The original title is "From Harness Engineering to Evals:" which is incomplete and vague. I need to rewrite it based on the summary content.

Short summary

Six patterns are reshaping production AI: Software Factories using repository-scale agents, Harness Engineering enforcing deterministic behavior, Computer Use enabling GUI automation, Context Engineering optimizing latency/cost, and rigorous task-oriented evaluations replacing vibe-based approaches. The industry is embedding LLMs as central processors in structured architectures rather than chat interfaces.

• •Software Factories: multi-agent systems managing entire codebases, replacing line-by-line code assist
• •Harness Engineering: strict wrappers enforcing deterministic outputs, state preservation, and cost efficiency
• •Production shift: LLMs embedded as central CPUs in structured architectures; moving from vibe-based to rigorous task-oriented evals

Generated with AI, which can make mistakes.