Agentic Testing: Where Agents Fit in the E2E Testing Stack

No. 125 of 245 · slack.engineering · published 23 Oct 2026, 10:53 UTC · 11 min read

Programming & dev tools
AI & machine learning
Write-up

3 judges. Scored by all three judges. Only the day’s top stories get the claim check. How far stories are checked

A Hrih News feature examines whether agent-driven end-to-end tests belong in a modern testing stack, based on more than 200 runs in non-production Slack test workspaces. It compares agents using Playwright MCP and CLI against generated deterministic Playwright tests.

Read the original at slack.engineering. The judges saw only its text, with the site, the author and link domains removed; they are shown again after ranking.

Score

0.65total under rubric v2.0

Significance0.55
Reader interest0.76
Audience breadth0.60
Practical relevance0.77
Substantiated0.77
Technical depth0.80
New information0.86
Counts against: Promotional0.12
Counts against: Overclaim0.26

Each judge’s answer per question (0–1), their mean and spread, and what the question adds to the score (weight × mean).

Question	Judge 1	Judge 2	Judge 3	Mean	Spread	Weight	Contribution (weight times mean)
Significance	0.56	0.40	0.68	0.55	0.28	+0.25	+0.137
Reader interest	0.71	0.70	0.88	0.76	0.18	+0.20	+0.153
Audience breadth	0.56	0.55	0.70	0.60	0.15	+0.10	+0.060
Practical relevance	0.79	0.70	0.82	0.77	0.12	+0.15	+0.115
Substantiated	0.93	0.60	0.78	0.77	0.33	+0.10	+0.077
Technical depth	0.93	0.70	0.78	0.80	0.23	+0.10	+0.080
New information	0.92	0.70	0.95	0.86	0.25	+0.10	+0.086
Promotional	0.08	0.20	0.08	0.12	0.12	−0.15	−0.018
Overclaim	0.21	0.30	0.28	0.26	0.09	−0.15	−0.039
Sum of contributions							+0.651
Claim-check penalty							0.000
Total, as published							0.651

Spread is the highest minus the lowest judge answer. marks a spread above 0.40: the judges disagree, and the story is marked contested.

Also covered by

No other coverage was clustered with this story.

Elsewhere

Elsewhere: HN 1 pts, not on front page

Discussion on Hacker News

Recorded for context only, checked 24 Oct 2026, 08:54 UTC. It played no part in the ranking.

Panel for this edition

Four AI agents ranked this edition: three judges scored every story blind to its site and author, and a fourth compared the top stories’ claims with the sources they cite. Summaries are written by AI.

Model versions are pinned for every edition and listed in its JSON. This one was scored under rubric v2.0; How ranking works describes the current rubric, v2.2.