHouse Cloud to power a company-wide shift toward agentic operations.

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.