Building Ramp's MCP server
We discuss the MCP server we built to let LLMs interact with our resources.
Turbo-Charging ML Development
How Ramp built a YAML-based configuration system to speed up ML development and deployment.
From RAG to Richness: How Ramp Revamped Industry Classification
How Ramp used Retrieval-Augmented Generation (RAG) to build a state-of-the-art in-house industry classification model.
Improving Retrieval on Ramp with Transaction Embeddings
How we used triplet loss and embeddings to improve accounting on Ramp.
Make Better Decisions by Embracing Uncertainty
How Ramp applied Thompson Sampling to improve bank linking success rates
Increasing velocity by modernizing a Python codebase
How we modernized a machine learning codebase to increase velocity, quality, and confidence
Learnings from Building and Scaling Ramp’s Growth Engine
How we applied engineering and product principles to scale Ramp to become one of the fastest growing software businesses of all time
Engineering Management
Reflections on creating and scaling the Core Engineering team
Abstraction Engineering
The genesis of Ramp’s workflows product and lessons learned
Finding the right balance of speed and security through just-in-time access to cloud resources
How Ramp achieved just-in-time access in AWS
Picking Low Hanging Fruit
With the passage of time, small inefficiencies can add up to big bottlenecks
How Ramp Accelerated Machine Learning Development to Simplify Finance
A walkthrough of why and how Ramp uses Metaflow for machine learning engineering
What I learned taking Ramp Bill Pay from 0 to N
The lessons I learned tech leading bill pay from 0 to 1
Moving Fast by Moving Slow: How We Built Payments at Ramp
A deep dive into why investing in scalability, reliability, and extensibility from Day 1 embodied our mantra of velocity at all costs.
How Ramp builds customer-first AI
Principles for developing AI models that consistently deliver meaningful outcomes
Responsibly mid-size: What Matters, Suffers
Questioning what is gained from "clean code" in actual, production environments.
Cost Efficient Snowflake CI
How Ramp tackled runaway Snowflake costs.
Rate limiting with Redis
How we built a general-use Redis-backed rate limiter
Faster Pull Request Merges
Unblocking engineers by letting them merge their code 5x faster.
Faster Python Tests
A couple quick wins and a bigger bet to speed up our CI test durations
Bootstrapping a UI component library
Building — and adopting — a component library in the context of a vibrant business is no easy feat. Here are a few things we've learned.
Making big bets in business
How we built Ramp by taking asymmetric risks, and why you should, too
Engineering Principles at Ramp
Seven principles Ramp uses to develop high-quality products, quickly
Elixir at Ramp 🧪
Pablo talks about how and why we use Elixir at Ramp.