Engineering brief

Code is dead. Long live workflow design for AI agents.

David Ondrej1 min read · saves 42 min

At a glance

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Forston Ball argues that models are now reliable enough to spawn agents for every bug fix, making backlogs obsolete. The new bottleneck is workflow design, not coding skill.

The engineering workflow is shifting from writing code to designing agent workflows and information systems.

Summary

Forston Ball argues that the value of hand-crafted code is plummeting. AI models are now reliable enough that teams should trust them to write 99% of code, shifting the bottleneck from implementation to problem definition and information architecture.

The real engineering challenge is no longer syntax or correctness but workflow design. Teams should optimistically spawn agents to fix bugs asynchronously, park them in sandboxed orbs, and review results later. This eliminates the need for backlogs and traditional CI pipelines.

Local development is becoming obsolete. Remote sandboxes with agent-to-agent communication enable async collaboration, preview URLs with full context, and multiplayer review. The arguments for local editors vanish when agents handle latency and language servers.

The most dangerous assumption is that model quality remains the limiting factor. Ball claims the models are 'dead' as a differentiator; the real edge comes from knowing what to build and how to structure information for agents. Teams that cling to old workflows will be disrupted by those who redesign processes around agentic parallelism.

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