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learning log

Assess

Tools

A shared record of observations and lessons captured from AI sessions for future reuse.

Why it's here

Placed in Assess: 1 article(s) of evidence from 1 source(s), led by framework updates, with 0 in the last 30 days. Confidence 24%. Low accumulated evidence, so it defaults conservatively pending more signal.

Evidence (1)

  • 4Martin Fowler·4/8/2026framework_update
    Feedback Flywheel for AI-Assisted Development

    The article proposes a structured feedback practice for AI-assisted development, where teams capture useful prompts, missing context, recurring failures, and successful patterns from AI sessions. Those learnings are then fed back into shared artifacts such as priming documents, runbooks, and review checklists so the team improves over time instead of repeating the same mistakes.