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Martin Fowler

OpenAI's recent write-up describes building a 1-million-line application using AI agents with no manually typed code, relying on a "harness" of tooling and practices to maintain quality. The harness includes context engineering (knowledge bases, observability data), architectural constraints (custom linters, structural tests), and periodic "garbage collection" agents. This approach suggests a future where teams might adopt standardized harnesses as new service templates, potentially leading to convergence on fewer tech stacks and architectural patterns optimized for AI maintainability. The effort required is substantial—5 months of harness development—and raises questions about retrofitting existing codebases versus building new applications with AI-first constraints.

Harness Engineering

Harnesses - the future service templates?

The runtime has to be constrained for more AI autonomy?

A convergence on a limited number of tech stacks and topologies?

Two future worlds: Pre-AI vs post-AI application maintenance?