Senior engineer audits 12 issues of AI-assisted work, finds most gains stuck in memory

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A senior software engineer and tech lead, writing under the newsletter 'The Level 5 Engineer,' conducted a full inventory of skills and workflows accumulated over twelve documented issues of AI-assisted development. The audit, framed around a five-level AI proficiency model credited to CEO Dan Shapiro and AI strategist Nate B. Jones, revealed that only 4 of 17 identified items had been properly converted into reusable, structured skills. Four high-priority items — including a session-start protocol, a spec-audit framework, and a step-definition writing pattern — remained as informal prose or human memory rather than enforceable agent infrastructure. The engineer notes that consistency across sessions had been maintained not by any system, but because the same author repeatedly pasted the same instructions manually. The audit marks the end of what the author calls 'Layer 2,' signaling a shift toward building more robust, codified AI workflows.

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