Developer Tests pdlc-skills Loop Engine by Shipping Three Features in 88 Minutes

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A software developer used the pdlc-skills AI-assisted development loop to build three parallel features for a personal console project, completing all of them in 88 minutes. The three features — cross-node review, origin filtering, and benchmark flags — ranged between 800 and 1,500 lines of diff each and were managed through a coordinating AI session alongside automated subprocesses. Work was split using three rules: separating features by code dependency, sizing each to fit a three-step TDD-implement-review cycle, and avoiding shared file edits across parallel branches. The last rule was violated, as all three features touched the same receipt-aggregation module, causing merge conflicts that added roughly ten extra minutes. After passing a quality gate, the release was deployed to two machines, with the project starting from a baseline of 421 unit tests, 52 end-to-end cases, and 89.6% code coverage.

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