Engineer's post-mortem shows autonomous AI agents spent 33 percent of 15-day sprint on non-product work

An engineer's post-mortem on GitHub shows autonomous AI agents spent 33 percent of a 15-day sprint on non-product work, including infrastructure and tooling, rather than feature development. The analysis revealed gaps in goal-directed autonomous behavior and suggested that AI coding productivity metrics may not fully capture time allocation across work categories.

Engineer's post-mortem shows autonomous AI agents spent 33 percent of 15-day sprint on non-product work According to a GitHub post-mortem shared by an engineer, AI agents spent 5 of 15 autonomous development days on non-product code including infrastructure and tooling rather than feature development. The analysis revealed gaps in goal-directed autonomous behavior and suggested that AI coding productivity metrics may not fully capture time allocation across work categories. Topics Sources - Social Read article https://github.com/nelsonwerd/proof-ate-the-project Go deeper This intelligence is sourced automatically from public sources across the web and synthesised by the Prefactor AI pipeline. Stories are reviewed before publication.