Linear Team Shares Practical Guide to Building Production AI Agents
petergyang · x · 2026-08-11
Peter Yang interviewed the Linear team about building production-grade AI agents end-to-end, highlighting key engineering lessons:
- Map real workflows: Identify where tasks start, context lives, and human review is needed. Use existing tools like Slack as the entry point rather than a standalone bot.
- Dynamic context loading: Give the agent tools to fetch context dynamically instead of overstuffing the prompt with instructions.
- Nail one use case first: Launch with a single high-frequency job, then expand based on actual user behavior.
- Optimize for cost later: Prove the core workflow with the best model available before downgrading for cost efficiency.
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