Every software company will become a dev tools company

As AI generates an increasing share of application code, the author argues that software companies will need to treat platform engineering as a central function for building the internal tools, governance, and workflows that allow developers to use coding agents safely and effectively. Rather than maintaining separate delivery and AI-development platforms, organizations are expected to consolidate them into a single control plane responsible for approved models and frameworks, cost management, access controls, feedback loops, testing, and codebase-specific guardrails. The article describes “harness engineering” as an AI-focused extension of platform engineering that gives agents the context, rules, and automated feedback needed to avoid recurring errors and improve work before human review. It contends that without shared platforms, teams will independently create inconsistent prompts, dashboards, and safeguards, increasing fragmentation and downstream friction. The author concludes that AI productivity will depend less on choosing a particular model than on investing in platform teams that can build and maintain the infrastructure for reliable, scalable AI-assisted software development.

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