Ramp's AI Coding Agent: 30% Pull Request Adoption

Ramp's AI Coding Revolution

Ramp's Inspect is a compelling case study in the power of internal AI tooling, achieving significant adoption by providing developers with full access to their development environment. The architecture leverages Modal for sandboxed virtual machines, ensuring security and scalability, while Cloudflare Durable Objects manages state, vital for maintaining context during agent interactions. The multi-modal client interfaces, including Slack and a web interface, enhance accessibility and user experience. The most innovative aspect is the deep integration with Ramp's internal systems and databases, a clear advantage over off-the-shelf solutions. However, the article highlights a crucial limitation: the reliance on the underlying language model's intelligence. Despite the advanced tooling, the agent's performance is ultimately constrained by the model's accuracy, reasoning capabilities, and proneness to errors, necessitating human oversight. Furthermore, the build-versus-buy decision, while justified for Ramp, requires substantial engineering investment that might not be feasible for all organizations, especially smaller teams.

Key Points

• Ramp developed an internal AI coding agent, Inspect, that powers 30% of merged pull requests.

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📖 Source: Ramp Builds Internal Coding Agent That Powers 30% of Engineering Pull Requests