Linear Team Shares Core Pitfalls of Building Production AI Agents
petergyang · x · 2026-08-08
The author points out that the biggest bottleneck to building a great AI agent isn't the underlying model, but engineering pitfalls: burying the agent in too much context, lacking tools for autonomous retrieval, and trying to cover too many scenarios instead of focusing on core features.
He also previews an upcoming deep dive where Linear's Nan and Jacob will walk through their entire process of building and launching a production-grade agent from scratch, including the original internal product memo that started it all.
Related event: Linear Team Shares Guide on Building Production-Grade AI Agents(3 posts)→
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