I Tested Matt Pocock's New /retro Skill...

The AI Automators8m 39s
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    Video summary

    Daniel Walsh reviews ten Claude sessions and ten Codex sessions from the same application using a retrospective skill. He explains how analyzing an agent's path to a result can reveal repeated commands, missing context and wasted work that are not obvious from the final code.

    Daniel Walsh identifies four recurring problems: unclear Windows startup instructions, test accounts that do not reproduce real users' saved configuration, long-standing failing tests that obscure regressions, and scripted edits that corrupt special characters. He distinguishes improvements to task context and test coverage from failures that need automatic protections.

    Daniel Walsh argues that a memory reminder is insufficient when agents repeatedly damage files. He describes checking edits before accepting them and preserving originals on failure, positioning session reviews as a complement to linters, type checks, tests and dependency scanning rather than a replacement.

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    Daniel Walsh beside the blue and white headline “CODING AGENTS - REVIEW AND LEARN” on a black background. Framed in blue with WWW.ARTIFICIAL-INTELLIGENCE.VIDEO, 6 October 2026 and duration 8m 39s.

    Daniel Walsh uses retrospective session analysis to identify repeated coding-agent failures that finished code and ordinary tests can miss.