Evan Tahler

Evan Tahler

Head of Engineering

Prior to Arcade, Evan was the Director of Engineering of Sync Foundations and AI Pipelines at Airbyte, where he led the teams that focused on high-volume data movement and AI-pipeline products. He was the CTO and co-founder of Grouparoo, which was acquired by Airbyte.

Evan’s expertise lies in building the technical side of digital products, as well as growing the teams required to do so. He’s helped companies like Disney, TaskRabbit, ModCloth, and Airbus launch new global digital initiatives, and has co-founded multiple startups. He is named on a number of patents focusing on mobile interactions and digital entertainment. Evan is an open-source innovator, and frequent speaker at software development conferences focusing on Product Management, Data, Node.JS, Typescript, Rails, and DevOps.

Articles (3)

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MCP

curl for MCP: Why Coding Agents Are Happier Using the CLI

I've been thinking a lot about how coding agents interact with external services. At Arcade, we build agentic tools, so I spend most of my days watching AI agents try to do real things in the real world. And one pattern keeps bugging me. We're building increasingly complex integrations to connect coding agents to MCP servers. Custom SDKs, persistent connections, elaborate client configurations. But here's the thing: these agents already know how to use the CLI. They've been trained on millions of shell sessions. curl, git, docker, npm. They know the patterns. Flags, stdin, stdout, pipes, exit codes it's all in there. So why are we teaching them a new interface?

PRODUCT RELEASE

Patterns for Agentic Tools: Your agents are only as good as your tools.

The Moment Every few years, a new pattern language emerges that changes how we build software. In 1994, the Gang of Four gave us Design Patterns. In 2003, Hohpe and Woolf gave us Enterprise Integration Patterns. Since then: Microservices Patterns, Cloud Patterns, and now Agent Patterns. But there's a gap. Agents can chat and reason on their own - but they can't ‘act’ without tools. Standards like MCP have unlocked how agents discover and call tools. The protocol layer is solved. What's missin

THOUGHT LEADERSHIP

Designing SQL Tools for AI Agents

Operational vs Exploratory tools, least‑privilege access, and patterns that make LLMs reliable partners

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