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Insights · Engineering Velocity

Everything on Engineering Velocity

2 insights · 2 episodes

  1. Engineering throughput can be doubled by transitioning to an "agent-first" mindset where all technical work is reimagined around AI agents rather than just augmenting human typing.

    Impact: Dramatic reduction in time-to-market for new features and a significant increase in R&D efficiency.

    — from Scaling Engineering Velocity through Agentic AI: Intercom's Framework · How I AI· Apr 20, 2026

  2. Stripe lands approximately 1,300 pull requests per week initiated by autonomous agents, with human involvement limited to review. This demonstrates the viability of high-volume agentic workflows in production environments.

    Impact: Organizations can significantly accelerate development cycles and reduce time-to-market by integrating autonomous agents into standard engineering workflows, provided review capacity scales accordingly.

    — from Stripe's Agentic Engineering: Minions, Cloud Velocity, and Machine Payments · How I AI· Mar 25, 2026